RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: SCI TRAVEL: No Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman's Space Sector is seeking a Principal or Senior Principal Systems Engineer Level 3 or Level 4 to join our team in Dulles, VA. This position is 100% onsite and cannot accommodate telecommute work. The job responsibilities will be as an individual-contributor and deliverable/product lead within a multi-disciplinary engineering team, specifically supporting functions related to Fault Management and System Autonomy (FMSA) for space systems. This position will work a 9/80 schedule, with every other Friday off. Your Role and Impact: Perform traditional Systems Engineering functions, including requirements synthesis and flow-down, verification/validation planning, system trades study support, systems analysis, coordination of design efforts, and management of technical budgets & interface definitions The application of these systems engineering functions will be in the context of fault management, system autonomy The candidate must be able to assist in the formulation of system design, definition of concept of operations, and systems analysis for failure modes and effects, including their identification and mitigation through autonomous or operational controls Designing, implementing, and validating Fault Management and System Autonomy Flight Software using flight-like simulations and flight hardware Must be knowledgeable in spacecraft subsystem design, spacecraft testing, flight software best practices, and mission operations Candidate may be called on to assist in new business activities, such as conceptual design and analysis for proposals and funded studies and may include authoring sections for both Presentation skills and the ability to communicate complex technical concepts to either technical or nontechnical audiences is required This position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. This position can be filled at either a Level 3 or Level 4. Basic Qualifications for Level 3: Bachelor's degree with 5 years of professional experience or Master's degree with 3 years of professional experience or PhD with 1 year of professional experience Requires an active Top-Secret/Sensitive Compartmented Information (SCI) clearance at time of application Experience in Systems Engineering for mission critical applications Mission and/or vehicle systems engineering experience Software coding or scripting experience Basic Qualifications for Level 4: Bachelor's degree with 8 years of professional experience or Master's degree with 6 years of professional experience or PhD with 4 years of professional experience Requires an active Top-Secret/Sensitive Compartmented Information (SCI) clearance at time of application Experience in Systems Engineering for mission critical applications Mission and/or vehicle systems engineering experience Software coding or scripting experience Preferred Qualifications: Failure analysis or fault management technical experience Experience defining requirements & interfaces Understanding of spacecraft integration & test, launch, and mission operations Experience developing verification documentation Experience with architecture development Experience with spacecraft mission operations Familiarity with electrical & computer systems Familiarity with command and telemetry databases Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below: Primary Level Salary Range: $114,000.00 - $171,000.00 Secondary Level Salary Range: $142,200.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/24/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: SCI TRAVEL: No Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman's Space Sector is seeking a Principal or Senior Principal Systems Engineer Level 3 or Level 4 to join our team in Dulles, VA. This position is 100% onsite and cannot accommodate telecommute work. The job responsibilities will be as an individual-contributor and deliverable/product lead within a multi-disciplinary engineering team, specifically supporting functions related to Fault Management and System Autonomy (FMSA) for space systems. This position will work a 9/80 schedule, with every other Friday off. Your Role and Impact: Perform traditional Systems Engineering functions, including requirements synthesis and flow-down, verification/validation planning, system trades study support, systems analysis, coordination of design efforts, and management of technical budgets & interface definitions The application of these systems engineering functions will be in the context of fault management, system autonomy The candidate must be able to assist in the formulation of system design, definition of concept of operations, and systems analysis for failure modes and effects, including their identification and mitigation through autonomous or operational controls Designing, implementing, and validating Fault Management and System Autonomy Flight Software using flight-like simulations and flight hardware Must be knowledgeable in spacecraft subsystem design, spacecraft testing, flight software best practices, and mission operations Candidate may be called on to assist in new business activities, such as conceptual design and analysis for proposals and funded studies and may include authoring sections for both Presentation skills and the ability to communicate complex technical concepts to either technical or nontechnical audiences is required This position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. This position can be filled at either a Level 3 or Level 4. Basic Qualifications for Level 3: Bachelor's degree with 5 years of professional experience or Master's degree with 3 years of professional experience or PhD with 1 year of professional experience Requires an active Top-Secret/Sensitive Compartmented Information (SCI) clearance at time of application Experience in Systems Engineering for mission critical applications Mission and/or vehicle systems engineering experience Software coding or scripting experience Basic Qualifications for Level 4: Bachelor's degree with 8 years of professional experience or Master's degree with 6 years of professional experience or PhD with 4 years of professional experience Requires an active Top-Secret/Sensitive Compartmented Information (SCI) clearance at time of application Experience in Systems Engineering for mission critical applications Mission and/or vehicle systems engineering experience Software coding or scripting experience Preferred Qualifications: Failure analysis or fault management technical experience Experience defining requirements & interfaces Understanding of spacecraft integration & test, launch, and mission operations Experience developing verification documentation Experience with architecture development Experience with spacecraft mission operations Familiarity with electrical & computer systems Familiarity with command and telemetry databases Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below: Primary Level Salary Range: $114,000.00 - $171,000.00 Secondary Level Salary Range: $142,200.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
Senior Software Engineer, Test About Tin Can Tin Can is building a safer, simpler way for kids to connect - without smartphones. We're creating screen-free, delightful devices and services that let families call the people who matter most, free from the noise of today's digital world. We're building a bold, authentic, nostalgic, and kinda quirky brand that resonates with folks who want something simpler & better for their kids than the tech-infused lives we're currently living (and who have a sense of humor about it). As we gear up to scale to thousands of families, we're ready to bring on an engineer to help make it happen. The Role When a kid picks up a Tin Can, the call has to work the first time, every time - whether that's a call to Grandma or a call to 911. That promise is only as good as our ability to prove it holds before a release goes out. We're looking for a Senior Software Engineer, Test to own that proof: the automated testing that verifies every call path works, on every change, before it reaches a kid's phone. You'll own our end-to-end and call-path test suites and the checks that gate a release. The surfaces are real: a staging environment where a change can place an actual SIP call before it merges; a Flutter app on iOS and Android; firmware on ESP32 devices; and a call-decision engine whose scenario suite you'll grow into our strongest safety net. You'll work alongside our voice, app, infrastructure and firmware engineers, and you'll be the person who defines what "tested" means here. What You'll Do Own our end-to-end and call-path test suites - the automated checks that tell engineers a change is safe to ship Build automated SIP test calls that run in staging before every merge - real calls verified for connection, audio, voicemail, and the call record afterward Guarantee emergency calling with continuous, safe verification, so we can show that every Tin Can reaches 911 Grow regression coverage across the paths families depend on most - voicemail, contact approval, missed calls - so every release protects them Automate the manual parts of our release process across mobile, backend, and firmware, so releases get faster and safer as the fleet grows Shape our CI/CD: what runs on every pull request, what gates a deploy, and what a failing check blocks Partner with firmware on repeatable release testing, and push on testability - device emulation, test hooks - so device behavior is verified automatically on every build Measure the suites themselves - coverage of the paths families use, signal engineers can trust, and defects caught before they ship What We're Looking For 5+ years in software engineering, with deep experience in test automation for production systems where a failure is something a customer feels immediately You've built end-to-end suites engineers actually trust - fast, deterministic, wired into CI, and rare enough to be believed when they go red Comfortable in the guts of a distributed system; you can follow a request across services, read the telemetry, and write a test that proves behavior rather than restating the code Fluency using AI as a multiplier across diagnosis, analysis, and testing; this is how we work, not a nice-to-have A clear communicator who writes things down, because a test suite nobody understands is a test suite nobody maintains Hands-on and scrappy; you'll build the harness, the fixtures, and the CI plumbing yourself, and you'd rather automate a test than run it twice A collaborative, low-ego approach - everyone here sweeps the floor Bonus: VoIP or telephony testing (SIP/RTP, sipp, synthetic call monitoring); mobile release testing across iOS and Android; or hardware-in-the-loop testing for embedded devices Why Join Tin Can We're building tech that protects childhood: We're on a quest to give kids a more analog childhood - one with real conversations, real connection, and way less screen time. No doomscrolling, data mining, or dopamine traps - just a simpler, better way for kids to stay in touch. This is a rare opportunity to build something that truly matters. You'll guarantee the call that matters most: Every Tin Can can dial 911, and you'll build the verification that proves it - then hold the same bar for every other call a family counts on, across the device, the app, and the call path. Small, high-trust team: Every company says "team," but at Tin Can it means something different. We're a small, mission-driven group that genuinely has each other's backs - professionally and personally. You'll be joining a tight-knit crew where your ideas and instincts matter from day one. Room to explore, not just execute: You'll have the space to explore new ideas, challenge assumptions, and build systems that reflect our values of trust, simplicity, and care. If you're excited by the idea of making every Tin Can release something families never have to think about - and building the tests and tooling that get us there - we'd love to meet you.
09/24/2026
Full time
Senior Software Engineer, Test About Tin Can Tin Can is building a safer, simpler way for kids to connect - without smartphones. We're creating screen-free, delightful devices and services that let families call the people who matter most, free from the noise of today's digital world. We're building a bold, authentic, nostalgic, and kinda quirky brand that resonates with folks who want something simpler & better for their kids than the tech-infused lives we're currently living (and who have a sense of humor about it). As we gear up to scale to thousands of families, we're ready to bring on an engineer to help make it happen. The Role When a kid picks up a Tin Can, the call has to work the first time, every time - whether that's a call to Grandma or a call to 911. That promise is only as good as our ability to prove it holds before a release goes out. We're looking for a Senior Software Engineer, Test to own that proof: the automated testing that verifies every call path works, on every change, before it reaches a kid's phone. You'll own our end-to-end and call-path test suites and the checks that gate a release. The surfaces are real: a staging environment where a change can place an actual SIP call before it merges; a Flutter app on iOS and Android; firmware on ESP32 devices; and a call-decision engine whose scenario suite you'll grow into our strongest safety net. You'll work alongside our voice, app, infrastructure and firmware engineers, and you'll be the person who defines what "tested" means here. What You'll Do Own our end-to-end and call-path test suites - the automated checks that tell engineers a change is safe to ship Build automated SIP test calls that run in staging before every merge - real calls verified for connection, audio, voicemail, and the call record afterward Guarantee emergency calling with continuous, safe verification, so we can show that every Tin Can reaches 911 Grow regression coverage across the paths families depend on most - voicemail, contact approval, missed calls - so every release protects them Automate the manual parts of our release process across mobile, backend, and firmware, so releases get faster and safer as the fleet grows Shape our CI/CD: what runs on every pull request, what gates a deploy, and what a failing check blocks Partner with firmware on repeatable release testing, and push on testability - device emulation, test hooks - so device behavior is verified automatically on every build Measure the suites themselves - coverage of the paths families use, signal engineers can trust, and defects caught before they ship What We're Looking For 5+ years in software engineering, with deep experience in test automation for production systems where a failure is something a customer feels immediately You've built end-to-end suites engineers actually trust - fast, deterministic, wired into CI, and rare enough to be believed when they go red Comfortable in the guts of a distributed system; you can follow a request across services, read the telemetry, and write a test that proves behavior rather than restating the code Fluency using AI as a multiplier across diagnosis, analysis, and testing; this is how we work, not a nice-to-have A clear communicator who writes things down, because a test suite nobody understands is a test suite nobody maintains Hands-on and scrappy; you'll build the harness, the fixtures, and the CI plumbing yourself, and you'd rather automate a test than run it twice A collaborative, low-ego approach - everyone here sweeps the floor Bonus: VoIP or telephony testing (SIP/RTP, sipp, synthetic call monitoring); mobile release testing across iOS and Android; or hardware-in-the-loop testing for embedded devices Why Join Tin Can We're building tech that protects childhood: We're on a quest to give kids a more analog childhood - one with real conversations, real connection, and way less screen time. No doomscrolling, data mining, or dopamine traps - just a simpler, better way for kids to stay in touch. This is a rare opportunity to build something that truly matters. You'll guarantee the call that matters most: Every Tin Can can dial 911, and you'll build the verification that proves it - then hold the same bar for every other call a family counts on, across the device, the app, and the call path. Small, high-trust team: Every company says "team," but at Tin Can it means something different. We're a small, mission-driven group that genuinely has each other's backs - professionally and personally. You'll be joining a tight-knit crew where your ideas and instincts matter from day one. Room to explore, not just execute: You'll have the space to explore new ideas, challenge assumptions, and build systems that reflect our values of trust, simplicity, and care. If you're excited by the idea of making every Tin Can release something families never have to think about - and building the tests and tooling that get us there - we'd love to meet you.
Key Responsibilities Key Responsibilities 1. Hybrid & Multi-Cloud Architecture Design • Architect and implement secure, enterprise-grade multi-cloud infrastructure across AWS and Azure (GCP is a plus), ensuring alignment with benchmarks and corporate security policies. • Adopt complex hybrid connectivity solutions to link on-premise and cloud based systems. • Establish scalable IAM hierarchies, cross-account trust relationships, and organizational units across multiple cloud tenants. 2. Infrastructure Resiliency & Disaster Recovery (DR) • Architect high-availability (HA) and disaster recovery topologies across disparate cloud providers to eliminate single points of failure (e.g., active-active cross-cloud replication). • Develop, document, and test automated failover mechanisms for critical enterprise workloads to ensure zero-downtime objectives. 3. Infrastructure as Code (IaC) & Automation • Define, build, and maintain the the IaC repository using automation platforms. • Implement secure CI/CD deployment pipelines (Jenkins, GitHub Actions) embedded with automated security guardrails and static analysis tools. 4. Technical Advisory & Collaboration • Serve as the primary subject matter expert (SME) on cloud infrastructure for the core Cyber Security team, translating security objectives into concrete cloud configurations. • Collaborate with traditional on-prem network and sysadmin teams to systematically migrate or extend legacy workloads to the cloud without disrupting active operations. Required Skills & Experience • Enterprise Scale: Minimum 8+ years of experience managing, architecture-designing, and deploying IT infrastructure within a Fortune 500 or equivalent large-scale enterprise. • Multi-Cloud Mastery: Deep, hands-on production experience with at least two major cloud vendors (AWS and Azure are highly preferred). You know their native networking, identity systems, and edge security controls inside out. • Networking: Strong foundational background in traditional on-premises networking (firewalls, load balancers, VLANs, proxies) and how those concepts map directly to cloud-native constructs (VPCs, VNets, Transit Gateways). • Automation-First Mindset: Advanced proficiency with automation toolsets. • Pragmatic Security Knowledge: While you don't need to be a penetration tester, you must thoroughly understand cloud security frameworks and modern identity protocols. • Scripting & Systems Proficiency: Strong proficiency with Python programming, Shell scripting, and Unix/Linux operating systems. Desired Certifications (While your hands-on experience matters most, we highly value the following credentials) • AWS Certified Solutions Architect - Professional / AWS Certified Security - Specialty • Microsoft Certified: Azure Solutions Architect Expert / Azure Security Engineer Associate • CCSP (Certified Cloud Security Professional) or equivalent infrastructure-focused certifications Preferred / Plus Qualifications Familiarity with Secure Email Gateway (SEG) products such as Proofpoint and Fortimail Familiarity with Exchange-Online security products such as Sublime security and Abnormal Email Security Experience with large scale email broadcast or bulk messaging platforms Exposure to compliance frameworks, audits, and regulatory examinations Experience integrating email platforms with monitoring, logging, and AIOps tooling Prior experience mentoring senior or mid level engineers Key Attributes Ability to work independently on complex, ambiguous problems Strong analytical and troubleshooting skills Excellent written and verbal communication skills Self driven learner with curiosity for modern tooling and AI assisted development Collaborative mindset with the ability to influence across teams and functions Why Join Us Work on mission critical, globally distributed email security platforms Solve complex security and compliance challenges at enterprise scale Collaborate with highly skilled engineers in a strong engineering culture Opportunity to shape the long term evolution of enterprise email security architecture Rate range-$60-$65
09/24/2026
Contractor
Key Responsibilities Key Responsibilities 1. Hybrid & Multi-Cloud Architecture Design • Architect and implement secure, enterprise-grade multi-cloud infrastructure across AWS and Azure (GCP is a plus), ensuring alignment with benchmarks and corporate security policies. • Adopt complex hybrid connectivity solutions to link on-premise and cloud based systems. • Establish scalable IAM hierarchies, cross-account trust relationships, and organizational units across multiple cloud tenants. 2. Infrastructure Resiliency & Disaster Recovery (DR) • Architect high-availability (HA) and disaster recovery topologies across disparate cloud providers to eliminate single points of failure (e.g., active-active cross-cloud replication). • Develop, document, and test automated failover mechanisms for critical enterprise workloads to ensure zero-downtime objectives. 3. Infrastructure as Code (IaC) & Automation • Define, build, and maintain the the IaC repository using automation platforms. • Implement secure CI/CD deployment pipelines (Jenkins, GitHub Actions) embedded with automated security guardrails and static analysis tools. 4. Technical Advisory & Collaboration • Serve as the primary subject matter expert (SME) on cloud infrastructure for the core Cyber Security team, translating security objectives into concrete cloud configurations. • Collaborate with traditional on-prem network and sysadmin teams to systematically migrate or extend legacy workloads to the cloud without disrupting active operations. Required Skills & Experience • Enterprise Scale: Minimum 8+ years of experience managing, architecture-designing, and deploying IT infrastructure within a Fortune 500 or equivalent large-scale enterprise. • Multi-Cloud Mastery: Deep, hands-on production experience with at least two major cloud vendors (AWS and Azure are highly preferred). You know their native networking, identity systems, and edge security controls inside out. • Networking: Strong foundational background in traditional on-premises networking (firewalls, load balancers, VLANs, proxies) and how those concepts map directly to cloud-native constructs (VPCs, VNets, Transit Gateways). • Automation-First Mindset: Advanced proficiency with automation toolsets. • Pragmatic Security Knowledge: While you don't need to be a penetration tester, you must thoroughly understand cloud security frameworks and modern identity protocols. • Scripting & Systems Proficiency: Strong proficiency with Python programming, Shell scripting, and Unix/Linux operating systems. Desired Certifications (While your hands-on experience matters most, we highly value the following credentials) • AWS Certified Solutions Architect - Professional / AWS Certified Security - Specialty • Microsoft Certified: Azure Solutions Architect Expert / Azure Security Engineer Associate • CCSP (Certified Cloud Security Professional) or equivalent infrastructure-focused certifications Preferred / Plus Qualifications Familiarity with Secure Email Gateway (SEG) products such as Proofpoint and Fortimail Familiarity with Exchange-Online security products such as Sublime security and Abnormal Email Security Experience with large scale email broadcast or bulk messaging platforms Exposure to compliance frameworks, audits, and regulatory examinations Experience integrating email platforms with monitoring, logging, and AIOps tooling Prior experience mentoring senior or mid level engineers Key Attributes Ability to work independently on complex, ambiguous problems Strong analytical and troubleshooting skills Excellent written and verbal communication skills Self driven learner with curiosity for modern tooling and AI assisted development Collaborative mindset with the ability to influence across teams and functions Why Join Us Work on mission critical, globally distributed email security platforms Solve complex security and compliance challenges at enterprise scale Collaborate with highly skilled engineers in a strong engineering culture Opportunity to shape the long term evolution of enterprise email security architecture Rate range-$60-$65
Date Posted: 2026-08-13 Country: United States of America Location: US-AZ-TUCSON-M E Hemisphere Loop BLDG M10 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required after day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. This is a Program direct-support position and requires a technical understanding of piece part electronic components and their assembly level applications. This candidate will transition into a key leadership position in the supporting program Obsolescence Integrated Product Team and will drive issue resolution for situations involving obsolescence. The selected candidate will perform and/or assist in the performance of Parts Engineering, Components Engineering or Applications Engineering tasks supporting programs in the Proposal, System Design Description, Low Rate Initial Production, Production and Support phases. Position will require day to day interface with Designers, Contracts, Estimating, Supply Chain, Program Management, and other disciplines. This position is an onsite role, located in Tucson, AZ. What You Will Do: Understand and/or generate a program statement of work (SOW) and other defined customer component application requirements. Develop and/or sustain a proactive Obsolescence Management process to deliver cost saving obsolescence mitigation strategies and solutions. Drive resolution through support or execution of lifetime buys, selections of alternate parts, redesign efforts or other mitigation strategies and will facilitate and support contract negotiations, basis of estimates, and supplier statements of work for proposal efforts. Interact with Program and customer leadership on a regular basis to communicate status of mitigation strategies. Conduct trade study analysis help identify cost effective obsolescence driven cut in points for proposed unit redesigns. Qualifications You Must Have: Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 5 years of prior relevant experience with any combination of the following: Experience with proactive and reactive component obsolescence management methodologies. Experience with data collection, analysis, and presentation skills to adequately discuss system impact of component obsolescence issues. Experience with project management working with schedules, costs, and integration of stakeholder needs throughout the obsolescence process. Financial and Contract Management experience with proposals, BOE, EVMs, SOWs, CLINs and CDRLs. Qualifications We Prefer: Master's Degree in Electrical Engineering or other related science or engineering discipline Ability to navigate multiple complex processes and tools. Understanding of the application of technical theories and concepts as they apply to electronic components and the parts management field. Ability to read and interpret engineering drawings and hierarchy definition. Knowledge of component failure modes by commodity Knowledge of Component MIL drawings, standards, test specifications, and associated QPLs and QMLs Knowledge of component selection, screening, qualification, and derating for use in military, and aerospace flight applications Knowledge of analog design and analysis, general knowledge of digital circuitry and interfaces Excellent communication skills to interface with other Integrated Product Team members, including Electrical Engineering, Mechanical Engineering, Supply Chain Management, Quality, Operations, and Supplier Engineering. Capable of supporting regular customer interactions including but not limited to leadership engagements, responding to proposal requests and contract negotiations. Outstanding organizational, presentation and technical skills. Ability to multi-task and appropriately prioritize responsibilities. Willingness to support occasional travel. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. This position offers relocation based on candidate eligibility. Learn More & Apply Now! This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
09/24/2026
Full time
Date Posted: 2026-08-13 Country: United States of America Location: US-AZ-TUCSON-M E Hemisphere Loop BLDG M10 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required after day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. This is a Program direct-support position and requires a technical understanding of piece part electronic components and their assembly level applications. This candidate will transition into a key leadership position in the supporting program Obsolescence Integrated Product Team and will drive issue resolution for situations involving obsolescence. The selected candidate will perform and/or assist in the performance of Parts Engineering, Components Engineering or Applications Engineering tasks supporting programs in the Proposal, System Design Description, Low Rate Initial Production, Production and Support phases. Position will require day to day interface with Designers, Contracts, Estimating, Supply Chain, Program Management, and other disciplines. This position is an onsite role, located in Tucson, AZ. What You Will Do: Understand and/or generate a program statement of work (SOW) and other defined customer component application requirements. Develop and/or sustain a proactive Obsolescence Management process to deliver cost saving obsolescence mitigation strategies and solutions. Drive resolution through support or execution of lifetime buys, selections of alternate parts, redesign efforts or other mitigation strategies and will facilitate and support contract negotiations, basis of estimates, and supplier statements of work for proposal efforts. Interact with Program and customer leadership on a regular basis to communicate status of mitigation strategies. Conduct trade study analysis help identify cost effective obsolescence driven cut in points for proposed unit redesigns. Qualifications You Must Have: Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 5 years of prior relevant experience with any combination of the following: Experience with proactive and reactive component obsolescence management methodologies. Experience with data collection, analysis, and presentation skills to adequately discuss system impact of component obsolescence issues. Experience with project management working with schedules, costs, and integration of stakeholder needs throughout the obsolescence process. Financial and Contract Management experience with proposals, BOE, EVMs, SOWs, CLINs and CDRLs. Qualifications We Prefer: Master's Degree in Electrical Engineering or other related science or engineering discipline Ability to navigate multiple complex processes and tools. Understanding of the application of technical theories and concepts as they apply to electronic components and the parts management field. Ability to read and interpret engineering drawings and hierarchy definition. Knowledge of component failure modes by commodity Knowledge of Component MIL drawings, standards, test specifications, and associated QPLs and QMLs Knowledge of component selection, screening, qualification, and derating for use in military, and aerospace flight applications Knowledge of analog design and analysis, general knowledge of digital circuitry and interfaces Excellent communication skills to interface with other Integrated Product Team members, including Electrical Engineering, Mechanical Engineering, Supply Chain Management, Quality, Operations, and Supplier Engineering. Capable of supporting regular customer interactions including but not limited to leadership engagements, responding to proposal requests and contract negotiations. Outstanding organizational, presentation and technical skills. Ability to multi-task and appropriately prioritize responsibilities. Willingness to support occasional travel. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. This position offers relocation based on candidate eligibility. Learn More & Apply Now! This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Date Posted: 2026-09-03 Country: United States of America Location: US-MA-TEWKSBURY-TB1 50 Apple Hill Dr ASSABET BLDG Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date Are you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the greatest minds in the industry? At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX. What You Will Do The Systems Engineering and Test Capabilities discipline seeks talented Systems Engineers. Our team, located in Tewksbury, MA & Woburn, MA, integrates hardware and software, develops test plans and procedures, debugs and evaluates system functions and interfaces, and verifies system requirements in support of final sell-off to the customer. We put our systems together, exercise them in the lab or in the field, measure and analyze performance, and make sure our products work the first time and every time. Every day is a different set of challenges to overcome. You'll be expected to collaborate across disciplines and partner to implement solutions. In this role, you'll get to know a little bit about every aspect of the system and have a direct hand in making it all work together supporting teams of engineers engaged in integration and test efforts. You will support elements of program development, engineering testing, integration, flight-testing, production, system deployment, and/or post deployment support across the product lifecycle. This position is an onsite role near Tewksbury, MA. Test event support activity may require travel which is not expected to exceed 20%. Support engineering activities related to testing and troubleshooting of hardware and software Functional analysis of real world and test data; trade studies to bring advanced features to fielded system Support troubleshooting and failure data analyses, including root cause and corrective action processes and advanced use of lab or field test equipment System integration and test support, possibly including live fire test events Support activity may require travel Complete and compile detailed performance evaluations, including the use of analysis tools, such as MATLAB Support qualification of our products Sustainment/Depot returns and repair Maintain engineering specifications (DS, ARD, etc.) & drawing (Schematics & Assembly Drawings) Prepare and present results in reports and briefings to internal or external stakeholders Maintain engineering databases Participate in periodic team meetings, interface teleconference meetings, working group meetings Qualifications You Must Have Master's degree in or related Science, Technology, Engineering or Mathematics (STEM) major obtained by start date. Experience with troubleshooting technical issues in an academic or internship setting, including the use of common commercial test equipment (oscilloscope, spectrum analyzer, etc.) Experience may be obtained through on-the-job experience, research, coursework, or projects Qualifications We Prefer Strong undergraduate level understanding of electrical, mechanical and/or software system integration, familiarity with C/C++/C# preferred Experience with or exposure to various military platforms such as ships, ground combat systems, fixed and rotary wing aircraft Experience with tools, such as MATLAB or Python scripting, for instrumentation and collection of large data sets, data analysis and automation Experience with electrical schematics, interface control documentation, and communications protocols What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
09/24/2026
Full time
Date Posted: 2026-09-03 Country: United States of America Location: US-MA-TEWKSBURY-TB1 50 Apple Hill Dr ASSABET BLDG Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date Are you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the greatest minds in the industry? At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX. What You Will Do The Systems Engineering and Test Capabilities discipline seeks talented Systems Engineers. Our team, located in Tewksbury, MA & Woburn, MA, integrates hardware and software, develops test plans and procedures, debugs and evaluates system functions and interfaces, and verifies system requirements in support of final sell-off to the customer. We put our systems together, exercise them in the lab or in the field, measure and analyze performance, and make sure our products work the first time and every time. Every day is a different set of challenges to overcome. You'll be expected to collaborate across disciplines and partner to implement solutions. In this role, you'll get to know a little bit about every aspect of the system and have a direct hand in making it all work together supporting teams of engineers engaged in integration and test efforts. You will support elements of program development, engineering testing, integration, flight-testing, production, system deployment, and/or post deployment support across the product lifecycle. This position is an onsite role near Tewksbury, MA. Test event support activity may require travel which is not expected to exceed 20%. Support engineering activities related to testing and troubleshooting of hardware and software Functional analysis of real world and test data; trade studies to bring advanced features to fielded system Support troubleshooting and failure data analyses, including root cause and corrective action processes and advanced use of lab or field test equipment System integration and test support, possibly including live fire test events Support activity may require travel Complete and compile detailed performance evaluations, including the use of analysis tools, such as MATLAB Support qualification of our products Sustainment/Depot returns and repair Maintain engineering specifications (DS, ARD, etc.) & drawing (Schematics & Assembly Drawings) Prepare and present results in reports and briefings to internal or external stakeholders Maintain engineering databases Participate in periodic team meetings, interface teleconference meetings, working group meetings Qualifications You Must Have Master's degree in or related Science, Technology, Engineering or Mathematics (STEM) major obtained by start date. Experience with troubleshooting technical issues in an academic or internship setting, including the use of common commercial test equipment (oscilloscope, spectrum analyzer, etc.) Experience may be obtained through on-the-job experience, research, coursework, or projects Qualifications We Prefer Strong undergraduate level understanding of electrical, mechanical and/or software system integration, familiarity with C/C++/C# preferred Experience with or exposure to various military platforms such as ships, ground combat systems, fixed and rotary wing aircraft Experience with tools, such as MATLAB or Python scripting, for instrumentation and collection of large data sets, data analysis and automation Experience with electrical schematics, interface control documentation, and communications protocols What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking a Software Developer / Engineer (Experienced or Senior) to join the Phantom Works Weapons team in St. Charles, MO (St. Louis Area). This team supports future weapons programs, including the Next Generation Cruise Missile program. This is an opportunity to contribute to high-impact work where interdisciplinary collaboration, systems thinking, and technical creativity come together to shape next-generation capabilities. This position requires an Active U.S. Secret Security Clearance with ability to obtain Top Secret & Special Program Access. Phantom Works is where imagination meets engineering excellence - a place where bold ideas are shaped to transform the future of defense. The Phantom Works Weapons team is focused on delivering innovative solutions quickly through prototyping, with an emphasis on safety, security, and reliability in demanding operational environments. In this role, you will work across multiple stakeholders and programs to help develop software solutions to complex challenges that require both ingenuity and disciplined execution. Our teams are currently hiring for a broad range of experience levels including Experienced and Senior Level Software Engineers. We are looking for someone who thrives in a collaborative environment, takes pride in customer satisfaction, and sees process improvement as part of delivering better outcomes. Success in this role requires comfort working across multiple contracts and programs, adaptability in evolving development environments, and a genuine interest in learning and applying new technologies. If you enjoy solving hard problems and want your work to help define what comes next, this team offers an opportunity to do exactly that. Find your Future with Us. Position Responsibilities: Designs, develops, tests, and maintains embedded software throughout the end-to-end lifecycle that meets industry, customer, safety, and regulation standards. Reviews, analyzes, and translates customer requirements into initial design of software products. Develops interface definitions Performs unit and integration testing Participates in peer reviews Supports software system integration and test Create software documentation Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Active Secret with ability to obtain Top Secret & Special Program Access 3+ years of experience in C++, Python, and C# 3+ years of experience with Linux development 3+ years of experience git or similar version control system 3+ years of experience in software architecture development and open architectures 3+ years with network architectures and software applications that communicate through TCP/UDP based networks Preferred Qualifications (Desired Skills/Experience): 5 or more years' related work experience or an equivalent combination of education and experience Experienced Level / Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 5+ years of related work experience OR Bachelor's Degree and 9+ years of directly related work experience OR 13+ years of related, relevant experience Senior Level / Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 9+ years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related, relevant experience Active Top Secret/SCI Knowledge of host environments, including processors, operating systems and networks. Ability to build, integrate and troubleshoot software components. Knowledge of software architecture and design methodologies. Ability to synthesize software architectures and designs that meet requirements, characteristics and constraints. Knowledge of software development processes in compliance with established internal and industry standards, guidelines, and best practices in the development, testing, and deployment of software. Knowledge of general and software development and testing tools, capability and usage. Examples include compilers, linkers, debuggers, data analysis tools, graphical user interface builders, post processing tools, requirements management tools, and web authoring tools. Knowledge of domains, characteristics, constraints and products that require software and influence architecture, requirements, interfaces, designs, and integration/test approaches. Domain examples include data processing, ground support, tools and analysis models. Examples of characteristics and constraints that impact software include operating systems, fidelity and information processing capacity. Examples of products include aircraft, missiles, airborne/shipboard/space systems/ground-based support systems. Knowledge of implementation, validation, and verification processes, practices, and guidelines to ensure software development quality, performance, and safety. Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Travel: Occasional travel may be required (less than 10%) Relocation: This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Experienced Level: $126,650 -$171,350 Summary Pay Range for Senior Level: $160,650 - $217,350 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Oct. 08, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
09/24/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking a Software Developer / Engineer (Experienced or Senior) to join the Phantom Works Weapons team in St. Charles, MO (St. Louis Area). This team supports future weapons programs, including the Next Generation Cruise Missile program. This is an opportunity to contribute to high-impact work where interdisciplinary collaboration, systems thinking, and technical creativity come together to shape next-generation capabilities. This position requires an Active U.S. Secret Security Clearance with ability to obtain Top Secret & Special Program Access. Phantom Works is where imagination meets engineering excellence - a place where bold ideas are shaped to transform the future of defense. The Phantom Works Weapons team is focused on delivering innovative solutions quickly through prototyping, with an emphasis on safety, security, and reliability in demanding operational environments. In this role, you will work across multiple stakeholders and programs to help develop software solutions to complex challenges that require both ingenuity and disciplined execution. Our teams are currently hiring for a broad range of experience levels including Experienced and Senior Level Software Engineers. We are looking for someone who thrives in a collaborative environment, takes pride in customer satisfaction, and sees process improvement as part of delivering better outcomes. Success in this role requires comfort working across multiple contracts and programs, adaptability in evolving development environments, and a genuine interest in learning and applying new technologies. If you enjoy solving hard problems and want your work to help define what comes next, this team offers an opportunity to do exactly that. Find your Future with Us. Position Responsibilities: Designs, develops, tests, and maintains embedded software throughout the end-to-end lifecycle that meets industry, customer, safety, and regulation standards. Reviews, analyzes, and translates customer requirements into initial design of software products. Develops interface definitions Performs unit and integration testing Participates in peer reviews Supports software system integration and test Create software documentation Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Active Secret with ability to obtain Top Secret & Special Program Access 3+ years of experience in C++, Python, and C# 3+ years of experience with Linux development 3+ years of experience git or similar version control system 3+ years of experience in software architecture development and open architectures 3+ years with network architectures and software applications that communicate through TCP/UDP based networks Preferred Qualifications (Desired Skills/Experience): 5 or more years' related work experience or an equivalent combination of education and experience Experienced Level / Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 5+ years of related work experience OR Bachelor's Degree and 9+ years of directly related work experience OR 13+ years of related, relevant experience Senior Level / Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 9+ years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related, relevant experience Active Top Secret/SCI Knowledge of host environments, including processors, operating systems and networks. Ability to build, integrate and troubleshoot software components. Knowledge of software architecture and design methodologies. Ability to synthesize software architectures and designs that meet requirements, characteristics and constraints. Knowledge of software development processes in compliance with established internal and industry standards, guidelines, and best practices in the development, testing, and deployment of software. Knowledge of general and software development and testing tools, capability and usage. Examples include compilers, linkers, debuggers, data analysis tools, graphical user interface builders, post processing tools, requirements management tools, and web authoring tools. Knowledge of domains, characteristics, constraints and products that require software and influence architecture, requirements, interfaces, designs, and integration/test approaches. Domain examples include data processing, ground support, tools and analysis models. Examples of characteristics and constraints that impact software include operating systems, fidelity and information processing capacity. Examples of products include aircraft, missiles, airborne/shipboard/space systems/ground-based support systems. Knowledge of implementation, validation, and verification processes, practices, and guidelines to ensure software development quality, performance, and safety. Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Travel: Occasional travel may be required (less than 10%) Relocation: This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Experienced Level: $126,650 -$171,350 Summary Pay Range for Senior Level: $160,650 - $217,350 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Oct. 08, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for an Application Software Engineer (Experience or Senior) to join the Phantom Works Open Architecture Systems Integrated Software (OASIS) Solutions team located in Berkeley, MO. This position will focus on supporting the Boeing Defense, Space & Security (BDS) Software Engineering organization. Phantom Works is where imagination meets engineering excellence - a place where bold ideas are shaped to transform the future of defense. Driven by curiosity and relentless problem-solving, our team pushes boundaries across aerospace, autonomy, emerging technologies and advanced materials to create breakthrough capabilities that keep people and warfighters safe, and missions successful. With a culture of collaboration, integrity, and rigorous testing, Phantom Works transforms daring concepts into trusted, operational solutions that inspire confidence and expand what's possible in the skies and beyond. The selected team member will enjoy working collaboratively with others, has commitment to customer satisfaction and process improvement, and is successful working in a multi-contract/multi-program environment. The Application Software Engineer will support the development of solutions to a wide range of complex problems that require ingenuity and innovation. The ideal candidate should be adaptable to new development environments and eager to work with and learn new technologies. Position Responsibilities: Designs, develops, tests, and maintains embedded software throughout the end-to-end lifecycle that meets industry, customer, safety, and regulation standards. Reviews, analyzes, and translates customer requirements into initial design of software products. Develops interface definitions Performs unit and integration testing Participates in peer reviews Supports software system integration and test Create software documentation Basic Qualifications: (Required Skills/ Experience) Bachelor's Degree Active Secret with ability to obtain Top Secret & Special Program Access 3+ years of experience in C++ and C# 3+ years of experience with Linux development 3+ years of experience git or similar version control system 3+ years of experience in software architecture development and open architectures 3+ years with network architectures and software application that communicate through TCP/UDP based networks Preferred Qualifications: (Desired Skills/Experience) 5 or more years' related work experience or an equivalent combination of education and experience Experienced Level / Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 5+ years of related work experience OR Bachelor's Degree and 9+ years of directly related work experience OR 13+ years of related, relevant experience. Senior Level / Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 9+ years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related, relevant experience. Knowledge of host environments, including processors, operating systems and networks. Ability to build, integrate and troubleshoot software components. Knowledge of software architecture and design methodologies. Ability to synthesize software architectures and designs that meet requirements, characteristics and constraints. Knowledge of software development processes in compliance with established internal and industry standards, guidelines, and best practices in the development, testing, and deployment of software. Knowledge of general and software development and testing tools, capability and usage. Examples include compilers, linkers, debuggers, data analysis tools, graphical user interface builders, post processing tools, requirements management tools, and web authoring tools. Knowledge of domains, characteristics, constraints and products that require software and influence architecture, requirements, interfaces, designs, and integration/test approaches. Domain examples include data processing, ground support, tools and analysis models. Examples of characteristics and constraints that impact software include operating systems, fidelity and information processing capacity. Examples of products include aircraft, missiles, airborne/shipboard/space systems/ground-based support systems. Knowledge of implementation, validation, and verification processes, practices, and guidelines to ensure software development quality, performance, and safety. Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Travel: Occasional travel may be required (less than 10%) Relocation: This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Experienced level: $126,650 - $171,350 Summary Pay Range for Senior level: $160,650 - $217,350 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Oct. 08, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
09/24/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for an Application Software Engineer (Experience or Senior) to join the Phantom Works Open Architecture Systems Integrated Software (OASIS) Solutions team located in Berkeley, MO. This position will focus on supporting the Boeing Defense, Space & Security (BDS) Software Engineering organization. Phantom Works is where imagination meets engineering excellence - a place where bold ideas are shaped to transform the future of defense. Driven by curiosity and relentless problem-solving, our team pushes boundaries across aerospace, autonomy, emerging technologies and advanced materials to create breakthrough capabilities that keep people and warfighters safe, and missions successful. With a culture of collaboration, integrity, and rigorous testing, Phantom Works transforms daring concepts into trusted, operational solutions that inspire confidence and expand what's possible in the skies and beyond. The selected team member will enjoy working collaboratively with others, has commitment to customer satisfaction and process improvement, and is successful working in a multi-contract/multi-program environment. The Application Software Engineer will support the development of solutions to a wide range of complex problems that require ingenuity and innovation. The ideal candidate should be adaptable to new development environments and eager to work with and learn new technologies. Position Responsibilities: Designs, develops, tests, and maintains embedded software throughout the end-to-end lifecycle that meets industry, customer, safety, and regulation standards. Reviews, analyzes, and translates customer requirements into initial design of software products. Develops interface definitions Performs unit and integration testing Participates in peer reviews Supports software system integration and test Create software documentation Basic Qualifications: (Required Skills/ Experience) Bachelor's Degree Active Secret with ability to obtain Top Secret & Special Program Access 3+ years of experience in C++ and C# 3+ years of experience with Linux development 3+ years of experience git or similar version control system 3+ years of experience in software architecture development and open architectures 3+ years with network architectures and software application that communicate through TCP/UDP based networks Preferred Qualifications: (Desired Skills/Experience) 5 or more years' related work experience or an equivalent combination of education and experience Experienced Level / Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 5+ years of related work experience OR Bachelor's Degree and 9+ years of directly related work experience OR 13+ years of related, relevant experience. Senior Level / Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 9+ years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related, relevant experience. Knowledge of host environments, including processors, operating systems and networks. Ability to build, integrate and troubleshoot software components. Knowledge of software architecture and design methodologies. Ability to synthesize software architectures and designs that meet requirements, characteristics and constraints. Knowledge of software development processes in compliance with established internal and industry standards, guidelines, and best practices in the development, testing, and deployment of software. Knowledge of general and software development and testing tools, capability and usage. Examples include compilers, linkers, debuggers, data analysis tools, graphical user interface builders, post processing tools, requirements management tools, and web authoring tools. Knowledge of domains, characteristics, constraints and products that require software and influence architecture, requirements, interfaces, designs, and integration/test approaches. Domain examples include data processing, ground support, tools and analysis models. Examples of characteristics and constraints that impact software include operating systems, fidelity and information processing capacity. Examples of products include aircraft, missiles, airborne/shipboard/space systems/ground-based support systems. Knowledge of implementation, validation, and verification processes, practices, and guidelines to ensure software development quality, performance, and safety. Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Travel: Occasional travel may be required (less than 10%) Relocation: This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Experienced level: $126,650 - $171,350 Summary Pay Range for Senior level: $160,650 - $217,350 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Oct. 08, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Who We Are Hi, we're DuckDuckGo, the online protection company and remote-first team of 300+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, annual revenue now exceeds $100m USD and millions use our browser on on Mac, Windows, iOS, and Android, our search engine, and the DuckDuckGo subscription. We also offer private, useful, and optional AI, including Duck.ai, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place. Our culture of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place! Your Team and Role Working on the Site Reliability Team, you'll help build and maintain world-class infrastructure to meet the needs of millions of users protecting their privacy online. You'll utilize high-level languages like Perl, Go, TypeScript, or Python and work on related projects. Recent projects include: Ensuring our Duck.ai product meets our reliability standards and minimizing user friction on failures Scaling up our own index infrastructure to handle billions of documents Create anti fraud verifications that respect users privacy As Director, Site Reliability Engineering, you'll dive deep into complex operational challenges, including software, systems, automation, and process analysis. We are looking for candidates who can read, write, troubleshoot, and deploy all types of software to help us tackle the reliability challenges of large-scale deployments. About You 10+ years relevant professional experience in reliability, platform, infrastructure, or software engineering, including 4+ years leading SRE teams. Experience participating in a 24x7 on-call rotation for a large-scale deployment. Ability to lead and collaborate on high-impact and complex projects from proposal through postmortem. Proficient in AI-driven development, including designing and implementing agentic workflows Skills to wrangle vague problems, propose innovative solutions, and execute them with a strong focus on metrics. Experience developing effective tools, services, alerts, and responses to identify and address reliability risks. Investigative abilityto root-cause sources of instability in high-traffic, distributed systems. Deep experience administering and troubleshooting Linux and web technologies. Ability to implement automation around infrastructure provisioning and configuration management to prioritize efficiency, scalability, and reliability. Foresight to help identify the future technical direction of our deployment with the goal of improving reliability and performance. Advanced programming skills enabling close partnership with software engineers to triage production issues and identify appropriate remediation, including code changes and performance considerations. Ability to leverage cloud-native services and architectures to enhance reliability and scalability, with hands-on experience packaging and deploying applications using Docker and Docker Compose. Compensation $243,800 USD annually and stock options. Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation. Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK. Our Team Member Support Guide explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances. Hiring Process Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire. Diversity, Equity and Inclusion DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to to let us know the nature of your request. Please note that: You'll be required to attend meetings on camera via video conferencing Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend. While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week. A successful candidate must pass a background check as a condition of joining the team. By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work. Disclosure Statement: Use of AI in Hiring Process As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants' experience, interviews, and project performance, and help streamline our selection process. Key Principles: Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy. We ensure that your personal information is protected and used solely for recruitment purposes. Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors. Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us. By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at . Thank you for your interest in joining DuckDuckGo!
09/24/2026
Full time
Who We Are Hi, we're DuckDuckGo, the online protection company and remote-first team of 300+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, annual revenue now exceeds $100m USD and millions use our browser on on Mac, Windows, iOS, and Android, our search engine, and the DuckDuckGo subscription. We also offer private, useful, and optional AI, including Duck.ai, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place. Our culture of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place! Your Team and Role Working on the Site Reliability Team, you'll help build and maintain world-class infrastructure to meet the needs of millions of users protecting their privacy online. You'll utilize high-level languages like Perl, Go, TypeScript, or Python and work on related projects. Recent projects include: Ensuring our Duck.ai product meets our reliability standards and minimizing user friction on failures Scaling up our own index infrastructure to handle billions of documents Create anti fraud verifications that respect users privacy As Director, Site Reliability Engineering, you'll dive deep into complex operational challenges, including software, systems, automation, and process analysis. We are looking for candidates who can read, write, troubleshoot, and deploy all types of software to help us tackle the reliability challenges of large-scale deployments. About You 10+ years relevant professional experience in reliability, platform, infrastructure, or software engineering, including 4+ years leading SRE teams. Experience participating in a 24x7 on-call rotation for a large-scale deployment. Ability to lead and collaborate on high-impact and complex projects from proposal through postmortem. Proficient in AI-driven development, including designing and implementing agentic workflows Skills to wrangle vague problems, propose innovative solutions, and execute them with a strong focus on metrics. Experience developing effective tools, services, alerts, and responses to identify and address reliability risks. Investigative abilityto root-cause sources of instability in high-traffic, distributed systems. Deep experience administering and troubleshooting Linux and web technologies. Ability to implement automation around infrastructure provisioning and configuration management to prioritize efficiency, scalability, and reliability. Foresight to help identify the future technical direction of our deployment with the goal of improving reliability and performance. Advanced programming skills enabling close partnership with software engineers to triage production issues and identify appropriate remediation, including code changes and performance considerations. Ability to leverage cloud-native services and architectures to enhance reliability and scalability, with hands-on experience packaging and deploying applications using Docker and Docker Compose. Compensation $243,800 USD annually and stock options. Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation. Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK. Our Team Member Support Guide explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances. Hiring Process Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire. Diversity, Equity and Inclusion DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to to let us know the nature of your request. Please note that: You'll be required to attend meetings on camera via video conferencing Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend. While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week. A successful candidate must pass a background check as a condition of joining the team. By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work. Disclosure Statement: Use of AI in Hiring Process As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants' experience, interviews, and project performance, and help streamline our selection process. Key Principles: Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy. We ensure that your personal information is protected and used solely for recruitment purposes. Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors. Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us. By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at . Thank you for your interest in joining DuckDuckGo!
Compute & GPU Provisioning: Experience with BIOS/UEFI, BMC/SMM, Redfish, PLDM, TPM, virtual media, firmware installation and upgrades, and hardware lifecycle management. CPU/GPU & Hardware Systems: Knowledge of CPU/GPU architectures, PCIe, DMA, NICs, NVMe, device enumeration, hardware bring-up, burn-in validation, and firmware debugging. Bare-Metal & OS Provisioning: Experience with PXE/iPXE, DHCP/DNS, Linux networking, OS imaging, and secure fleet-scale provisioning and automation. Leads development and begins architecting scalable, container-based services that build, validate, and monitor liquid-cooled GPU infrastructure across factory environments. Develops secure infrastructure, control-plane workflows, and data-plane test capabilities that orchestrate manufacturing test lifecycles, operator workflows, quality gates, fleet status, and business reporting for platforms including GB200, GB300, VR, MI355, and MI455. Automates and maintains GPU test validation; manages consistent firmware, software, and hardware configuration; and develops repair and triage capabilities that identify root causes and guide recovery. Partners with Supply Chain Operations, Hardware Development, external manufacturing partners, data-center operations, NVIDIA, and AMD to resolve issues before racks ship. Establishes manufacturing yield, throughput, quality, and deployment-readiness metrics that reduce rework and downstream failures, improve data-center ingestion, and accelerate reliable hyperscale AI infrastructure delivery. Responsibilities Responsibilities Lead the design, implementation, and ongoing evolution of core distributed systems and data-plane services at hyperscale. Define scalability, elasticity, durability, and availability requirements for owned components and ensure designs meet them. Optimize high-throughput data paths for large-scale retrieval, storage, and processing using distributed state, replication, and synchronization patterns. Design fault-tolerant systems that support in-service updates through redundancy, automatic failover, and recovery-oriented design. Apply sound distributed-systems tradeoffs for network partitions and reliability, including load shedding, throttling, rate limiting, retries, and timeouts. Establish service-level objectives, key performance indicators, telemetry, dashboards, and proactive alerting for critical systems. Design and lead performance, load, fault-injection, and brownout testing to validate correctness, resilience, and operational readiness. Lead production incident diagnosis and recovery, guide root-cause analysis, and mentor engineers in operational excellence. Build and improve Infrastructure as Code and operational automation that enable safe patching, updates, rollbacks, and change management. Apply robust security controls and remediation practices for multi-tenant cloud infrastructure, including encryption, access controls, and compliance readiness. Qualifications Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience. 7+ years of professional software-engineering experience, with demonstrated impact on large-scale distributed systems or cloud infrastructure. Strong experience designing and operating highly available, scalable, fault-tolerant distributed systems. Proficiency in one or more object-oriented or systems programming languages, such as Java, C++, C#, or Go. Deep understanding of distributed-systems design, data structures, algorithms, operating systems, networking, and secure software-development practices. Experience with system-level test automation, performance/load testing, reliability engineering, and production incident response. Demonstrated experience leading or influencing technical architecture and mentoring engineers. Strong problem-solving, communication, and cross-functional collaboration skills. Preferred Qualifications Experience with Oracle Cloud, AWS, Azure, Google Cloud, or other large-scale cloud platforms. Experience with data-plane platforms, distributed storage, microservices, replication, state management, or high-throughput data processing. Experience defining SLOs, building observability systems, and operating services in a 24x7 production environment. Experience with Infrastructure as Code, service automation, security controls, and compliance requirements for cloud infrastructure. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
09/24/2026
Full time
Compute & GPU Provisioning: Experience with BIOS/UEFI, BMC/SMM, Redfish, PLDM, TPM, virtual media, firmware installation and upgrades, and hardware lifecycle management. CPU/GPU & Hardware Systems: Knowledge of CPU/GPU architectures, PCIe, DMA, NICs, NVMe, device enumeration, hardware bring-up, burn-in validation, and firmware debugging. Bare-Metal & OS Provisioning: Experience with PXE/iPXE, DHCP/DNS, Linux networking, OS imaging, and secure fleet-scale provisioning and automation. Leads development and begins architecting scalable, container-based services that build, validate, and monitor liquid-cooled GPU infrastructure across factory environments. Develops secure infrastructure, control-plane workflows, and data-plane test capabilities that orchestrate manufacturing test lifecycles, operator workflows, quality gates, fleet status, and business reporting for platforms including GB200, GB300, VR, MI355, and MI455. Automates and maintains GPU test validation; manages consistent firmware, software, and hardware configuration; and develops repair and triage capabilities that identify root causes and guide recovery. Partners with Supply Chain Operations, Hardware Development, external manufacturing partners, data-center operations, NVIDIA, and AMD to resolve issues before racks ship. Establishes manufacturing yield, throughput, quality, and deployment-readiness metrics that reduce rework and downstream failures, improve data-center ingestion, and accelerate reliable hyperscale AI infrastructure delivery. Responsibilities Responsibilities Lead the design, implementation, and ongoing evolution of core distributed systems and data-plane services at hyperscale. Define scalability, elasticity, durability, and availability requirements for owned components and ensure designs meet them. Optimize high-throughput data paths for large-scale retrieval, storage, and processing using distributed state, replication, and synchronization patterns. Design fault-tolerant systems that support in-service updates through redundancy, automatic failover, and recovery-oriented design. Apply sound distributed-systems tradeoffs for network partitions and reliability, including load shedding, throttling, rate limiting, retries, and timeouts. Establish service-level objectives, key performance indicators, telemetry, dashboards, and proactive alerting for critical systems. Design and lead performance, load, fault-injection, and brownout testing to validate correctness, resilience, and operational readiness. Lead production incident diagnosis and recovery, guide root-cause analysis, and mentor engineers in operational excellence. Build and improve Infrastructure as Code and operational automation that enable safe patching, updates, rollbacks, and change management. Apply robust security controls and remediation practices for multi-tenant cloud infrastructure, including encryption, access controls, and compliance readiness. Qualifications Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience. 7+ years of professional software-engineering experience, with demonstrated impact on large-scale distributed systems or cloud infrastructure. Strong experience designing and operating highly available, scalable, fault-tolerant distributed systems. Proficiency in one or more object-oriented or systems programming languages, such as Java, C++, C#, or Go. Deep understanding of distributed-systems design, data structures, algorithms, operating systems, networking, and secure software-development practices. Experience with system-level test automation, performance/load testing, reliability engineering, and production incident response. Demonstrated experience leading or influencing technical architecture and mentoring engineers. Strong problem-solving, communication, and cross-functional collaboration skills. Preferred Qualifications Experience with Oracle Cloud, AWS, Azure, Google Cloud, or other large-scale cloud platforms. Experience with data-plane platforms, distributed storage, microservices, replication, state management, or high-throughput data processing. Experience defining SLOs, building observability systems, and operating services in a 24x7 production environment. Experience with Infrastructure as Code, service automation, security controls, and compliance requirements for cloud infrastructure. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
Company Description WHO WE ARE Velotic is a newly formed independent software company with a pure-play focus on industrial operations. We unite two category-defining portfolios ThingWorx and Kepware (formerly part of PTC) and Proficy (formerly part of GE Vernova) to transform industrial manufacturing, at scale. With $350M in annual revenue, a global footprint across a range of industries, a legacy customer base, and our intelligent data connectivity systems and AI solutions, we are one of the world's largest independent software companies focused on industrial operations here to power the future of manufacturing. OUR MISSION Enabling the world's industrial producers to do the right things right-across every shift, every plant, every day. We help manufacturers prosper by equipping them with software-defined, data-driven production systems that elevate quality, accelerate cycle times, improve resilience, and enable sustainable profit growth. Job Description WHY THIS IS A ONCE-IN-A-CAREER OPPORTUNITY Lead in a market undergoing significant disruption and growth from cloud migration to edge intelligence to AI-powered industrial automation. Join a culture defined by ambition, authenticity, speed, teamwork, and the belief that manufacturing can meaningfully improve the world. Competitive benefits, compensation and long-term impact on how the world's industrial companies operate, automate, and innovate. ROLE SUMMARY We are seeking a highly skilled and motivated Senior Quality Assurance Engineer to lead our quality initiatives and ensure the delivery of high-performing, reliable software. As a key member of our engineering team, you will not only design and execute complex testing strategies but also act as a mentor, process advocate, and architectural advisor. You will be instrumental in evolving our automated testing frameworks and fostering a "quality-first" culture across the entire development lifecycle. KEY RESPONSIBILITIES 1. Strategy and Test Architecture Test Planning: Designing comprehensive test strategies for complex features, ensuring full coverage across unit, integration, system, and regression testing. Automation Framework Development: Designing and maintaining robust automation frameworks from scratch, selecting the right tools (e.g., Playwright, FlaUI, Protractor, RestAssured, Selenium, Playwright etc) that align with the company's tech stack. CI/CD Integration: Working on the DevOps tasks to integrate automated testing into the Continuous Integration/Continuous Deployment pipelines to ensure "quality at speed." Test lab management: Upkeep of all the test environments (on premise and cloud). Managing the security patching on the test deployments. 2. Technical Execution Risk Analysis: Performing deep-dive risk assessments to identify which parts of the application are most prone to failure and prioritizing testing efforts accordingly. Performance and Security Testing: Moving beyond functional testing to oversee or perform non-functional testing, including load testing, stress testing, and basic security vulnerability assessment. Root Cause Analysis: Investigating complex production issues to understand why bugs escaped the testing cycle and implementing safeguards to prevent recurrence. 3. Leadership and Mentorship Mentoring: Coaching junior engineers on best practices, code quality, and testing methodologies. Process Improvement: Identifying bottlenecks in the software development lifecycle (SDLC) and proposing process improvements (such as shifting left - testing earlier in the development cycle). Advocacy: Acting as a "Quality Champion" within the organization, promoting a culture where quality is a shared responsibility among developers, product managers, and designers. 4. Collaboration and Communication Requirement Analysis: Participating in design and architecture meetings early in the process to identify logical flaws or edge cases before code is even written. Stakeholder Reporting: Translating technical quality metrics (e.g., defect density, test coverage, pass/fail rates) into actionable insights for product managers and stakeholders. Qualifications REQUIRED QUALIFICATIONS Programming Skills: Proficiency in at least one object-oriented language (e.g., Python, JavaScript/TypeScript) to build and maintain complex automation frameworks. Automation Frameworks: Expertise in industry-standard tools. Experience developing automated tests for Windows based applications is highly preferred. Web: Selenium, Playwright, or FlaUI. API: Postman, REST Assured, or PyTest. CI/CD Knowledge: Practical experience with pipelines (e.g., Jenkins, GitHub Actions, GitLab CI). Infrastructure & Cloud: Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes) to simulate production-like testing environments. Metrics-Driven Mindset: Experience defining and tracking KPIs such as Mean Time to Detect (MTTD), Mean Time to Resolve (MTTR), and defect leakage rates to demonstrate the ROI of the QA team. Agile/Scrum Experience: Strong background working in iterative environments, including participation in sprint planning, grooming, and retrospectives. Industrial Automation Domain: Experience with SCADA (Supervisory Control and Data Acquisition) application and PLC devices REQUIRED. Education & Experience • Bachelor's degree in computer science or in "STEM" Majors (Science, Technology, Engineering and Math) • A minimum of 6 years of professional experience WORK ENVIRONMENT • Hybrid • No travel needs. Position Type: Exempt Compensation: USD 90000 - USD 110000 - yearly
09/24/2026
Full time
Company Description WHO WE ARE Velotic is a newly formed independent software company with a pure-play focus on industrial operations. We unite two category-defining portfolios ThingWorx and Kepware (formerly part of PTC) and Proficy (formerly part of GE Vernova) to transform industrial manufacturing, at scale. With $350M in annual revenue, a global footprint across a range of industries, a legacy customer base, and our intelligent data connectivity systems and AI solutions, we are one of the world's largest independent software companies focused on industrial operations here to power the future of manufacturing. OUR MISSION Enabling the world's industrial producers to do the right things right-across every shift, every plant, every day. We help manufacturers prosper by equipping them with software-defined, data-driven production systems that elevate quality, accelerate cycle times, improve resilience, and enable sustainable profit growth. Job Description WHY THIS IS A ONCE-IN-A-CAREER OPPORTUNITY Lead in a market undergoing significant disruption and growth from cloud migration to edge intelligence to AI-powered industrial automation. Join a culture defined by ambition, authenticity, speed, teamwork, and the belief that manufacturing can meaningfully improve the world. Competitive benefits, compensation and long-term impact on how the world's industrial companies operate, automate, and innovate. ROLE SUMMARY We are seeking a highly skilled and motivated Senior Quality Assurance Engineer to lead our quality initiatives and ensure the delivery of high-performing, reliable software. As a key member of our engineering team, you will not only design and execute complex testing strategies but also act as a mentor, process advocate, and architectural advisor. You will be instrumental in evolving our automated testing frameworks and fostering a "quality-first" culture across the entire development lifecycle. KEY RESPONSIBILITIES 1. Strategy and Test Architecture Test Planning: Designing comprehensive test strategies for complex features, ensuring full coverage across unit, integration, system, and regression testing. Automation Framework Development: Designing and maintaining robust automation frameworks from scratch, selecting the right tools (e.g., Playwright, FlaUI, Protractor, RestAssured, Selenium, Playwright etc) that align with the company's tech stack. CI/CD Integration: Working on the DevOps tasks to integrate automated testing into the Continuous Integration/Continuous Deployment pipelines to ensure "quality at speed." Test lab management: Upkeep of all the test environments (on premise and cloud). Managing the security patching on the test deployments. 2. Technical Execution Risk Analysis: Performing deep-dive risk assessments to identify which parts of the application are most prone to failure and prioritizing testing efforts accordingly. Performance and Security Testing: Moving beyond functional testing to oversee or perform non-functional testing, including load testing, stress testing, and basic security vulnerability assessment. Root Cause Analysis: Investigating complex production issues to understand why bugs escaped the testing cycle and implementing safeguards to prevent recurrence. 3. Leadership and Mentorship Mentoring: Coaching junior engineers on best practices, code quality, and testing methodologies. Process Improvement: Identifying bottlenecks in the software development lifecycle (SDLC) and proposing process improvements (such as shifting left - testing earlier in the development cycle). Advocacy: Acting as a "Quality Champion" within the organization, promoting a culture where quality is a shared responsibility among developers, product managers, and designers. 4. Collaboration and Communication Requirement Analysis: Participating in design and architecture meetings early in the process to identify logical flaws or edge cases before code is even written. Stakeholder Reporting: Translating technical quality metrics (e.g., defect density, test coverage, pass/fail rates) into actionable insights for product managers and stakeholders. Qualifications REQUIRED QUALIFICATIONS Programming Skills: Proficiency in at least one object-oriented language (e.g., Python, JavaScript/TypeScript) to build and maintain complex automation frameworks. Automation Frameworks: Expertise in industry-standard tools. Experience developing automated tests for Windows based applications is highly preferred. Web: Selenium, Playwright, or FlaUI. API: Postman, REST Assured, or PyTest. CI/CD Knowledge: Practical experience with pipelines (e.g., Jenkins, GitHub Actions, GitLab CI). Infrastructure & Cloud: Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes) to simulate production-like testing environments. Metrics-Driven Mindset: Experience defining and tracking KPIs such as Mean Time to Detect (MTTD), Mean Time to Resolve (MTTR), and defect leakage rates to demonstrate the ROI of the QA team. Agile/Scrum Experience: Strong background working in iterative environments, including participation in sprint planning, grooming, and retrospectives. Industrial Automation Domain: Experience with SCADA (Supervisory Control and Data Acquisition) application and PLC devices REQUIRED. Education & Experience • Bachelor's degree in computer science or in "STEM" Majors (Science, Technology, Engineering and Math) • A minimum of 6 years of professional experience WORK ENVIRONMENT • Hybrid • No travel needs. Position Type: Exempt Compensation: USD 90000 - USD 110000 - yearly
Autonomous vehicles have some of the largest, most complex software ever shipped in a safety-critical environment. Solving that problem is one of the most exciting technical challenges of our lifetime. As a Systems Test Engineer on our System Behavior Analysis Autonomous team, you will play a critical role in the development of Zoox's autonomous platform, working with a broad set of engineering teams across Zoox. You will help triage and root cause the issues identified during testing and real-world operations. You will also produce reports and insights that inform leadership on the overall quality and influence of engineering decisions. Your ability to distill complex systems and root cause issues will be crucial to producing a safe and stable vehicle platform. In this role, you will: Utilize data analytics to analyze and diagnose a wide range of system faults and errors related to perception, planner, and other AI software from both on-road testing and system simulations. Effectively categorize and prioritize issues based on severity, urgency, and potential impact on safety and performance by working collaboratively with cross-functional teams (engineering, software, testing). Identify trends in system failures and propose preventative measures to improve overall system safety and robustness by producing clear and concise reports of system issues, troubleshooting steps, and root cause analysis. Be hands-on, lead by example, and develop tools and workflows to drive improvements for both quality and quantity aspects of the triage. Demonstrate operational agility by quickly adapting to changing priorities, managing multiple tasks simultaneously, and implementing effective solutions in dynamic environments. Qualifications Bachelor's or Masters degree in Computer Science or STEM-related field Minimum of 5 years of experience in systems troubleshooting and diagnostics, preferably in the automotive or embedded systems industry Experience using Python or a similar language for automation, programming, and scripting Strong analytical and problem-solving skills with a methodical approach to root cause analysis A passion for autonomous vehicle technology and safety is essential Bonus Qualifications Experience in a Quality Assurance or Triage role for Autonomous Driving Project Management experience on programs involving cross-functional partners and offshore teams Experience with data analytics, dashboards, queries, etc using SQL, Python, and/or Databricks $148,000 - $208,000 a year Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
09/24/2026
Full time
Autonomous vehicles have some of the largest, most complex software ever shipped in a safety-critical environment. Solving that problem is one of the most exciting technical challenges of our lifetime. As a Systems Test Engineer on our System Behavior Analysis Autonomous team, you will play a critical role in the development of Zoox's autonomous platform, working with a broad set of engineering teams across Zoox. You will help triage and root cause the issues identified during testing and real-world operations. You will also produce reports and insights that inform leadership on the overall quality and influence of engineering decisions. Your ability to distill complex systems and root cause issues will be crucial to producing a safe and stable vehicle platform. In this role, you will: Utilize data analytics to analyze and diagnose a wide range of system faults and errors related to perception, planner, and other AI software from both on-road testing and system simulations. Effectively categorize and prioritize issues based on severity, urgency, and potential impact on safety and performance by working collaboratively with cross-functional teams (engineering, software, testing). Identify trends in system failures and propose preventative measures to improve overall system safety and robustness by producing clear and concise reports of system issues, troubleshooting steps, and root cause analysis. Be hands-on, lead by example, and develop tools and workflows to drive improvements for both quality and quantity aspects of the triage. Demonstrate operational agility by quickly adapting to changing priorities, managing multiple tasks simultaneously, and implementing effective solutions in dynamic environments. Qualifications Bachelor's or Masters degree in Computer Science or STEM-related field Minimum of 5 years of experience in systems troubleshooting and diagnostics, preferably in the automotive or embedded systems industry Experience using Python or a similar language for automation, programming, and scripting Strong analytical and problem-solving skills with a methodical approach to root cause analysis A passion for autonomous vehicle technology and safety is essential Bonus Qualifications Experience in a Quality Assurance or Triage role for Autonomous Driving Project Management experience on programs involving cross-functional partners and offshore teams Experience with data analytics, dashboards, queries, etc using SQL, Python, and/or Databricks $148,000 - $208,000 a year Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI is looking for Senior Software Engineers to join the rapidly growing Data org within the Platform Engineering department. Successful candidates will get the opportunity to work on high-value technologies at the intersection of large-scale distributed systems, data infrastructure, and machine learning. You will design, develop, and maintain various features in a highly scalable and extensible AI/ML platform for large-scale applications, involving data science, distributed systems, and multi-cloud strategy. You will be given opportunities to take ownership of components, collaborate to drive technical direction, and work on interesting, impactful projects. Join us in building the next-generation AI/ML platform at petabyte level scale that powers some of the world's largest companies in Energy, Financial Services, Utilities, Health Care, Aerospace, Defense, etc. Accelerate your career in the leading enterprise AI company that is in a hyper-growth trajectory. Responsibilities: Design and develop infrastructure and services to enable data pipelines for petabyte level scale and more. Design and develop abstractions over datastores such as Cassandra, PostgreSQL, Snowflake, etc. Design and develop file system abstractions over AWS S3, Azure Blobs, HDFS, etc. Design and develop connectors to various external data stores. Design and develop distributed system components for stream processing, queueing, batch processing, analytics engines, etc. Develop and maintain industry-leading, high-performance APIs for AL/ML applications. Develop and maintain features for distributed computations over large-scale data for ML workflows. Design and develop ML-specific data-systems such as feature stores and behavioral frameworks such as recommendation engines. Design and develop integrations with distributed computing technologies such as Apache Spark, Ray, etc. for data exploration and ML workload orchestration. Design and develop integrations with data analysis libraries such as Pandas, Koalas, etc. Develop and production AI/ML models for failure prediction, data schema inferencing, etc. Work on frameworks for performance, scalability, and reliability tracking over different components of a highly extensible AI/ML platform. Work with architects, product managers, and software engineers across teams in a highly collaborative environment. Participate and provide insights in technical discussions. Write clean code following a test-driven methodology. Deliver commitments promptly following agile software development methodology. Qualifications: Bachelor of Science in Computer Science, Computer Engineering, or related fields. A minimum of 5 years of work experience in a fast-paced software company. Strong understanding of Computer Science fundamentals. High proficiency in coding with Java, C++, C#, or some other compiled language. Python would also be acceptable. Strong competency in object-oriented programming, data structures, algorithms, and software design patterns. Experience with version control systems such as Git. Experience with large-scale distributed systems. Experience with any public cloud platform (AWS, Azure, GCP). Some familiarity with distributed computing technologies (e.g., Hadoop, Spark, Kafka). Familiarity with managed versions of these technologies on public cloud platforms is also acceptable. Familiarity with technologies in the modern data science/analysis and engineering ecosystem (e.g., Pandas, Koalas). Good verbal and written technical communication ability to facilitate collaboration. Thrive in a fast-paced, dynamic environment and value end-to-end ownership of components. Intellectually curious and open to challenges. Preferred Qualifications: Advanced degree in engineering, sciences, or related field. Experience with Agile development methodology. Experience developing and working with REST and/or GraphQL APIs. Experience building scalable and reliable data pipelines. Experience with integration of data from multiple sources. Experience working with analytics and/or data processing engines. Experience developing distributed computation over large-scale data. Experience working with distributed computing frameworks (e.g., Hadoop, Spark, Kafka). Experience with data science/analysis libraries (e.g., Pandas, Koalas). Experience with task schedulers in distributed computing (e.g., Spark, Ray, Dask). Familiarity with machine learning workload orchestration in a distributed computing environment. Familiarity with workflow execution and/or optimization using DAGs, ideally for machine learning use-cases. Conceptual understanding of orchestration and resource provisioning systems (Kubernetes) C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. California Base Pay Range $145,000-$187,000 USD C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.
09/24/2026
Full time
C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI is looking for Senior Software Engineers to join the rapidly growing Data org within the Platform Engineering department. Successful candidates will get the opportunity to work on high-value technologies at the intersection of large-scale distributed systems, data infrastructure, and machine learning. You will design, develop, and maintain various features in a highly scalable and extensible AI/ML platform for large-scale applications, involving data science, distributed systems, and multi-cloud strategy. You will be given opportunities to take ownership of components, collaborate to drive technical direction, and work on interesting, impactful projects. Join us in building the next-generation AI/ML platform at petabyte level scale that powers some of the world's largest companies in Energy, Financial Services, Utilities, Health Care, Aerospace, Defense, etc. Accelerate your career in the leading enterprise AI company that is in a hyper-growth trajectory. Responsibilities: Design and develop infrastructure and services to enable data pipelines for petabyte level scale and more. Design and develop abstractions over datastores such as Cassandra, PostgreSQL, Snowflake, etc. Design and develop file system abstractions over AWS S3, Azure Blobs, HDFS, etc. Design and develop connectors to various external data stores. Design and develop distributed system components for stream processing, queueing, batch processing, analytics engines, etc. Develop and maintain industry-leading, high-performance APIs for AL/ML applications. Develop and maintain features for distributed computations over large-scale data for ML workflows. Design and develop ML-specific data-systems such as feature stores and behavioral frameworks such as recommendation engines. Design and develop integrations with distributed computing technologies such as Apache Spark, Ray, etc. for data exploration and ML workload orchestration. Design and develop integrations with data analysis libraries such as Pandas, Koalas, etc. Develop and production AI/ML models for failure prediction, data schema inferencing, etc. Work on frameworks for performance, scalability, and reliability tracking over different components of a highly extensible AI/ML platform. Work with architects, product managers, and software engineers across teams in a highly collaborative environment. Participate and provide insights in technical discussions. Write clean code following a test-driven methodology. Deliver commitments promptly following agile software development methodology. Qualifications: Bachelor of Science in Computer Science, Computer Engineering, or related fields. A minimum of 5 years of work experience in a fast-paced software company. Strong understanding of Computer Science fundamentals. High proficiency in coding with Java, C++, C#, or some other compiled language. Python would also be acceptable. Strong competency in object-oriented programming, data structures, algorithms, and software design patterns. Experience with version control systems such as Git. Experience with large-scale distributed systems. Experience with any public cloud platform (AWS, Azure, GCP). Some familiarity with distributed computing technologies (e.g., Hadoop, Spark, Kafka). Familiarity with managed versions of these technologies on public cloud platforms is also acceptable. Familiarity with technologies in the modern data science/analysis and engineering ecosystem (e.g., Pandas, Koalas). Good verbal and written technical communication ability to facilitate collaboration. Thrive in a fast-paced, dynamic environment and value end-to-end ownership of components. Intellectually curious and open to challenges. Preferred Qualifications: Advanced degree in engineering, sciences, or related field. Experience with Agile development methodology. Experience developing and working with REST and/or GraphQL APIs. Experience building scalable and reliable data pipelines. Experience with integration of data from multiple sources. Experience working with analytics and/or data processing engines. Experience developing distributed computation over large-scale data. Experience working with distributed computing frameworks (e.g., Hadoop, Spark, Kafka). Experience with data science/analysis libraries (e.g., Pandas, Koalas). Experience with task schedulers in distributed computing (e.g., Spark, Ray, Dask). Familiarity with machine learning workload orchestration in a distributed computing environment. Familiarity with workflow execution and/or optimization using DAGs, ideally for machine learning use-cases. Conceptual understanding of orchestration and resource provisioning systems (Kubernetes) C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. California Base Pay Range $145,000-$187,000 USD C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.
Sager Electronics seeks a Field Application Engineer to support OEM and industrial customers with technical solutions in interconnect, power, and electromechanical components. You will collaborate with sales teams to identify design-in opportunities, recommend components, and provide on-site and virtual application support. Responsibilities include reviewing schematics, troubleshooting designs, conducting product demos, and liaising with manufacturers. In our customer-focused, collaborative culture, you'll grow your technical and supply chain expertise while driving design wins and contributing to innovative customer projects. Responsibilities Provide on-site and remote technical support to OEM and industrial customers Review schematics and designs to recommend appropriate components and solutions Collaborate with sales teams to identify and drive design-in opportunities Conduct product demonstrations, training, and technical presentations Troubleshoot application issues and coordinate with manufacturers for advanced support Support value-added and custom solutions for customer-specific requirements Document customer requirements and maintain opportunity data in CRM systems Stay current on product technologies and market trends to guide customers effectively Required Skills Electronics circuit design Power electronics Interconnect and electromechanical components Reading schematics and datasheets Technical sales support Design-in/application support Customer presentation skills CRM and sales tools Failure analysis and troubleshooting Supply chain and distribution familiarity
09/23/2026
Full time
Sager Electronics seeks a Field Application Engineer to support OEM and industrial customers with technical solutions in interconnect, power, and electromechanical components. You will collaborate with sales teams to identify design-in opportunities, recommend components, and provide on-site and virtual application support. Responsibilities include reviewing schematics, troubleshooting designs, conducting product demos, and liaising with manufacturers. In our customer-focused, collaborative culture, you'll grow your technical and supply chain expertise while driving design wins and contributing to innovative customer projects. Responsibilities Provide on-site and remote technical support to OEM and industrial customers Review schematics and designs to recommend appropriate components and solutions Collaborate with sales teams to identify and drive design-in opportunities Conduct product demonstrations, training, and technical presentations Troubleshoot application issues and coordinate with manufacturers for advanced support Support value-added and custom solutions for customer-specific requirements Document customer requirements and maintain opportunity data in CRM systems Stay current on product technologies and market trends to guide customers effectively Required Skills Electronics circuit design Power electronics Interconnect and electromechanical components Reading schematics and datasheets Technical sales support Design-in/application support Customer presentation skills CRM and sales tools Failure analysis and troubleshooting Supply chain and distribution familiarity
Sager Electronics is seeking a Field Application Engineer to support OEM and industrial customers across the wholesale electronic components market. In this customer-facing role, you'll provide design-in support, recommend interconnect, power, and electromechanical solutions, and resolve complex technical challenges. Partner with sales, suppliers, and engineering teams to deliver value-added services, on-site visits, and product demos. You'll leverage your electronics expertise, communication skills, and problem-solving abilities in a collaborative, growth-oriented, and service-driven culture with strong opportunities for development. Responsibilities Provide on-site and remote technical support to OEM and industrial customers. Recommend and design-in interconnect, power, and electromechanical component solutions. Collaborate with sales teams to develop and execute technical strategies for key accounts. Conduct product demos, technical presentations, and training for customers and internal teams. Analyze customer requirements, schematics, and specifications to propose optimal solutions. Support troubleshooting, root cause analysis, and resolution of application issues in the field. Interface with supplier engineering teams to stay current on products and technologies. Document customer interactions, opportunities, and designs within CRM/ERP systems. Contribute to continuous improvement of technical processes, tools, and support resources. Build long-term customer relationships aligned with Sager's service-driven culture. Required Skills Electronic circuit design and analysis Interconnect, power, and electromechanical components knowledge Reading schematics and technical documentation Customer-facing technical support Solution selling / design-in support Troubleshooting and failure analysis Technical presentations and demos CRM and ERP systems use Project and time management Microsoft Office and collaboration tools
09/23/2026
Full time
Sager Electronics is seeking a Field Application Engineer to support OEM and industrial customers across the wholesale electronic components market. In this customer-facing role, you'll provide design-in support, recommend interconnect, power, and electromechanical solutions, and resolve complex technical challenges. Partner with sales, suppliers, and engineering teams to deliver value-added services, on-site visits, and product demos. You'll leverage your electronics expertise, communication skills, and problem-solving abilities in a collaborative, growth-oriented, and service-driven culture with strong opportunities for development. Responsibilities Provide on-site and remote technical support to OEM and industrial customers. Recommend and design-in interconnect, power, and electromechanical component solutions. Collaborate with sales teams to develop and execute technical strategies for key accounts. Conduct product demos, technical presentations, and training for customers and internal teams. Analyze customer requirements, schematics, and specifications to propose optimal solutions. Support troubleshooting, root cause analysis, and resolution of application issues in the field. Interface with supplier engineering teams to stay current on products and technologies. Document customer interactions, opportunities, and designs within CRM/ERP systems. Contribute to continuous improvement of technical processes, tools, and support resources. Build long-term customer relationships aligned with Sager's service-driven culture. Required Skills Electronic circuit design and analysis Interconnect, power, and electromechanical components knowledge Reading schematics and technical documentation Customer-facing technical support Solution selling / design-in support Troubleshooting and failure analysis Technical presentations and demos CRM and ERP systems use Project and time management Microsoft Office and collaboration tools
Summary The Senior Data Integration Engineer is responsible for the design, development, and operation of the data integration and ingestion processes that deliver partner and internal data into our analytics environment. The role owns the flow of data from source acquisition through the curated data warehouse tables consumed by reporting platforms, operational systems, and business analysts. This is a senior, hands-on engineering position spanning the full integration lifecycle: acquiring data from a wide range of external partner and internal systems, validating and conditioning that data on arrival, transforming it into the structures that support analysis and operations, and operating those processes reliably in production. The role is concerned equally with building new integrations and with the continued performance, accuracy, and timeliness of those already in service. A central objective of the position is to advance reusable, well-instrumented integration patterns that shorten the time required to onboard new data sources and that improve the reliability and transparency of data delivery to the business. The Senior Data Integration Engineer will also contribute substantially to the planned modernization of our data platform, evaluating and recommending tooling, architecture, and migration approach for leadership consideration. The role sets technical direction and development standards for data integration work and collaborates closely with data architects, business analysts, stakeholders across the organization, and the technical contacts of our external data partners. Essential Duties and Responsibilities This list of duties and responsibilities is not all inclusive and may be expanded to include other duties and responsibilities as management may deem necessary from time to time. Design, develop, and maintain data integration processes that acquire data from partner and internal sources, including flat file transfers over SFTP, REST API endpoints, and direct database connections. Develop reusable, configuration-driven ingestion patterns that reduce the effort and elapsed time required to onboard new partner data feeds. Develop and maintain the T-SQL transformation logic that carries data from landing and staging layers through to the curated warehouse tables supporting reporting, operational systems, and analyst queries. Design ingestion processes to be idempotent and safely re-runnable, incorporating automated retry and restart behavior for failed executions. Implement automated validation and quarantine processes so that records failing business-defined quality rules are isolated, reported, and prevented from reaching downstream consumers. Implement data quality rules defined by the business, including schema validation, reconciliation, row count and threshold checks, and anomaly detection. Establish monitoring, logging, and alerting for pipeline execution state, data freshness, and load completion, and automate the communication of ingestion status to stakeholders. Diagnose and resolve production data incidents, determine root cause, coordinate remediation, and document preventive measures through runbooks and post-incident review. Contribute to dimensional data model design in collaboration with the data architect and senior team members. Establish and maintain version control, code review, and repeatable deployment practices for database and pipeline code. Define and uphold development standards for data integration work through code review and technical guidance. Evaluate and recommend tooling, architecture, and sequencing for the platform modernization effort for leadership consideration. Migrate established integration workflows to modernized patterns incrementally and without disruption to production operations. Maintain documentation of data feeds, dependencies, lineage, ownership, and escalation paths. Perform all work involving protected health information in accordance with HIPAA requirements, including least-privilege access, secure transmission and storage of partner data, and the exclusion of PHI from logs and non-production environments. Coordinate with partner technical contacts, as needed, to resolve file format, schema, and connectivity questions. Provide occasional off-hours support for critical data load failures or production support rotations as needed to support timely response to critical data issues. Support AI and machine learning initiatives by maintaining reliable, secure, and well-governed data pipelines and datasets used for model development, testing, deployment, monitoring, and ongoing performance evaluation. Maintain confidentiality of information processed & follow company policies and procedures. Qualifications Requires six (6) or more years of professional data engineering, data operations, data platform operations, or related experience. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent professional experience preferred. Experience leading teams and developing supervisory staff preferred. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Other qualifications include: Advanced T-SQL development skills, including: Set-based rewriting of row-by-row and cursor-based logic. MERGE, upsert, and slowly changing dimension load patterns. Window functions and complex analytic queries. Execution plan analysis, index strategy, statistics management, and resolution of performance issues such as parameter sniffing. Transaction management and structured error handling within stored procedures, including correct rollback behavior on partial failure. Demonstrated proficiency in Python for data engineering applications, including API-based data acquisition, file parsing and format handling, data validation, and the development of packaged, scheduled jobs. Familiarity with common data libraries such as requests and pandas is expected. Demonstrated experience acquiring and integrating data from heterogeneous sources, including delimited, fixed-width, JSON, and XML file formats; REST APIs requiring authentication, pagination, and rate-limit handling; and direct database connectivity. Proficiency with Git and collaborative development workflows, including branching, pull requests, and code review. A code-first development approach, with integration logic authored and maintained in T-SQL and Python under source control. Ability to analyze pipeline and query performance and to improve the reliability, scalability, and cost efficiency of data workloads. Strong written communication skills, with the ability to produce runbooks, technical documentation, and incident reports, and to convey the business impact of technical issues to non-technical stakeholders. Strong problem-solving skills, attention to detail, and demonstrated ownership of production systems. Experience with Microsoft Azure data services such as Azure Data Factory or Microsoft Fabric, or comparable cloud orchestration platforms. Experience migrating on-premises SQL Server integration workloads to a cloud platform. Experience with dimensional modeling and data warehouse design. Experience designing and rationalizing SQL Server Agent job dependencies and scheduling. Experience establishing version control, code review, and repeatable deployment practices for database code. Experience implementing CI/CD pipelines for database projects. Experience handling protected health information under HIPAA, or comparably regulated data under an equivalent framework preferred. Experience with healthcare or pharmacy data, including claims, eligibility, prescription, or delivery data preferred. Familiarity with data governance, metadata management, and data lineage practices. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. (The phrases "occasionally," "regularly," and "frequently" correspond to the following definitions: "Occasionally" means up to 1/3 of working time, "regularly" means between 1/3 and 2/3 of working time, and "frequently" means 2/3 and more working time.) While performing the duties of this job, the employee is frequently required to sit; talk or hear; and use hands to handle, or touch objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee would rarely need to lift up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment The position is a hybrid position with 2 - 3 days office presence in Milwaukee, WI required. The colleague may perform work-related travel on rare occasions (less than 10%) with an emphasis on travel for impact. . click apply for full job details
09/23/2026
Full time
Summary The Senior Data Integration Engineer is responsible for the design, development, and operation of the data integration and ingestion processes that deliver partner and internal data into our analytics environment. The role owns the flow of data from source acquisition through the curated data warehouse tables consumed by reporting platforms, operational systems, and business analysts. This is a senior, hands-on engineering position spanning the full integration lifecycle: acquiring data from a wide range of external partner and internal systems, validating and conditioning that data on arrival, transforming it into the structures that support analysis and operations, and operating those processes reliably in production. The role is concerned equally with building new integrations and with the continued performance, accuracy, and timeliness of those already in service. A central objective of the position is to advance reusable, well-instrumented integration patterns that shorten the time required to onboard new data sources and that improve the reliability and transparency of data delivery to the business. The Senior Data Integration Engineer will also contribute substantially to the planned modernization of our data platform, evaluating and recommending tooling, architecture, and migration approach for leadership consideration. The role sets technical direction and development standards for data integration work and collaborates closely with data architects, business analysts, stakeholders across the organization, and the technical contacts of our external data partners. Essential Duties and Responsibilities This list of duties and responsibilities is not all inclusive and may be expanded to include other duties and responsibilities as management may deem necessary from time to time. Design, develop, and maintain data integration processes that acquire data from partner and internal sources, including flat file transfers over SFTP, REST API endpoints, and direct database connections. Develop reusable, configuration-driven ingestion patterns that reduce the effort and elapsed time required to onboard new partner data feeds. Develop and maintain the T-SQL transformation logic that carries data from landing and staging layers through to the curated warehouse tables supporting reporting, operational systems, and analyst queries. Design ingestion processes to be idempotent and safely re-runnable, incorporating automated retry and restart behavior for failed executions. Implement automated validation and quarantine processes so that records failing business-defined quality rules are isolated, reported, and prevented from reaching downstream consumers. Implement data quality rules defined by the business, including schema validation, reconciliation, row count and threshold checks, and anomaly detection. Establish monitoring, logging, and alerting for pipeline execution state, data freshness, and load completion, and automate the communication of ingestion status to stakeholders. Diagnose and resolve production data incidents, determine root cause, coordinate remediation, and document preventive measures through runbooks and post-incident review. Contribute to dimensional data model design in collaboration with the data architect and senior team members. Establish and maintain version control, code review, and repeatable deployment practices for database and pipeline code. Define and uphold development standards for data integration work through code review and technical guidance. Evaluate and recommend tooling, architecture, and sequencing for the platform modernization effort for leadership consideration. Migrate established integration workflows to modernized patterns incrementally and without disruption to production operations. Maintain documentation of data feeds, dependencies, lineage, ownership, and escalation paths. Perform all work involving protected health information in accordance with HIPAA requirements, including least-privilege access, secure transmission and storage of partner data, and the exclusion of PHI from logs and non-production environments. Coordinate with partner technical contacts, as needed, to resolve file format, schema, and connectivity questions. Provide occasional off-hours support for critical data load failures or production support rotations as needed to support timely response to critical data issues. Support AI and machine learning initiatives by maintaining reliable, secure, and well-governed data pipelines and datasets used for model development, testing, deployment, monitoring, and ongoing performance evaluation. Maintain confidentiality of information processed & follow company policies and procedures. Qualifications Requires six (6) or more years of professional data engineering, data operations, data platform operations, or related experience. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent professional experience preferred. Experience leading teams and developing supervisory staff preferred. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Other qualifications include: Advanced T-SQL development skills, including: Set-based rewriting of row-by-row and cursor-based logic. MERGE, upsert, and slowly changing dimension load patterns. Window functions and complex analytic queries. Execution plan analysis, index strategy, statistics management, and resolution of performance issues such as parameter sniffing. Transaction management and structured error handling within stored procedures, including correct rollback behavior on partial failure. Demonstrated proficiency in Python for data engineering applications, including API-based data acquisition, file parsing and format handling, data validation, and the development of packaged, scheduled jobs. Familiarity with common data libraries such as requests and pandas is expected. Demonstrated experience acquiring and integrating data from heterogeneous sources, including delimited, fixed-width, JSON, and XML file formats; REST APIs requiring authentication, pagination, and rate-limit handling; and direct database connectivity. Proficiency with Git and collaborative development workflows, including branching, pull requests, and code review. A code-first development approach, with integration logic authored and maintained in T-SQL and Python under source control. Ability to analyze pipeline and query performance and to improve the reliability, scalability, and cost efficiency of data workloads. Strong written communication skills, with the ability to produce runbooks, technical documentation, and incident reports, and to convey the business impact of technical issues to non-technical stakeholders. Strong problem-solving skills, attention to detail, and demonstrated ownership of production systems. Experience with Microsoft Azure data services such as Azure Data Factory or Microsoft Fabric, or comparable cloud orchestration platforms. Experience migrating on-premises SQL Server integration workloads to a cloud platform. Experience with dimensional modeling and data warehouse design. Experience designing and rationalizing SQL Server Agent job dependencies and scheduling. Experience establishing version control, code review, and repeatable deployment practices for database code. Experience implementing CI/CD pipelines for database projects. Experience handling protected health information under HIPAA, or comparably regulated data under an equivalent framework preferred. Experience with healthcare or pharmacy data, including claims, eligibility, prescription, or delivery data preferred. Familiarity with data governance, metadata management, and data lineage practices. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. (The phrases "occasionally," "regularly," and "frequently" correspond to the following definitions: "Occasionally" means up to 1/3 of working time, "regularly" means between 1/3 and 2/3 of working time, and "frequently" means 2/3 and more working time.) While performing the duties of this job, the employee is frequently required to sit; talk or hear; and use hands to handle, or touch objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee would rarely need to lift up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment The position is a hybrid position with 2 - 3 days office presence in Milwaukee, WI required. The colleague may perform work-related travel on rare occasions (less than 10%) with an emphasis on travel for impact. . click apply for full job details
The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective is looking for a Lead Data Engineer to set the technical direction for a delivery pod building data products on Voyager, our Databricks lakehouse on Azure. You will lead the design of data products through the full medallion architecture - Bronze ingestion, Silver conformance, and Gold consumption - and be accountable for whether those products hold up for the consumers who depend on them. This is a hands-on technical leadership role, not a people-management or project-management role. You will still write and review production code daily. What you own is how the pod's data products are designed, modeled, contracted, and tested, and the standard the pod holds itself to. The Product Owner owns the backlog and the Scrum Master owns the sprint; you own the engineering. On Voyager, the medallion layers are named Raw, Prep, and Prod. They map directly to Bronze, Silver, and Gold and are used interchangeably in this description. Key Responsibilities Design and modeling • Lead the design of data products end to end: what gets ingested, how it is cleansed and conformed, how it is modeled, and what the Gold layer looks like to the people querying it. • Own dimensional design - grain, natural and surrogate keys, Type 2 history, facts, bridges, and conformed dimensions shared across the pod's products. • Set the pod's position on where logic belongs: what is cleaned in Silver, what is business logic in Gold, and what is a consumer's own concern. • Keep models as simple as the questions require, and push back on designs that will not hold. • Partner with ML engineering where the pod's Gold layer is the training or feature source for a model, so those datasets are contracted, versioned, and reproducible like any other consumer-facing product. Data contracts and consumer compatibility • Own the pod's ODCS data contracts as real interfaces: named owners, named consumers, enforceable quality rules, freshness and update expectations, and an explicit breaking-change policy. • Make the compatibility call on every proposed contract change, and drive consumer notification when a change is genuinely breaking. • Represent the pod's contracts in cross-domain conversations, where one pod's Gold layer is another team's dependency. Standards, quality, and operations • Set and hold the pod's engineering standards for Python, SQL, dbt, testing, model structure, naming, and repository conventions - consistent with the platform's paved paths and Azure DevOps CI gates rather than in competition with them. • Lead code review. Be the reviewer who catches the modeling mistake, the missing test, and the change that will break a consumer, and who explains why so the pod learns it. • Ensure quality rules are enforced in tests and asset checks rather than asserted in documentation, and that pipeline health is observable without someone going to look - freshness, volume, latency, and cost instrumented, and alerting set against the SLAs and SLOs the pod's contracts commit to. • Own the pod's operational posture for its own pipelines: failure diagnosis, data-issue triage, backfills, cost and performance tuning, on-call coverage and escalation, root-cause analysis, and runbooks someone other than the author can execute. • Keep the pod's delivery inside the control expectations of a regulated carrier: change management through pull request and pipeline, segregation of duties between authoring and deploying, least-privilege access, and audit evidence that falls out of CI/CD rather than being assembled for an auditor. • Develop reusable frameworks, templates, and patterns that raise the pod's consistency and delivery speed. Delivery leadership • Partner with the Product Owner and Scrum Master on decomposition and refinement: turn use cases and features into estimable, grounded stories with testable acceptance criteria and an identified target layer and repository. • Hold the Definition of Ready before the pod commits and the Definition of Done before the pod calls something finished - merged and approved code, passing CI and coverage gates, and evidence that the outcome is real. • Identify unknowns that need a spike rather than an estimate, and say so during planning rather than mid-sprint. Mentorship and collaboration • Grow the engineers on the pod through design review, pairing, and code review rather than by taking the hard work yourself. • Bring new engineers up to productive speed on the platform's conventions and tooling, and reduce single points of knowledge - no data product that only one person understands. • Work with the platform team on capability gaps: when the pod needs something the platform does not yet offer, raise it as a demand signal rather than building a private workaround. • Partner with the DataOps/MLOps Lead on the shared CI/CD, orchestration, and observability standards - adopt and strengthen the paved path rather than forking it, and be the pod's voice on what it is still missing. • Work with data architecture and governance on solution shape, Unity Catalog placement, and access requirements. Qualifications Required Qualifications • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field; equivalent practical experience considered. • 6+ years building and operating production data pipelines and consumer-facing data models, from source ingestion through to published data products. • Strong hands-on Python and SQL, with the credibility to make design calls and the willingness to still write and review code. • Hands-on experience with Databricks or a comparable Spark-based lakehouse, including Delta Lake, MERGE, incremental processing, and performance tuning. • Deep dimensional modeling experience - grain, keys, slowly changing dimensions, facts and dimensions, conformed dimensions. • Demonstrated technical leadership: setting standards, leading design, and raising other engineers' work, whether or not the role carried a lead title. • Experience owning data that other teams depend on, including handling breaking changes and production data incidents. • Experience with orchestration (Dagster, Databricks Workflows, Airflow, or similar), Git-based collaborative development, code review, and CI/CD - Azure DevOps or comparable. • Experience setting observability and SLA/SLO expectations for data other teams depend on, and running the incident and communication path when they are missed. • Ability to explain trade-offs clearly to engineers, product owners, and business stakeholders, and to say no to a design that will not hold. Preferred Qualifications • Databricks certification (Data Engineer Professional or equivalent demonstrated depth). • Unity Catalog at multi-team scale: catalogs, schemas, external locations, permissions, and lineage. • dbt at scale on Databricks, and Python-based modeling frameworks over Delta Lake. • Dagster and Dagster Cloud, including assets, asset checks, and branch deployments. • Practical experience with data contracts, ODCS, or data-mesh style data product ownership. • Experience with a declarative Python ingestion framework such as dlt (dltHub) or comparable. • Data quality and observability tooling such as Great Expectations, Monte Carlo, or similar. • Familiarity with MLOps practice - MLflow, model registries, and model serving - sufficient to design data products that ML systems can depend on. • Azure and Azure DevOps. • Financial services, insurance, or another regulated industry, including data access, lineage, and audit expectations. • Experience introducing AI-assisted development into a team's normal workflow in a disciplined way. $109,500 - $167,833 a year Protective's targeted salary range for this position is $109,500 to $167,833. Actual salaries may vary depending on factors, including but not limited to, job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email eric . click apply for full job details
09/23/2026
Full time
The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective is looking for a Lead Data Engineer to set the technical direction for a delivery pod building data products on Voyager, our Databricks lakehouse on Azure. You will lead the design of data products through the full medallion architecture - Bronze ingestion, Silver conformance, and Gold consumption - and be accountable for whether those products hold up for the consumers who depend on them. This is a hands-on technical leadership role, not a people-management or project-management role. You will still write and review production code daily. What you own is how the pod's data products are designed, modeled, contracted, and tested, and the standard the pod holds itself to. The Product Owner owns the backlog and the Scrum Master owns the sprint; you own the engineering. On Voyager, the medallion layers are named Raw, Prep, and Prod. They map directly to Bronze, Silver, and Gold and are used interchangeably in this description. Key Responsibilities Design and modeling • Lead the design of data products end to end: what gets ingested, how it is cleansed and conformed, how it is modeled, and what the Gold layer looks like to the people querying it. • Own dimensional design - grain, natural and surrogate keys, Type 2 history, facts, bridges, and conformed dimensions shared across the pod's products. • Set the pod's position on where logic belongs: what is cleaned in Silver, what is business logic in Gold, and what is a consumer's own concern. • Keep models as simple as the questions require, and push back on designs that will not hold. • Partner with ML engineering where the pod's Gold layer is the training or feature source for a model, so those datasets are contracted, versioned, and reproducible like any other consumer-facing product. Data contracts and consumer compatibility • Own the pod's ODCS data contracts as real interfaces: named owners, named consumers, enforceable quality rules, freshness and update expectations, and an explicit breaking-change policy. • Make the compatibility call on every proposed contract change, and drive consumer notification when a change is genuinely breaking. • Represent the pod's contracts in cross-domain conversations, where one pod's Gold layer is another team's dependency. Standards, quality, and operations • Set and hold the pod's engineering standards for Python, SQL, dbt, testing, model structure, naming, and repository conventions - consistent with the platform's paved paths and Azure DevOps CI gates rather than in competition with them. • Lead code review. Be the reviewer who catches the modeling mistake, the missing test, and the change that will break a consumer, and who explains why so the pod learns it. • Ensure quality rules are enforced in tests and asset checks rather than asserted in documentation, and that pipeline health is observable without someone going to look - freshness, volume, latency, and cost instrumented, and alerting set against the SLAs and SLOs the pod's contracts commit to. • Own the pod's operational posture for its own pipelines: failure diagnosis, data-issue triage, backfills, cost and performance tuning, on-call coverage and escalation, root-cause analysis, and runbooks someone other than the author can execute. • Keep the pod's delivery inside the control expectations of a regulated carrier: change management through pull request and pipeline, segregation of duties between authoring and deploying, least-privilege access, and audit evidence that falls out of CI/CD rather than being assembled for an auditor. • Develop reusable frameworks, templates, and patterns that raise the pod's consistency and delivery speed. Delivery leadership • Partner with the Product Owner and Scrum Master on decomposition and refinement: turn use cases and features into estimable, grounded stories with testable acceptance criteria and an identified target layer and repository. • Hold the Definition of Ready before the pod commits and the Definition of Done before the pod calls something finished - merged and approved code, passing CI and coverage gates, and evidence that the outcome is real. • Identify unknowns that need a spike rather than an estimate, and say so during planning rather than mid-sprint. Mentorship and collaboration • Grow the engineers on the pod through design review, pairing, and code review rather than by taking the hard work yourself. • Bring new engineers up to productive speed on the platform's conventions and tooling, and reduce single points of knowledge - no data product that only one person understands. • Work with the platform team on capability gaps: when the pod needs something the platform does not yet offer, raise it as a demand signal rather than building a private workaround. • Partner with the DataOps/MLOps Lead on the shared CI/CD, orchestration, and observability standards - adopt and strengthen the paved path rather than forking it, and be the pod's voice on what it is still missing. • Work with data architecture and governance on solution shape, Unity Catalog placement, and access requirements. Qualifications Required Qualifications • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field; equivalent practical experience considered. • 6+ years building and operating production data pipelines and consumer-facing data models, from source ingestion through to published data products. • Strong hands-on Python and SQL, with the credibility to make design calls and the willingness to still write and review code. • Hands-on experience with Databricks or a comparable Spark-based lakehouse, including Delta Lake, MERGE, incremental processing, and performance tuning. • Deep dimensional modeling experience - grain, keys, slowly changing dimensions, facts and dimensions, conformed dimensions. • Demonstrated technical leadership: setting standards, leading design, and raising other engineers' work, whether or not the role carried a lead title. • Experience owning data that other teams depend on, including handling breaking changes and production data incidents. • Experience with orchestration (Dagster, Databricks Workflows, Airflow, or similar), Git-based collaborative development, code review, and CI/CD - Azure DevOps or comparable. • Experience setting observability and SLA/SLO expectations for data other teams depend on, and running the incident and communication path when they are missed. • Ability to explain trade-offs clearly to engineers, product owners, and business stakeholders, and to say no to a design that will not hold. Preferred Qualifications • Databricks certification (Data Engineer Professional or equivalent demonstrated depth). • Unity Catalog at multi-team scale: catalogs, schemas, external locations, permissions, and lineage. • dbt at scale on Databricks, and Python-based modeling frameworks over Delta Lake. • Dagster and Dagster Cloud, including assets, asset checks, and branch deployments. • Practical experience with data contracts, ODCS, or data-mesh style data product ownership. • Experience with a declarative Python ingestion framework such as dlt (dltHub) or comparable. • Data quality and observability tooling such as Great Expectations, Monte Carlo, or similar. • Familiarity with MLOps practice - MLflow, model registries, and model serving - sufficient to design data products that ML systems can depend on. • Azure and Azure DevOps. • Financial services, insurance, or another regulated industry, including data access, lineage, and audit expectations. • Experience introducing AI-assisted development into a team's normal workflow in a disciplined way. $109,500 - $167,833 a year Protective's targeted salary range for this position is $109,500 to $167,833. Actual salaries may vary depending on factors, including but not limited to, job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email eric . click apply for full job details
The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective is looking for a Lead Data Engineer to set the technical direction for a delivery pod building data products on Voyager, our Databricks lakehouse on Azure. You will lead the design of data products through the full medallion architecture - Bronze ingestion, Silver conformance, and Gold consumption - and be accountable for whether those products hold up for the consumers who depend on them. This is a hands-on technical leadership role, not a people-management or project-management role. You will still write and review production code daily. What you own is how the pod's data products are designed, modeled, contracted, and tested, and the standard the pod holds itself to. The Product Owner owns the backlog and the Scrum Master owns the sprint; you own the engineering. On Voyager, the medallion layers are named Raw, Prep, and Prod. They map directly to Bronze, Silver, and Gold and are used interchangeably in this description. Key Responsibilities Design and modeling • Lead the design of data products end to end: what gets ingested, how it is cleansed and conformed, how it is modeled, and what the Gold layer looks like to the people querying it. • Own dimensional design - grain, natural and surrogate keys, Type 2 history, facts, bridges, and conformed dimensions shared across the pod's products. • Set the pod's position on where logic belongs: what is cleaned in Silver, what is business logic in Gold, and what is a consumer's own concern. • Keep models as simple as the questions require, and push back on designs that will not hold. • Partner with ML engineering where the pod's Gold layer is the training or feature source for a model, so those datasets are contracted, versioned, and reproducible like any other consumer-facing product. Data contracts and consumer compatibility • Own the pod's ODCS data contracts as real interfaces: named owners, named consumers, enforceable quality rules, freshness and update expectations, and an explicit breaking-change policy. • Make the compatibility call on every proposed contract change, and drive consumer notification when a change is genuinely breaking. • Represent the pod's contracts in cross-domain conversations, where one pod's Gold layer is another team's dependency. Standards, quality, and operations • Set and hold the pod's engineering standards for Python, SQL, dbt, testing, model structure, naming, and repository conventions - consistent with the platform's paved paths and Azure DevOps CI gates rather than in competition with them. • Lead code review. Be the reviewer who catches the modeling mistake, the missing test, and the change that will break a consumer, and who explains why so the pod learns it. • Ensure quality rules are enforced in tests and asset checks rather than asserted in documentation, and that pipeline health is observable without someone going to look - freshness, volume, latency, and cost instrumented, and alerting set against the SLAs and SLOs the pod's contracts commit to. • Own the pod's operational posture for its own pipelines: failure diagnosis, data-issue triage, backfills, cost and performance tuning, on-call coverage and escalation, root-cause analysis, and runbooks someone other than the author can execute. • Keep the pod's delivery inside the control expectations of a regulated carrier: change management through pull request and pipeline, segregation of duties between authoring and deploying, least-privilege access, and audit evidence that falls out of CI/CD rather than being assembled for an auditor. • Develop reusable frameworks, templates, and patterns that raise the pod's consistency and delivery speed. Delivery leadership • Partner with the Product Owner and Scrum Master on decomposition and refinement: turn use cases and features into estimable, grounded stories with testable acceptance criteria and an identified target layer and repository. • Hold the Definition of Ready before the pod commits and the Definition of Done before the pod calls something finished - merged and approved code, passing CI and coverage gates, and evidence that the outcome is real. • Identify unknowns that need a spike rather than an estimate, and say so during planning rather than mid-sprint. Mentorship and collaboration • Grow the engineers on the pod through design review, pairing, and code review rather than by taking the hard work yourself. • Bring new engineers up to productive speed on the platform's conventions and tooling, and reduce single points of knowledge - no data product that only one person understands. • Work with the platform team on capability gaps: when the pod needs something the platform does not yet offer, raise it as a demand signal rather than building a private workaround. • Partner with the DataOps/MLOps Lead on the shared CI/CD, orchestration, and observability standards - adopt and strengthen the paved path rather than forking it, and be the pod's voice on what it is still missing. • Work with data architecture and governance on solution shape, Unity Catalog placement, and access requirements. Qualifications Required Qualifications • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field; equivalent practical experience considered. • 6+ years building and operating production data pipelines and consumer-facing data models, from source ingestion through to published data products. • Strong hands-on Python and SQL, with the credibility to make design calls and the willingness to still write and review code. • Hands-on experience with Databricks or a comparable Spark-based lakehouse, including Delta Lake, MERGE, incremental processing, and performance tuning. • Deep dimensional modeling experience - grain, keys, slowly changing dimensions, facts and dimensions, conformed dimensions. • Demonstrated technical leadership: setting standards, leading design, and raising other engineers' work, whether or not the role carried a lead title. • Experience owning data that other teams depend on, including handling breaking changes and production data incidents. • Experience with orchestration (Dagster, Databricks Workflows, Airflow, or similar), Git-based collaborative development, code review, and CI/CD - Azure DevOps or comparable. • Experience setting observability and SLA/SLO expectations for data other teams depend on, and running the incident and communication path when they are missed. • Ability to explain trade-offs clearly to engineers, product owners, and business stakeholders, and to say no to a design that will not hold. Preferred Qualifications • Databricks certification (Data Engineer Professional or equivalent demonstrated depth). • Unity Catalog at multi-team scale: catalogs, schemas, external locations, permissions, and lineage. • dbt at scale on Databricks, and Python-based modeling frameworks over Delta Lake. • Dagster and Dagster Cloud, including assets, asset checks, and branch deployments. • Practical experience with data contracts, ODCS, or data-mesh style data product ownership. • Experience with a declarative Python ingestion framework such as dlt (dltHub) or comparable. • Data quality and observability tooling such as Great Expectations, Monte Carlo, or similar. • Familiarity with MLOps practice - MLflow, model registries, and model serving - sufficient to design data products that ML systems can depend on. • Azure and Azure DevOps. • Financial services, insurance, or another regulated industry, including data access, lineage, and audit expectations. • Experience introducing AI-assisted development into a team's normal workflow in a disciplined way. $109,500 - $167,833 a year Protective's targeted salary range for this position is $109,500 to $167,833. Actual salaries may vary depending on factors, including but not limited to, job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email eric . click apply for full job details
09/23/2026
Full time
The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective is looking for a Lead Data Engineer to set the technical direction for a delivery pod building data products on Voyager, our Databricks lakehouse on Azure. You will lead the design of data products through the full medallion architecture - Bronze ingestion, Silver conformance, and Gold consumption - and be accountable for whether those products hold up for the consumers who depend on them. This is a hands-on technical leadership role, not a people-management or project-management role. You will still write and review production code daily. What you own is how the pod's data products are designed, modeled, contracted, and tested, and the standard the pod holds itself to. The Product Owner owns the backlog and the Scrum Master owns the sprint; you own the engineering. On Voyager, the medallion layers are named Raw, Prep, and Prod. They map directly to Bronze, Silver, and Gold and are used interchangeably in this description. Key Responsibilities Design and modeling • Lead the design of data products end to end: what gets ingested, how it is cleansed and conformed, how it is modeled, and what the Gold layer looks like to the people querying it. • Own dimensional design - grain, natural and surrogate keys, Type 2 history, facts, bridges, and conformed dimensions shared across the pod's products. • Set the pod's position on where logic belongs: what is cleaned in Silver, what is business logic in Gold, and what is a consumer's own concern. • Keep models as simple as the questions require, and push back on designs that will not hold. • Partner with ML engineering where the pod's Gold layer is the training or feature source for a model, so those datasets are contracted, versioned, and reproducible like any other consumer-facing product. Data contracts and consumer compatibility • Own the pod's ODCS data contracts as real interfaces: named owners, named consumers, enforceable quality rules, freshness and update expectations, and an explicit breaking-change policy. • Make the compatibility call on every proposed contract change, and drive consumer notification when a change is genuinely breaking. • Represent the pod's contracts in cross-domain conversations, where one pod's Gold layer is another team's dependency. Standards, quality, and operations • Set and hold the pod's engineering standards for Python, SQL, dbt, testing, model structure, naming, and repository conventions - consistent with the platform's paved paths and Azure DevOps CI gates rather than in competition with them. • Lead code review. Be the reviewer who catches the modeling mistake, the missing test, and the change that will break a consumer, and who explains why so the pod learns it. • Ensure quality rules are enforced in tests and asset checks rather than asserted in documentation, and that pipeline health is observable without someone going to look - freshness, volume, latency, and cost instrumented, and alerting set against the SLAs and SLOs the pod's contracts commit to. • Own the pod's operational posture for its own pipelines: failure diagnosis, data-issue triage, backfills, cost and performance tuning, on-call coverage and escalation, root-cause analysis, and runbooks someone other than the author can execute. • Keep the pod's delivery inside the control expectations of a regulated carrier: change management through pull request and pipeline, segregation of duties between authoring and deploying, least-privilege access, and audit evidence that falls out of CI/CD rather than being assembled for an auditor. • Develop reusable frameworks, templates, and patterns that raise the pod's consistency and delivery speed. Delivery leadership • Partner with the Product Owner and Scrum Master on decomposition and refinement: turn use cases and features into estimable, grounded stories with testable acceptance criteria and an identified target layer and repository. • Hold the Definition of Ready before the pod commits and the Definition of Done before the pod calls something finished - merged and approved code, passing CI and coverage gates, and evidence that the outcome is real. • Identify unknowns that need a spike rather than an estimate, and say so during planning rather than mid-sprint. Mentorship and collaboration • Grow the engineers on the pod through design review, pairing, and code review rather than by taking the hard work yourself. • Bring new engineers up to productive speed on the platform's conventions and tooling, and reduce single points of knowledge - no data product that only one person understands. • Work with the platform team on capability gaps: when the pod needs something the platform does not yet offer, raise it as a demand signal rather than building a private workaround. • Partner with the DataOps/MLOps Lead on the shared CI/CD, orchestration, and observability standards - adopt and strengthen the paved path rather than forking it, and be the pod's voice on what it is still missing. • Work with data architecture and governance on solution shape, Unity Catalog placement, and access requirements. Qualifications Required Qualifications • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field; equivalent practical experience considered. • 6+ years building and operating production data pipelines and consumer-facing data models, from source ingestion through to published data products. • Strong hands-on Python and SQL, with the credibility to make design calls and the willingness to still write and review code. • Hands-on experience with Databricks or a comparable Spark-based lakehouse, including Delta Lake, MERGE, incremental processing, and performance tuning. • Deep dimensional modeling experience - grain, keys, slowly changing dimensions, facts and dimensions, conformed dimensions. • Demonstrated technical leadership: setting standards, leading design, and raising other engineers' work, whether or not the role carried a lead title. • Experience owning data that other teams depend on, including handling breaking changes and production data incidents. • Experience with orchestration (Dagster, Databricks Workflows, Airflow, or similar), Git-based collaborative development, code review, and CI/CD - Azure DevOps or comparable. • Experience setting observability and SLA/SLO expectations for data other teams depend on, and running the incident and communication path when they are missed. • Ability to explain trade-offs clearly to engineers, product owners, and business stakeholders, and to say no to a design that will not hold. Preferred Qualifications • Databricks certification (Data Engineer Professional or equivalent demonstrated depth). • Unity Catalog at multi-team scale: catalogs, schemas, external locations, permissions, and lineage. • dbt at scale on Databricks, and Python-based modeling frameworks over Delta Lake. • Dagster and Dagster Cloud, including assets, asset checks, and branch deployments. • Practical experience with data contracts, ODCS, or data-mesh style data product ownership. • Experience with a declarative Python ingestion framework such as dlt (dltHub) or comparable. • Data quality and observability tooling such as Great Expectations, Monte Carlo, or similar. • Familiarity with MLOps practice - MLflow, model registries, and model serving - sufficient to design data products that ML systems can depend on. • Azure and Azure DevOps. • Financial services, insurance, or another regulated industry, including data access, lineage, and audit expectations. • Experience introducing AI-assisted development into a team's normal workflow in a disciplined way. $109,500 - $167,833 a year Protective's targeted salary range for this position is $109,500 to $167,833. Actual salaries may vary depending on factors, including but not limited to, job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email eric . click apply for full job details
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking a SoC Design Verification Engineer to lead pre-silicon verification of the Beowulf SoC, with focus on the Compute Subsystem (CSS), DDR memory subsystem, and Fabric NoC. This role will drive coverage, coherency, memory traffic, connectivity, error handling, and bring-up features critical to silicon success. This role is hybrid, based out of Boston, MA; Toronto, ON; or Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Deeply curious about SoC architecture, compute systems, DDR behavior, and Fabric NoC/interconnect verification. Expert in UVM, SystemVerilog, coverage-driven verification, assertions, and subsystem-level debug. Experienced in verifying compute subsystems, DDR controllers and PHY-facing logic, NoC/interconnect protocols, coherency, ordering, and data movement. Comfortable with reset, power management, error handling, performance, and high-concurrency system scenarios. Proactive, detail-oriented, and effective in cross-functional technical discussions. Familiar with Python, C/C++, Tcl, CocoTB, or similar verification automation tools. What We Need Develop and own scalable verification environments for Beowulf SoC CSS, DDR, and Fabric NoC across subsystem and full-SoC levels. Write, refine, and execute test scenarios for compute operation, memory initialization and traffic, coherency, routing, ordering, QoS, power management, error handling, and data movement. Analyze coverage gaps, debug failures, drive root-cause analysis, and collaborate closely with architecture, RTL, firmware, emulation, and system teams. Drive verification planning, regression quality, coverage closure, and signoff for major SoC features. Automate verification flows using scripting, reusable infrastructure, and AI productivity tools. Mentor engineers and contribute to verification methodology and design-for-verification improvements. What You Will Learn In-depth SoC verification across compute, DDR, coherency, and Fabric NoC using modern workflows, tooling, and scripting. Integration of pre-silicon SoC verification with emulation, silicon bring-up, and platform validation strategies. How AI-driven automation reshapes modern DV workflows. Exposure to high-performance, system-level verification in advanced AI SoC designs. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
09/23/2026
Full time
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking a SoC Design Verification Engineer to lead pre-silicon verification of the Beowulf SoC, with focus on the Compute Subsystem (CSS), DDR memory subsystem, and Fabric NoC. This role will drive coverage, coherency, memory traffic, connectivity, error handling, and bring-up features critical to silicon success. This role is hybrid, based out of Boston, MA; Toronto, ON; or Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Deeply curious about SoC architecture, compute systems, DDR behavior, and Fabric NoC/interconnect verification. Expert in UVM, SystemVerilog, coverage-driven verification, assertions, and subsystem-level debug. Experienced in verifying compute subsystems, DDR controllers and PHY-facing logic, NoC/interconnect protocols, coherency, ordering, and data movement. Comfortable with reset, power management, error handling, performance, and high-concurrency system scenarios. Proactive, detail-oriented, and effective in cross-functional technical discussions. Familiar with Python, C/C++, Tcl, CocoTB, or similar verification automation tools. What We Need Develop and own scalable verification environments for Beowulf SoC CSS, DDR, and Fabric NoC across subsystem and full-SoC levels. Write, refine, and execute test scenarios for compute operation, memory initialization and traffic, coherency, routing, ordering, QoS, power management, error handling, and data movement. Analyze coverage gaps, debug failures, drive root-cause analysis, and collaborate closely with architecture, RTL, firmware, emulation, and system teams. Drive verification planning, regression quality, coverage closure, and signoff for major SoC features. Automate verification flows using scripting, reusable infrastructure, and AI productivity tools. Mentor engineers and contribute to verification methodology and design-for-verification improvements. What You Will Learn In-depth SoC verification across compute, DDR, coherency, and Fabric NoC using modern workflows, tooling, and scripting. Integration of pre-silicon SoC verification with emulation, silicon bring-up, and platform validation strategies. How AI-driven automation reshapes modern DV workflows. Exposure to high-performance, system-level verification in advanced AI SoC designs. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Job Title: Sr. Associate, Integration/Test Engineer Job Code: 44513 Job Location: Bristol, PA Job Schedule: 9/80- employees work 9 out of 14 days- totaling 80 hours- and have every other Friday off Job Description: L3Harris is looking for a Sr. Associate, Integration/Test Engineer with working knowledge of Telemetry and Radio Frequency (T&RF) technologies. Responsible for performing the integration and test of T&RF systems, ensuring electrical and physical compatibility to meet program technical, schedule and cost objectives. Integration responsibilities include development and implementation of integration plans and procedures for hardware and software. Testing responsibilities may include analyzing requirements for testability issues. Develop and implement both hardware and software system level test programs, plans, specifications, and procedures. Plan and lead test working groups, test readiness reviews. Conduct testability and producibility analyses and reviews. Essential Functions: Develop test plans and procedures based on design and program requirements. Develop, verify and validate test equipment solutions to support engineering development and production test. Responsible for supporting test technicians and engineering team with respect to troubleshooting test failures of the device under test (DUT), executing tests, proper use of electronic test equipment, or the associated electronic test equipment. Responsible for supporting Failure Review Board (FRB) and Root Cause Corrective Action (RCCA) analysis actions. Responsible for proactively supporting customer deliverable production goals. Communicates within and outside of own function to report status, roadblocks, improvement areas, support needs. Qualifications: Bachelor's Degree and minimum 2 years of prior relevant experience. Graduate Degree. In lieu of a degree, minimum of 6 years of prior related experience. Ability to obtain secret clearance. Preferred Additional Skills: Experience troubleshooting electronic hardware to the electrical component level. Experience in RF or Digital engineering troubleshooting techniques, tools, and process. Experience with high-speed digital and RF test equipment (network analyzers, spectrum analyzers, power meters, oscilloscope, logic analyzers, etc.). Highly motivated, self-starter and willing to learn. Excellent organizational skills. Strong analytical and problem-solving skills. Excellent verbal and written communication skills in a technical information environment. Prior experience in Telemetry and RF or related industry. Previous experience supporting DoD/government customers. Familiarity with LabVIEW/MATLAB/other tools for instrument control. Solid understanding of RF and electronic testing tools, equipment and techniques using high-speed digital and RF test equipment (network analyzers, spectrum analyzers, power meters, oscilloscope, logic analyzers, etc.). Supporting manufacturing production of electronic devices. Experience with OSHA requirements and ESD best practices. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $88,500 - $164,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements
09/23/2026
Full time
Job Title: Sr. Associate, Integration/Test Engineer Job Code: 44513 Job Location: Bristol, PA Job Schedule: 9/80- employees work 9 out of 14 days- totaling 80 hours- and have every other Friday off Job Description: L3Harris is looking for a Sr. Associate, Integration/Test Engineer with working knowledge of Telemetry and Radio Frequency (T&RF) technologies. Responsible for performing the integration and test of T&RF systems, ensuring electrical and physical compatibility to meet program technical, schedule and cost objectives. Integration responsibilities include development and implementation of integration plans and procedures for hardware and software. Testing responsibilities may include analyzing requirements for testability issues. Develop and implement both hardware and software system level test programs, plans, specifications, and procedures. Plan and lead test working groups, test readiness reviews. Conduct testability and producibility analyses and reviews. Essential Functions: Develop test plans and procedures based on design and program requirements. Develop, verify and validate test equipment solutions to support engineering development and production test. Responsible for supporting test technicians and engineering team with respect to troubleshooting test failures of the device under test (DUT), executing tests, proper use of electronic test equipment, or the associated electronic test equipment. Responsible for supporting Failure Review Board (FRB) and Root Cause Corrective Action (RCCA) analysis actions. Responsible for proactively supporting customer deliverable production goals. Communicates within and outside of own function to report status, roadblocks, improvement areas, support needs. Qualifications: Bachelor's Degree and minimum 2 years of prior relevant experience. Graduate Degree. In lieu of a degree, minimum of 6 years of prior related experience. Ability to obtain secret clearance. Preferred Additional Skills: Experience troubleshooting electronic hardware to the electrical component level. Experience in RF or Digital engineering troubleshooting techniques, tools, and process. Experience with high-speed digital and RF test equipment (network analyzers, spectrum analyzers, power meters, oscilloscope, logic analyzers, etc.). Highly motivated, self-starter and willing to learn. Excellent organizational skills. Strong analytical and problem-solving skills. Excellent verbal and written communication skills in a technical information environment. Prior experience in Telemetry and RF or related industry. Previous experience supporting DoD/government customers. Familiarity with LabVIEW/MATLAB/other tools for instrument control. Solid understanding of RF and electronic testing tools, equipment and techniques using high-speed digital and RF test equipment (network analyzers, spectrum analyzers, power meters, oscilloscope, logic analyzers, etc.). Supporting manufacturing production of electronic devices. Experience with OSHA requirements and ESD best practices. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $88,500 - $164,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking a SoC Design Verification Engineer to lead pre-silicon verification of the Beowulf SoC, with focus on the Compute Subsystem (CSS), DDR memory subsystem, and Fabric NoC. This role will drive coverage, coherency, memory traffic, connectivity, error handling, and bring-up features critical to silicon success. This role is hybrid, based out of Boston, MA; Toronto, ON; or Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Deeply curious about SoC architecture, compute systems, DDR behavior, and Fabric NoC/interconnect verification. Expert in UVM, SystemVerilog, coverage-driven verification, assertions, and subsystem-level debug. Experienced in verifying compute subsystems, DDR controllers and PHY-facing logic, NoC/interconnect protocols, coherency, ordering, and data movement. Comfortable with reset, power management, error handling, performance, and high-concurrency system scenarios. Proactive, detail-oriented, and effective in cross-functional technical discussions. Familiar with Python, C/C++, Tcl, CocoTB, or similar verification automation tools. What We Need Develop and own scalable verification environments for Beowulf SoC CSS, DDR, and Fabric NoC across subsystem and full-SoC levels. Write, refine, and execute test scenarios for compute operation, memory initialization and traffic, coherency, routing, ordering, QoS, power management, error handling, and data movement. Analyze coverage gaps, debug failures, drive root-cause analysis, and collaborate closely with architecture, RTL, firmware, emulation, and system teams. Drive verification planning, regression quality, coverage closure, and signoff for major SoC features. Automate verification flows using scripting, reusable infrastructure, and AI productivity tools. Mentor engineers and contribute to verification methodology and design-for-verification improvements. What You Will Learn In-depth SoC verification across compute, DDR, coherency, and Fabric NoC using modern workflows, tooling, and scripting. Integration of pre-silicon SoC verification with emulation, silicon bring-up, and platform validation strategies. How AI-driven automation reshapes modern DV workflows. Exposure to high-performance, system-level verification in advanced AI SoC designs. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
09/23/2026
Full time
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking a SoC Design Verification Engineer to lead pre-silicon verification of the Beowulf SoC, with focus on the Compute Subsystem (CSS), DDR memory subsystem, and Fabric NoC. This role will drive coverage, coherency, memory traffic, connectivity, error handling, and bring-up features critical to silicon success. This role is hybrid, based out of Boston, MA; Toronto, ON; or Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Deeply curious about SoC architecture, compute systems, DDR behavior, and Fabric NoC/interconnect verification. Expert in UVM, SystemVerilog, coverage-driven verification, assertions, and subsystem-level debug. Experienced in verifying compute subsystems, DDR controllers and PHY-facing logic, NoC/interconnect protocols, coherency, ordering, and data movement. Comfortable with reset, power management, error handling, performance, and high-concurrency system scenarios. Proactive, detail-oriented, and effective in cross-functional technical discussions. Familiar with Python, C/C++, Tcl, CocoTB, or similar verification automation tools. What We Need Develop and own scalable verification environments for Beowulf SoC CSS, DDR, and Fabric NoC across subsystem and full-SoC levels. Write, refine, and execute test scenarios for compute operation, memory initialization and traffic, coherency, routing, ordering, QoS, power management, error handling, and data movement. Analyze coverage gaps, debug failures, drive root-cause analysis, and collaborate closely with architecture, RTL, firmware, emulation, and system teams. Drive verification planning, regression quality, coverage closure, and signoff for major SoC features. Automate verification flows using scripting, reusable infrastructure, and AI productivity tools. Mentor engineers and contribute to verification methodology and design-for-verification improvements. What You Will Learn In-depth SoC verification across compute, DDR, coherency, and Fabric NoC using modern workflows, tooling, and scripting. Integration of pre-silicon SoC verification with emulation, silicon bring-up, and platform validation strategies. How AI-driven automation reshapes modern DV workflows. Exposure to high-performance, system-level verification in advanced AI SoC designs. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
