Date Posted: 2026-08-17 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 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 At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings 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. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our Senior Principal Embedded Real-Time Software Developer/Integrator is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware. Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality. Teaching, coaching, and mentoring less experienced staff. Contributing to proposals as well as preliminary and critical design reviews. Ability to obtain program access. What You Will Learn Working across a product line in collaboration with other teams. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.) Experience developing complex systems involving the integration of hardware, firmware, and software Ability to obtain Interim Secret Level U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Familiarity with rate monotonic theory, practice, and limitations. Familiarity with layered architectural principles, and their limitations. Familiarity with reading electrical schematics and relating it to software function. Familiarity with reading firmware source like VHDL or Verilog. Familiarity with assembly language in at least one processor/controller family. Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers. Experience with developing device drivers for bare-metal and/or OS applications. Experience leading engineering teams in delivering systems (of various size) involving the integration of hardware and software. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On 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. Clearance Information: 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: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": 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 132,400 USD - 251,600 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 . click apply for full job details
11/05/2026
Full time
Date Posted: 2026-08-17 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 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 At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings 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. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our Senior Principal Embedded Real-Time Software Developer/Integrator is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware. Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality. Teaching, coaching, and mentoring less experienced staff. Contributing to proposals as well as preliminary and critical design reviews. Ability to obtain program access. What You Will Learn Working across a product line in collaboration with other teams. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.) Experience developing complex systems involving the integration of hardware, firmware, and software Ability to obtain Interim Secret Level U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Familiarity with rate monotonic theory, practice, and limitations. Familiarity with layered architectural principles, and their limitations. Familiarity with reading electrical schematics and relating it to software function. Familiarity with reading firmware source like VHDL or Verilog. Familiarity with assembly language in at least one processor/controller family. Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers. Experience with developing device drivers for bare-metal and/or OS applications. Experience leading engineering teams in delivering systems (of various size) involving the integration of hardware and software. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On 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. Clearance Information: 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: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": 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 132,400 USD - 251,600 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 . click apply for full job details
Job Description Job Description Who we are Zus Health is an AI-native healthcare data platform that brings fragmented patient information together to make it complete, current, and actionable. Through our nationwide data network, platform, and intelligent workflows, we help providers, value-based care organizations, payers, life sciences, and digital health companies drive business results, strengthen provider trust, and improve operational efficiency. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus is building the foundation for a more connected, precise, and effective healthcare system. What we're looking for Zus is hiring a Staff/Principal AI/ML Engineer to define how LLMs and AI agents power our products and the AI platform underneath them. You'll be one of the most seasoned AI/ML voices in the building, with real ownership of architecture, tooling and roadmap. Zus aggregates clinical data from across the healthcare ecosystem. That data is messy, multi-modal and enormously valuable. Modern foundation models finally make it possible to turn it into structured, trustworthy insight at the point of care and across populations. Your job is to make that happen, safely and at scale. This is a hands-on role. You'll write production code, ship prototypes to real users, set technical direction, and mentor the engineers who build alongside you. This work will require interactions with solution engineers, product managers, sales, and marketing. As part of our team, you will Architect our LLM platform. Design the shared infrastructure every AI feature at Zus runs on: model gateway and routing across frontier and open-weight models, prompt and version management, caching, cost and latency controls, and PHI-safe guardrails. Build agentic systems. Ship tool-using agents that reason over a patient's longitudinal record by summarizing histories, reconciling medications, surfacing care gaps and answering clinician questions with cited evidence. Use patterns like MCP servers, function calling and multi-step planning. Own retrieval over clinical data. Build RAG and hybrid search over FHIR resources and unstructured notes: chunking and embedding strategies for clinical text, vector and graph retrieval, reranking, and grounding so every answer traces back to its source document. Make evaluation a first-class system. Stand up offline and online evals: golden datasets with clinical reviewers, LLM-as-judge pipelines, regression suites in CI, and production monitoring for hallucination, drift and safety. Adapt models when prompting isn't enough. Fine-tune and distill (LoRA/PEFT, SFT, preference optimization) for clinical extraction, coding and normalization tasks where smaller, cheaper, specialized models win. Run AI/ML in production. Build CI/CD for models and prompts, inference serving, observability and human-in-the-loop feedback loops that turn user corrections into better models. Prototype with users. Work directly with providers, product managers and engineers to find high-leverage problems, ship prototypes fast, and iterate on real usage. Set the bar. Lead design reviews, write the docs and standards others build on, mentor engineers, and keep Zus current as the AI landscape moves. What you bring 7+ years building and shipping AI/ML systems, including 2+ years putting LLM-powered products into production for real users. Hands-on depth in modern LLM engineering: RAG, agents and tool use, structured outputs, prompt and context engineering, and the trade-offs between frontier APIs and open-weight models. A track record of building ML infrastructure others depend on - serving, pipelines, model and prompt versioning, CI/CD, monitoring. A rigorous approach to evaluation: you've designed eval sets and metrics, and you don't ship on vibes. Strong Python and software engineering fundamentals; fluency in PyTorch and the Hugging Face ecosystem. Production experience on a major cloud (AWS preferred) with containers, and infrastructure as code. Sound judgment about safety, privacy and reliability when models touch sensitive data. Clear writing and communication; you can explain model behavior and risk to clinicians, product leaders and executives. BS in Computer Science, Statistics or a related field, or equivalent experience. Are in the Boston metro and excited to collaborate in person on a hybrid schedule, or are remote (EST/CST) but willing to travel for in person collaboration occasionally. Bonus points Healthcare or clinical NLP experience, especially with FHIR, C-CDA, clinical terminologies or HIPAA-regulated data. Fine-tuning, distillation or preference optimization of LLMs at meaningful scale. Built MCP servers or multi-agent systems used in production. Inference optimization: quantization, speculative decoding, batching, GPU cost management. Designed and executed pre-training of transformer models. Open-source contributions, publications or talks in ML, NLP or LLM systems. Experience as the first or founding ML engineer at a growth-stage company. MS or PhD in a quantitative field. We will offer you Competitive compensation that reflects the value you bring to the team a combination of cash and equity Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it) Please Note: Research shows that candidates from underrepresented backgrounds often don't apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we aren't looking for someone who checks each box on a page; we're looking for active learners and people who care about disrupting the current healthcare system with their unique experiences. We do not conduct interviews by text nor will we send you a job offer unless you've interviewed with multiple people, including the Director of People & Talent, over video interviews. Job scams do exist so please be careful with your personal information. Compensation Range: $190K - $250K
11/04/2026
Full time
Job Description Job Description Who we are Zus Health is an AI-native healthcare data platform that brings fragmented patient information together to make it complete, current, and actionable. Through our nationwide data network, platform, and intelligent workflows, we help providers, value-based care organizations, payers, life sciences, and digital health companies drive business results, strengthen provider trust, and improve operational efficiency. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus is building the foundation for a more connected, precise, and effective healthcare system. What we're looking for Zus is hiring a Staff/Principal AI/ML Engineer to define how LLMs and AI agents power our products and the AI platform underneath them. You'll be one of the most seasoned AI/ML voices in the building, with real ownership of architecture, tooling and roadmap. Zus aggregates clinical data from across the healthcare ecosystem. That data is messy, multi-modal and enormously valuable. Modern foundation models finally make it possible to turn it into structured, trustworthy insight at the point of care and across populations. Your job is to make that happen, safely and at scale. This is a hands-on role. You'll write production code, ship prototypes to real users, set technical direction, and mentor the engineers who build alongside you. This work will require interactions with solution engineers, product managers, sales, and marketing. As part of our team, you will Architect our LLM platform. Design the shared infrastructure every AI feature at Zus runs on: model gateway and routing across frontier and open-weight models, prompt and version management, caching, cost and latency controls, and PHI-safe guardrails. Build agentic systems. Ship tool-using agents that reason over a patient's longitudinal record by summarizing histories, reconciling medications, surfacing care gaps and answering clinician questions with cited evidence. Use patterns like MCP servers, function calling and multi-step planning. Own retrieval over clinical data. Build RAG and hybrid search over FHIR resources and unstructured notes: chunking and embedding strategies for clinical text, vector and graph retrieval, reranking, and grounding so every answer traces back to its source document. Make evaluation a first-class system. Stand up offline and online evals: golden datasets with clinical reviewers, LLM-as-judge pipelines, regression suites in CI, and production monitoring for hallucination, drift and safety. Adapt models when prompting isn't enough. Fine-tune and distill (LoRA/PEFT, SFT, preference optimization) for clinical extraction, coding and normalization tasks where smaller, cheaper, specialized models win. Run AI/ML in production. Build CI/CD for models and prompts, inference serving, observability and human-in-the-loop feedback loops that turn user corrections into better models. Prototype with users. Work directly with providers, product managers and engineers to find high-leverage problems, ship prototypes fast, and iterate on real usage. Set the bar. Lead design reviews, write the docs and standards others build on, mentor engineers, and keep Zus current as the AI landscape moves. What you bring 7+ years building and shipping AI/ML systems, including 2+ years putting LLM-powered products into production for real users. Hands-on depth in modern LLM engineering: RAG, agents and tool use, structured outputs, prompt and context engineering, and the trade-offs between frontier APIs and open-weight models. A track record of building ML infrastructure others depend on - serving, pipelines, model and prompt versioning, CI/CD, monitoring. A rigorous approach to evaluation: you've designed eval sets and metrics, and you don't ship on vibes. Strong Python and software engineering fundamentals; fluency in PyTorch and the Hugging Face ecosystem. Production experience on a major cloud (AWS preferred) with containers, and infrastructure as code. Sound judgment about safety, privacy and reliability when models touch sensitive data. Clear writing and communication; you can explain model behavior and risk to clinicians, product leaders and executives. BS in Computer Science, Statistics or a related field, or equivalent experience. Are in the Boston metro and excited to collaborate in person on a hybrid schedule, or are remote (EST/CST) but willing to travel for in person collaboration occasionally. Bonus points Healthcare or clinical NLP experience, especially with FHIR, C-CDA, clinical terminologies or HIPAA-regulated data. Fine-tuning, distillation or preference optimization of LLMs at meaningful scale. Built MCP servers or multi-agent systems used in production. Inference optimization: quantization, speculative decoding, batching, GPU cost management. Designed and executed pre-training of transformer models. Open-source contributions, publications or talks in ML, NLP or LLM systems. Experience as the first or founding ML engineer at a growth-stage company. MS or PhD in a quantitative field. We will offer you Competitive compensation that reflects the value you bring to the team a combination of cash and equity Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it) Please Note: Research shows that candidates from underrepresented backgrounds often don't apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we aren't looking for someone who checks each box on a page; we're looking for active learners and people who care about disrupting the current healthcare system with their unique experiences. We do not conduct interviews by text nor will we send you a job offer unless you've interviewed with multiple people, including the Director of People & Talent, over video interviews. Job scams do exist so please be careful with your personal information. Compensation Range: $190K - $250K
Job Description Job Description The future of aerospace and defense starts here. Ursa Major was founded to revolutionize how America and its allies access and apply high-performance propulsion, from hypersonics to solid rocket motors, satellite maneuvering and launch. We design and deliver propulsion and defense systems that solve the most urgent and critical national security demands. Ursa Major is bringing a new model to propulsion and defense technology: one where performance and access are no longer constrained by legacy systems. We design, build, and deploy advanced propulsion systems that power national security missions, hypersonic capabilities, and the future of space access. Our mission requires an extraordinary team-one that will mold tomorrow's critical technologies while deploying today's best. We are an intrinsically motivated team with a passion for solving complex technical problems and empowering each other every day, knowing that there is always room for growth. As a Principal DevOps Engineer within our Digital Operations team, you won't just be managing servers or responding to deployment tickets. You will be a principal technical leader and system architect responsible for owning and shaping Ursa Major's platform engineering, infrastructure automation, and software deployment strategies across cloud, on-premise, and manufacturing environments. Sitting at the vital intersection of Software Engineering, IT, Zero-Trust Networking, Digital Manufacturing, and Cybersecurity, you will build the foundational platforms that empower our engineering and manufacturing teams to design, test, and deliver mission-critical systems faster and more reliably. As Ursa Major expands, you will decompose complex technical challenges, author clear architecture designs, and drive pragmatic, high-impact solutions that connect our cloud environments directly to physical manufacturing and test-bench hardware. Responsibilities: Platform Architecture & Developer Experience Lead the research, design, and continuous improvement of platform infrastructure, software deployment, and Developer Experience (DX) across the enterprise. Decompose complex infrastructure problems into maintainable systems; author clear technical design documents and lead cross-functional teams through execution. Act as a strategic connector between Software Engineering, IT, and Networking to unify tooling, share infrastructure patterns, and eliminate operational silos. Infrastructure-as-Code (IaC), GitOps & High Availability (HA) Advance our declarative Infrastructure-as-Code (IaC) and GitOps practices (using Terraform, Helm, and ArgoCD/Flux) to deliver fully automated, drift-free application lifecycles across Azure GovCloud and AWS GovCloud. Extend containerization and orchestration (Kubernetes, Docker) beyond cloud environments into on-premise test benches, shop-floor PCs, and edge manufacturing hardware in alignment with our CMMC Level 2 hybrid strategy. Own Disaster Recovery (DR) and Business Continuity (BC) architecture-maintaining automated backup and failover capabilities that keep critical system recovery times measured in minutes, not days. DevSecOps & AI Pipeline Integration Partner with Cybersecurity and Zero-Trust teams to integrate automated vulnerability scanning, secrets management, and policy-as-code guardrails directly into CI/CD workflows without introducing developer friction. Architect and support automated pipelines for hosted and private AI models, enabling software and engineering teams to leverage high-throughput AI capabilities safely within our secure compliance boundary. Maintain continuous telemetry, metrics, and alerting frameworks (Prometheus, Grafana) to give engineers real-time visibility into application performance and pipeline health. Leadership, Mentorship & Impact Frame all technical initiatives in terms of maximum impact on overall business health, execution speed, and system reliability. Mentor and elevate engineers across the software and IT organizations, fostering a culture of analytical, value-driven problem-solving. Function as a top-level technical decision-maker, managing high-ambiguity challenges with high autonomy while maintaining psychological safety and clear standards of excellence Minimum Qualifications: 8+ years of professional DevOps, SRE, or Infrastructure/Platform Engineering experience, with a proven track record of principal-level technical leadership and system architecture. Hands-on mastery of Azure GovCloud and/or AWS GovCloud environments, with deep expertise in VPC networking, IAM, and cloud-native security controls. Advanced proficiency in Terraform, Docker, Kubernetes, Helm, and continuous delivery via GitOps patterns (ArgoCD, GitHub Actions, or Flux). Direct experience architecting high-availability systems, automated DR solutions, and telemetry suites (Prometheus, Grafana). Practical experience configuring automated container/code and centralized secrets management (AWS/Azure Key Vaults, HashiCorp Vault). Experience automating, deploying, or supporting hosted AI model integrations within production CI/CD pipelines. A proactive problem solver who builds trust across teams, rejects black-and-white thinking, and focuses on enabling business outcomes. Preferred Qualifications: Familiarity with NIST SP 800-171 / CMMC Level 2 compliance standards and securing CUI data flows. Experience with Artifactory, SonarQube, Open Policy Agent (OPA), Kyverno, or automated Software Bill of Materials (SBOM) tooling. Experience automating physical hardware, edge nodes, or shop-floor environments using Packer, Ansible, K3s, or Rancher. Experience orchestrating self-hosted or private AI model execution frameworks. Ability to obtain and maintain a U.S. Government Security Clearance. Colorado law requires us to tell you the base compensation range of this role, which is $175,000 - $215,000, determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we are evaluating individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you and see if you are a great fit for our team. What we can't quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. Classification: Full-Time, Exempt Benefits Include: (Please note, Interns are not eligible for benefits) Unlimited PTO - Vacation, Sick, Personal, and Bereavement Paid Parental and Adoptive Leave Medical, Dental and Vision Insurance Tax Advantage Accounts (HSA/FSA) Employer Paid Short and Long Term Disability, Basic Life, AD&D Additional Benefit Options Including Voluntary Life and Emergency Medical Transport EAP Program Retirement Savings Plan - 401k with Company Match How To Apply: Interested candidates are encouraged to apply by filling out the application below and clicking "Submit Application". This position will be posted for a minimum of 3 days and will remain open until filled or adjusted based on the volume of applicants. NOTE: Research suggests that women and BIPOC individuals may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage anyone who believes they have the skills and the drive necessary to succeed here to apply for this role. Must be a U.S. Person (this includes U.S. Citizens and Permanent Residents). Eligibility to obtain and maintain a U.S. Security Clearance. We're an equal-opportunity employer. You will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. No outside recruiters, please.
11/02/2026
Full time
Job Description Job Description The future of aerospace and defense starts here. Ursa Major was founded to revolutionize how America and its allies access and apply high-performance propulsion, from hypersonics to solid rocket motors, satellite maneuvering and launch. We design and deliver propulsion and defense systems that solve the most urgent and critical national security demands. Ursa Major is bringing a new model to propulsion and defense technology: one where performance and access are no longer constrained by legacy systems. We design, build, and deploy advanced propulsion systems that power national security missions, hypersonic capabilities, and the future of space access. Our mission requires an extraordinary team-one that will mold tomorrow's critical technologies while deploying today's best. We are an intrinsically motivated team with a passion for solving complex technical problems and empowering each other every day, knowing that there is always room for growth. As a Principal DevOps Engineer within our Digital Operations team, you won't just be managing servers or responding to deployment tickets. You will be a principal technical leader and system architect responsible for owning and shaping Ursa Major's platform engineering, infrastructure automation, and software deployment strategies across cloud, on-premise, and manufacturing environments. Sitting at the vital intersection of Software Engineering, IT, Zero-Trust Networking, Digital Manufacturing, and Cybersecurity, you will build the foundational platforms that empower our engineering and manufacturing teams to design, test, and deliver mission-critical systems faster and more reliably. As Ursa Major expands, you will decompose complex technical challenges, author clear architecture designs, and drive pragmatic, high-impact solutions that connect our cloud environments directly to physical manufacturing and test-bench hardware. Responsibilities: Platform Architecture & Developer Experience Lead the research, design, and continuous improvement of platform infrastructure, software deployment, and Developer Experience (DX) across the enterprise. Decompose complex infrastructure problems into maintainable systems; author clear technical design documents and lead cross-functional teams through execution. Act as a strategic connector between Software Engineering, IT, and Networking to unify tooling, share infrastructure patterns, and eliminate operational silos. Infrastructure-as-Code (IaC), GitOps & High Availability (HA) Advance our declarative Infrastructure-as-Code (IaC) and GitOps practices (using Terraform, Helm, and ArgoCD/Flux) to deliver fully automated, drift-free application lifecycles across Azure GovCloud and AWS GovCloud. Extend containerization and orchestration (Kubernetes, Docker) beyond cloud environments into on-premise test benches, shop-floor PCs, and edge manufacturing hardware in alignment with our CMMC Level 2 hybrid strategy. Own Disaster Recovery (DR) and Business Continuity (BC) architecture-maintaining automated backup and failover capabilities that keep critical system recovery times measured in minutes, not days. DevSecOps & AI Pipeline Integration Partner with Cybersecurity and Zero-Trust teams to integrate automated vulnerability scanning, secrets management, and policy-as-code guardrails directly into CI/CD workflows without introducing developer friction. Architect and support automated pipelines for hosted and private AI models, enabling software and engineering teams to leverage high-throughput AI capabilities safely within our secure compliance boundary. Maintain continuous telemetry, metrics, and alerting frameworks (Prometheus, Grafana) to give engineers real-time visibility into application performance and pipeline health. Leadership, Mentorship & Impact Frame all technical initiatives in terms of maximum impact on overall business health, execution speed, and system reliability. Mentor and elevate engineers across the software and IT organizations, fostering a culture of analytical, value-driven problem-solving. Function as a top-level technical decision-maker, managing high-ambiguity challenges with high autonomy while maintaining psychological safety and clear standards of excellence Minimum Qualifications: 8+ years of professional DevOps, SRE, or Infrastructure/Platform Engineering experience, with a proven track record of principal-level technical leadership and system architecture. Hands-on mastery of Azure GovCloud and/or AWS GovCloud environments, with deep expertise in VPC networking, IAM, and cloud-native security controls. Advanced proficiency in Terraform, Docker, Kubernetes, Helm, and continuous delivery via GitOps patterns (ArgoCD, GitHub Actions, or Flux). Direct experience architecting high-availability systems, automated DR solutions, and telemetry suites (Prometheus, Grafana). Practical experience configuring automated container/code and centralized secrets management (AWS/Azure Key Vaults, HashiCorp Vault). Experience automating, deploying, or supporting hosted AI model integrations within production CI/CD pipelines. A proactive problem solver who builds trust across teams, rejects black-and-white thinking, and focuses on enabling business outcomes. Preferred Qualifications: Familiarity with NIST SP 800-171 / CMMC Level 2 compliance standards and securing CUI data flows. Experience with Artifactory, SonarQube, Open Policy Agent (OPA), Kyverno, or automated Software Bill of Materials (SBOM) tooling. Experience automating physical hardware, edge nodes, or shop-floor environments using Packer, Ansible, K3s, or Rancher. Experience orchestrating self-hosted or private AI model execution frameworks. Ability to obtain and maintain a U.S. Government Security Clearance. Colorado law requires us to tell you the base compensation range of this role, which is $175,000 - $215,000, determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we are evaluating individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you and see if you are a great fit for our team. What we can't quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. Classification: Full-Time, Exempt Benefits Include: (Please note, Interns are not eligible for benefits) Unlimited PTO - Vacation, Sick, Personal, and Bereavement Paid Parental and Adoptive Leave Medical, Dental and Vision Insurance Tax Advantage Accounts (HSA/FSA) Employer Paid Short and Long Term Disability, Basic Life, AD&D Additional Benefit Options Including Voluntary Life and Emergency Medical Transport EAP Program Retirement Savings Plan - 401k with Company Match How To Apply: Interested candidates are encouraged to apply by filling out the application below and clicking "Submit Application". This position will be posted for a minimum of 3 days and will remain open until filled or adjusted based on the volume of applicants. NOTE: Research suggests that women and BIPOC individuals may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage anyone who believes they have the skills and the drive necessary to succeed here to apply for this role. Must be a U.S. Person (this includes U.S. Citizens and Permanent Residents). Eligibility to obtain and maintain a U.S. Security Clearance. We're an equal-opportunity employer. You will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. No outside recruiters, please.
Date Posted: 2026-11-03 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 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 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings 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. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. We're looking for Sr. Principal Systems Engineer - Signal and Sensor Modeling Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Sr. Principal Systems Engineer - Signal and Sensor Modeling Engineer, you will work on a close-knit team to create advanced, physics-based modeling solutions in the DoD Space. You will develop key technologies in the EO/IR/RF domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow's artificial intelligence algorithms and hardware solutions. You will deploy cutting-edge technologies, leverage your software development skills and collaborate with your Signal and Sensor Modeling peers. This is an Onsite role in Tucson, AZ. What You Will Do You will champion novel solutions for advanced modeling techniques. You will develop new C++ models in an extensible and maintainable fashion. You will deploy EO or RF phenomenology and advanced physics principles in a software implementation. You will enable our customer's success through adoption and utilization of modeling solutions. You will work efficiently inside an established software product, across programming languages, and build environments. You will research and develop novel EO or RF modeling solutions. You will coordinate with multiple development teams to prioritize and solve complex software and physics problems. You will mentor and share EO or RF expertise with your team. Qualifications You Must Have Typically requires a degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 10 years of prior relevant experience Experience applying object-oriented software design in C++, C, and using MATLAB or Python for evaluation of data sets Experience with UNIX/Linux or Apple OS or Windows DOS command line Experience in electro-optics or in radar processing, Imaging EO/IR/RF systems, energy transport, radar physics, signal processing and/or discrimination algorithms Ability to obtain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Advanced Degree in Engineering, Science, Mathematics, or related STEM degree Experience with OpenGL, CUDA, or other GPU accelerated languages/architectures and Scene Generation/Sensor Modeling technologies Experience with electronic warfare modeling, developing signal processing algorithms for missile applications, signal & image processing, digital communications, or estimation theory, or AI/ML and training techniques Experience with Real-time Programming, software change management tools and processes, using and augmenting Build Systems (Make/CMake), and working with large production software environment Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering) What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible - relocation assistance available for this position 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. This position requires onsite work in Tucson, AZ: ,-az-location 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 132,400 USD - 251,600 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
11/01/2026
Full time
Date Posted: 2026-11-03 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 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 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings 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. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. We're looking for Sr. Principal Systems Engineer - Signal and Sensor Modeling Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Sr. Principal Systems Engineer - Signal and Sensor Modeling Engineer, you will work on a close-knit team to create advanced, physics-based modeling solutions in the DoD Space. You will develop key technologies in the EO/IR/RF domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow's artificial intelligence algorithms and hardware solutions. You will deploy cutting-edge technologies, leverage your software development skills and collaborate with your Signal and Sensor Modeling peers. This is an Onsite role in Tucson, AZ. What You Will Do You will champion novel solutions for advanced modeling techniques. You will develop new C++ models in an extensible and maintainable fashion. You will deploy EO or RF phenomenology and advanced physics principles in a software implementation. You will enable our customer's success through adoption and utilization of modeling solutions. You will work efficiently inside an established software product, across programming languages, and build environments. You will research and develop novel EO or RF modeling solutions. You will coordinate with multiple development teams to prioritize and solve complex software and physics problems. You will mentor and share EO or RF expertise with your team. Qualifications You Must Have Typically requires a degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 10 years of prior relevant experience Experience applying object-oriented software design in C++, C, and using MATLAB or Python for evaluation of data sets Experience with UNIX/Linux or Apple OS or Windows DOS command line Experience in electro-optics or in radar processing, Imaging EO/IR/RF systems, energy transport, radar physics, signal processing and/or discrimination algorithms Ability to obtain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Advanced Degree in Engineering, Science, Mathematics, or related STEM degree Experience with OpenGL, CUDA, or other GPU accelerated languages/architectures and Scene Generation/Sensor Modeling technologies Experience with electronic warfare modeling, developing signal processing algorithms for missile applications, signal & image processing, digital communications, or estimation theory, or AI/ML and training techniques Experience with Real-time Programming, software change management tools and processes, using and augmenting Build Systems (Make/CMake), and working with large production software environment Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering) What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible - relocation assistance available for this position 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. This position requires onsite work in Tucson, AZ: ,-az-location 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 132,400 USD - 251,600 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
Overview At Credence, we support our clients' mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for warfighters and secure our nation for a better future. We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success. Credence has an immediate opening for a B-2 Systems Engineer (WBZ)at the principal level to support the B-2 Division who is responsible for the modernization, test, production, fielding and sustainment of B-2 aircraft and related systems. The B-2 is a high demand, low density fleet that is 20+ years old, is undergoing numerous concurrent acquisitions to solve obsolescence issues, and delivers critical aerial denial/anti-access and nuclear capabilities at Tinker AFB, OK. Responsibilities include, but are not limited to the duties listed below: The B-2 Systems Engineer Principal shall support the institution of a collaborative process bridging warfighter (sponsor) identified capability needs (requirements) to planning for the acquisition of materiel solutions which satisfy the need. This support shall include researching program information, providing systems engineering insight, conducting analyses, and briefing preparation. Support interfaces and processes with development planning, technology, intelligence, acquisition, sustainment, and user communities. Independently apply knowledge and experience to the scope of enterprise activities which spans requirements/acquisition and sustainment and includes understanding doctrine, assisting in identifying and defining requirements, developing horizontally integrated acquisition, sustainment, and investment strategies, integration of technologies, integration of intelligence, and development of sustainment strategies. Capability requirements and option sets will be architecture-based to ensure the necessary interoperability and appropriate linkages to other capabilities. The integrated option sets developed may cut across multiple platforms, programs, and phases as well as across multiple enterprises. Support development of strategies for crosscutting capability requirements. The Contractor shall assist with initiating, writing, reviewing, developing and implementing documentation including but not limited to TEMPs, SEPs, RFPs, SOOs, test plans, LCMP, Pre-Milestone A and Pre-Milestone B documentation as appropriate. Provide technical support to Systems Engineering Technical Reviews (SETR), including but not limited to IBR, SRR, SFR, PDR, CDR, FCA, SVR, PCA and TRRs. Support includes rigorous technical review of SETR deliverables, assessment of design maturity against satisfying SETR entrance/exit criteria, and technical recommendations to the program manager, lead engineer and chief engineer. Prepare Airworthiness Plans, Certification Basis, Compliance Reports, Military Flight Releases, and Military Type Certificates and brief Airworthiness documents through board reviews and to the Delegated Technical Authority/Technical Airworthiness Authority. Develop action plans to resolve Deficiency Reports (DRs) and brief action plans at review boards and at the MIPRB to the Chief Engineer. Develop action plans to resolve system safety risks, develop Safety Action Records (SARs), develop System Safety Risk Assessments (SSRAs) and brief action plans at review boards, System Safety Working Group (SSWG), System Safety Group (SSG) and to the Chief Engineer and System Program Manager. Develop Operational Safety, Suitability and Effectiveness (OSS&E) documents and brief OSS&E documents at review boards and to the Chief Engineer and System Program Manager. Prepare Permanent, T1, and T2 modification packages and brief through board reviews and up to the Chief Engineer and System Program Manager. Provide technical support to software reviews, including but not limited to Integrated Functional Capability (IFC) Readiness Assessments (IRAs), IFC TRRs, IFC Demos, and IFC Fielding Recommendations. Support the identification, assessment, and analysis of the future capability solution sets required to support capability requirements. These activities will be critical subject areas during reviews including but not limited to program reviews and IBRs. Assist in reviewing systems engineering initiatives brought about by policy changes to buying commercial items (such as acquisition of non-destructive inspection, commercial-off-the-shelf items, and FAA-certified items) and commercial practices (e.g., performance-based business environment). Assist in managing capability and systems engineering studies that involve multiple divisions. Assist in communicating system engineering solutions, risk analysis, and future solutions within the AFLCMC to include programs as well as MAJCOMs, other enterprises, and the Air Staff. Assist in transition of programs into and the termination of programs out of the B-2 Division for use in the field enhancing warfighter capabilities. Planning across family of systems and system of systems especially in the development of capability manager strategies (e.g. spectrum battle management and Joint All Domain Command and Control systems). Support the development, improvement, and administration technology processes to include applied technology councils, small business innovative research, and/or other initiatives to identify, assess, and submit proposals to the technology community to pursue further. Assist with reviewing planning documents (e.g., Mission Need Statement, Operational Requirements Document, ICD, CDD, or CPD) for realistic industrial base execution. The Contractor shall assist in promoting the use of MS&A throughout the acquisition life cycle process and foster the development and maintenance of common use M&SA tools useful to the Government and industry. Shall assist in integration of intelligence information and infrastructure to ensure cross-enterprise capabilities planning and system acquisition. Provide a wide range of recommended solution sets for capabilities integration planning. The Contractor shall organize large and small group briefings for discussions gaining cross Divisional engineering expertise. Requirements Must have a Top-Secret clearance with the ability to be read onto SCI. ABET accredited Master's or Doctoral Degree in a related field and a minimum of twenty (20) years of experience in the respective technical/professional discipline being performed, at least twelve (12) years of which must be in the DoW/DoD; OR ABET accredited Bachelor's Degree in a related field and a minimum of twenty-five (25) years of experience in the respective technical/professional discipline being performed, at least fifteen (15) years of which must be in the DoW/DoD; Personnel fulfilling the identified requirement positions shall possess a current collateral Secret or Top-Secret clearance as specified in the DD Form 254 for this task order, the LOE Matrix, and the PWS for WBN, WBD, WAO, WAX, WAV, WBZ, OZJ, AF/IO, and JPO support unless otherwise stated. Regardless of clearance level, personnel shall maintain their required clearance throughout the contract period of performance to provide support for multiple tasks and meetings at various classification levels. The Government will assist the candidate with attaining access to classified facilities as required. To fill engineering positions, it is required that the Contractor have successfully completed an undergraduate degree with a major in engineering from a college or university with an Accreditation Board of Engineering and Technology (ABET) accredited engineering program(s) for the degree requirements of the position (e.g. electrical, mechanical, aerospace). Degrees in engineering technology are not considered to be qualifying for these positions. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development
11/01/2026
Full time
Overview At Credence, we support our clients' mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for warfighters and secure our nation for a better future. We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success. Credence has an immediate opening for a B-2 Systems Engineer (WBZ)at the principal level to support the B-2 Division who is responsible for the modernization, test, production, fielding and sustainment of B-2 aircraft and related systems. The B-2 is a high demand, low density fleet that is 20+ years old, is undergoing numerous concurrent acquisitions to solve obsolescence issues, and delivers critical aerial denial/anti-access and nuclear capabilities at Tinker AFB, OK. Responsibilities include, but are not limited to the duties listed below: The B-2 Systems Engineer Principal shall support the institution of a collaborative process bridging warfighter (sponsor) identified capability needs (requirements) to planning for the acquisition of materiel solutions which satisfy the need. This support shall include researching program information, providing systems engineering insight, conducting analyses, and briefing preparation. Support interfaces and processes with development planning, technology, intelligence, acquisition, sustainment, and user communities. Independently apply knowledge and experience to the scope of enterprise activities which spans requirements/acquisition and sustainment and includes understanding doctrine, assisting in identifying and defining requirements, developing horizontally integrated acquisition, sustainment, and investment strategies, integration of technologies, integration of intelligence, and development of sustainment strategies. Capability requirements and option sets will be architecture-based to ensure the necessary interoperability and appropriate linkages to other capabilities. The integrated option sets developed may cut across multiple platforms, programs, and phases as well as across multiple enterprises. Support development of strategies for crosscutting capability requirements. The Contractor shall assist with initiating, writing, reviewing, developing and implementing documentation including but not limited to TEMPs, SEPs, RFPs, SOOs, test plans, LCMP, Pre-Milestone A and Pre-Milestone B documentation as appropriate. Provide technical support to Systems Engineering Technical Reviews (SETR), including but not limited to IBR, SRR, SFR, PDR, CDR, FCA, SVR, PCA and TRRs. Support includes rigorous technical review of SETR deliverables, assessment of design maturity against satisfying SETR entrance/exit criteria, and technical recommendations to the program manager, lead engineer and chief engineer. Prepare Airworthiness Plans, Certification Basis, Compliance Reports, Military Flight Releases, and Military Type Certificates and brief Airworthiness documents through board reviews and to the Delegated Technical Authority/Technical Airworthiness Authority. Develop action plans to resolve Deficiency Reports (DRs) and brief action plans at review boards and at the MIPRB to the Chief Engineer. Develop action plans to resolve system safety risks, develop Safety Action Records (SARs), develop System Safety Risk Assessments (SSRAs) and brief action plans at review boards, System Safety Working Group (SSWG), System Safety Group (SSG) and to the Chief Engineer and System Program Manager. Develop Operational Safety, Suitability and Effectiveness (OSS&E) documents and brief OSS&E documents at review boards and to the Chief Engineer and System Program Manager. Prepare Permanent, T1, and T2 modification packages and brief through board reviews and up to the Chief Engineer and System Program Manager. Provide technical support to software reviews, including but not limited to Integrated Functional Capability (IFC) Readiness Assessments (IRAs), IFC TRRs, IFC Demos, and IFC Fielding Recommendations. Support the identification, assessment, and analysis of the future capability solution sets required to support capability requirements. These activities will be critical subject areas during reviews including but not limited to program reviews and IBRs. Assist in reviewing systems engineering initiatives brought about by policy changes to buying commercial items (such as acquisition of non-destructive inspection, commercial-off-the-shelf items, and FAA-certified items) and commercial practices (e.g., performance-based business environment). Assist in managing capability and systems engineering studies that involve multiple divisions. Assist in communicating system engineering solutions, risk analysis, and future solutions within the AFLCMC to include programs as well as MAJCOMs, other enterprises, and the Air Staff. Assist in transition of programs into and the termination of programs out of the B-2 Division for use in the field enhancing warfighter capabilities. Planning across family of systems and system of systems especially in the development of capability manager strategies (e.g. spectrum battle management and Joint All Domain Command and Control systems). Support the development, improvement, and administration technology processes to include applied technology councils, small business innovative research, and/or other initiatives to identify, assess, and submit proposals to the technology community to pursue further. Assist with reviewing planning documents (e.g., Mission Need Statement, Operational Requirements Document, ICD, CDD, or CPD) for realistic industrial base execution. The Contractor shall assist in promoting the use of MS&A throughout the acquisition life cycle process and foster the development and maintenance of common use M&SA tools useful to the Government and industry. Shall assist in integration of intelligence information and infrastructure to ensure cross-enterprise capabilities planning and system acquisition. Provide a wide range of recommended solution sets for capabilities integration planning. The Contractor shall organize large and small group briefings for discussions gaining cross Divisional engineering expertise. Requirements Must have a Top-Secret clearance with the ability to be read onto SCI. ABET accredited Master's or Doctoral Degree in a related field and a minimum of twenty (20) years of experience in the respective technical/professional discipline being performed, at least twelve (12) years of which must be in the DoW/DoD; OR ABET accredited Bachelor's Degree in a related field and a minimum of twenty-five (25) years of experience in the respective technical/professional discipline being performed, at least fifteen (15) years of which must be in the DoW/DoD; Personnel fulfilling the identified requirement positions shall possess a current collateral Secret or Top-Secret clearance as specified in the DD Form 254 for this task order, the LOE Matrix, and the PWS for WBN, WBD, WAO, WAX, WAV, WBZ, OZJ, AF/IO, and JPO support unless otherwise stated. Regardless of clearance level, personnel shall maintain their required clearance throughout the contract period of performance to provide support for multiple tasks and meetings at various classification levels. The Government will assist the candidate with attaining access to classified facilities as required. To fill engineering positions, it is required that the Contractor have successfully completed an undergraduate degree with a major in engineering from a college or university with an Accreditation Board of Engineering and Technology (ABET) accredited engineering program(s) for the degree requirements of the position (e.g. electrical, mechanical, aerospace). Degrees in engineering technology are not considered to be qualifying for these positions. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development
Vaco is partnering with a growing education technology organization to hire a Staff / Principal AI Engineer to help define and build the next generation of AI-powered products, platforms, and internal capabilities. This is a highly visible, hands-on technical leadership role focused on bringing practical AI innovation into both customer-facing products and internal business operations. This person will serve as a technical change leader as the organization moves toward broader use of AI agents, generative AI, machine learning, and LLM-powered product experiences. The right candidate will bring strong architecture and engineering depth, but also a product mindset. This role is about building real solutions, teaching teams how to use AI effectively, securing AI-enabled workflows, and identifying where AI can improve customer experience, training products, marketing funnels, and business outcomes. What You'll Be Doing Lead the design, development, and deployment of scalable AI and machine learning solutions across product and internal business use cases Architect generative AI systems, LLM-powered workflows, agentic solutions, and AI-enabled product features Build and optimize LLMOps pipelines that support reliable deployment, evaluation, monitoring, and iteration of AI models Partner with product, architecture, data, engineering, innovation, and marketing teams to identify where AI can create measurable business impact Drive AI innovation within customer-facing products, training platforms, digital experiences, and lead conversion workflows Evaluate and implement approaches for prompt engineering, context management, embeddings, retrieval, and model optimization Design AI systems with feedback loops, automated retraining, fine-tuning, and lifecycle management where appropriate Build data pipelines and preprocessing workflows that ensure data quality, security, and regulatory alignment Provide hands-on technical leadership through architecture reviews, code contributions, proof-of-concepts, and implementation guidance Mentor AI engineers and partner with architects across application, product, CRM, and data domains Help establish standards, documentation, and best practices for responsible AI development and deployment Stay current on emerging AI trends, including AI's impact on digital marketing, Answer Engine Optimization, Generative Engine Optimization, and customer discovery behavior Required Experience 8 or more years of progressive experience across software engineering, data, analytics, machine learning, AI engineering, or related technology roles 1 or more years of experience developing and implementing analytical, AI, or machine learning applications Hands-on experience building and deploying LLM-based solutions, generative AI applications, or AI-powered product features Strong understanding of machine learning, natural language processing, large language models, embeddings, retrieval patterns, and model evaluation Experience with Python, SQL, Hugging Face, Snowflake, and modern ML or analytics tooling Experience designing AI or ML solutions in Azure or comparable cloud environments Experience with CI/CD pipelines, Docker, Kubernetes, MLflow, or similar MLOps and lifecycle management tools Ability to translate ambiguous AI opportunities into practical, scalable engineering solutions Strong product mindset with interest in customer experience, product innovation, marketing enablement, and business impact Demonstrated ability to mentor engineers, influence technical direction, and guide best practices Strong communication skills with the ability to present complex AI concepts to technical and non-technical stakeholders Bachelor's degree in Computer Science, Artificial Intelligence, or a related field preferred, or equivalent professional experience Nice to Have Experience building AI agents or agentic workflows for internal business operations Exposure to AI security, responsible AI, model governance, or securing AI-enabled systems Experience applying AI to online shopping, customer acquisition, digital marketing, or lead conversion workflows Familiarity with Answer Engine Optimization or Generative Engine Optimization concepts Experience with Azure AI services or comparable cloud AI platforms Background working in education technology, training platforms, eCommerce, or digital learning environments Experience helping organizations adopt AI tools, workflows, and operating models across multiple teams Compensation & Benefits Salary range: $170,000 to $190,000 annually Full-time role with benefits package available If you are a hands-on AI engineering leader who wants to build practical generative AI systems, shape product innovation, and help an organization move from AI experimentation to real enterprise adoption, we would welcome the opportunity to connect. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring . click apply for full job details
10/07/2026
Full time
Vaco is partnering with a growing education technology organization to hire a Staff / Principal AI Engineer to help define and build the next generation of AI-powered products, platforms, and internal capabilities. This is a highly visible, hands-on technical leadership role focused on bringing practical AI innovation into both customer-facing products and internal business operations. This person will serve as a technical change leader as the organization moves toward broader use of AI agents, generative AI, machine learning, and LLM-powered product experiences. The right candidate will bring strong architecture and engineering depth, but also a product mindset. This role is about building real solutions, teaching teams how to use AI effectively, securing AI-enabled workflows, and identifying where AI can improve customer experience, training products, marketing funnels, and business outcomes. What You'll Be Doing Lead the design, development, and deployment of scalable AI and machine learning solutions across product and internal business use cases Architect generative AI systems, LLM-powered workflows, agentic solutions, and AI-enabled product features Build and optimize LLMOps pipelines that support reliable deployment, evaluation, monitoring, and iteration of AI models Partner with product, architecture, data, engineering, innovation, and marketing teams to identify where AI can create measurable business impact Drive AI innovation within customer-facing products, training platforms, digital experiences, and lead conversion workflows Evaluate and implement approaches for prompt engineering, context management, embeddings, retrieval, and model optimization Design AI systems with feedback loops, automated retraining, fine-tuning, and lifecycle management where appropriate Build data pipelines and preprocessing workflows that ensure data quality, security, and regulatory alignment Provide hands-on technical leadership through architecture reviews, code contributions, proof-of-concepts, and implementation guidance Mentor AI engineers and partner with architects across application, product, CRM, and data domains Help establish standards, documentation, and best practices for responsible AI development and deployment Stay current on emerging AI trends, including AI's impact on digital marketing, Answer Engine Optimization, Generative Engine Optimization, and customer discovery behavior Required Experience 8 or more years of progressive experience across software engineering, data, analytics, machine learning, AI engineering, or related technology roles 1 or more years of experience developing and implementing analytical, AI, or machine learning applications Hands-on experience building and deploying LLM-based solutions, generative AI applications, or AI-powered product features Strong understanding of machine learning, natural language processing, large language models, embeddings, retrieval patterns, and model evaluation Experience with Python, SQL, Hugging Face, Snowflake, and modern ML or analytics tooling Experience designing AI or ML solutions in Azure or comparable cloud environments Experience with CI/CD pipelines, Docker, Kubernetes, MLflow, or similar MLOps and lifecycle management tools Ability to translate ambiguous AI opportunities into practical, scalable engineering solutions Strong product mindset with interest in customer experience, product innovation, marketing enablement, and business impact Demonstrated ability to mentor engineers, influence technical direction, and guide best practices Strong communication skills with the ability to present complex AI concepts to technical and non-technical stakeholders Bachelor's degree in Computer Science, Artificial Intelligence, or a related field preferred, or equivalent professional experience Nice to Have Experience building AI agents or agentic workflows for internal business operations Exposure to AI security, responsible AI, model governance, or securing AI-enabled systems Experience applying AI to online shopping, customer acquisition, digital marketing, or lead conversion workflows Familiarity with Answer Engine Optimization or Generative Engine Optimization concepts Experience with Azure AI services or comparable cloud AI platforms Background working in education technology, training platforms, eCommerce, or digital learning environments Experience helping organizations adopt AI tools, workflows, and operating models across multiple teams Compensation & Benefits Salary range: $170,000 to $190,000 annually Full-time role with benefits package available If you are a hands-on AI engineering leader who wants to build practical generative AI systems, shape product innovation, and help an organization move from AI experimentation to real enterprise adoption, we would welcome the opportunity to connect. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring . click apply for full job details
Date Posted: 2026-08-17 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 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: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings 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. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our Senior Principal Embedded Real-Time Software Developer/Integrator is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality Teaching, coaching, and mentoring less experienced staff Contributing to proposals as well as preliminary and critical design reviews Ability to obtain program access What You Will Learn Working across a product line in collaboration with other teams Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.). Experience developing complex systems involving the integration of hardware, firmware, and software. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. Qualifications We Prefer Familiarity with rate monotonic theory, practice, and limitations Familiarity with layered architectural principles, and their limitations Familiarity with reading electrical schematics and relating it to software function Familiarity with reading firmware source like VHDL or Verilog Familiarity with assembly language in at least one processor/controller family Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers Experience with developing device drivers for bare-metal and/or OS applications Experience leading engineering teams in delivering systems (of various size) involving the integration of hardware and software. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On 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. Clearance Information: 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: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": 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 132,400 USD - 251,600 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. . click apply for full job details
10/02/2026
Full time
Date Posted: 2026-08-17 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 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: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings 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. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our Senior Principal Embedded Real-Time Software Developer/Integrator is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality Teaching, coaching, and mentoring less experienced staff Contributing to proposals as well as preliminary and critical design reviews Ability to obtain program access What You Will Learn Working across a product line in collaboration with other teams Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.). Experience developing complex systems involving the integration of hardware, firmware, and software. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. Qualifications We Prefer Familiarity with rate monotonic theory, practice, and limitations Familiarity with layered architectural principles, and their limitations Familiarity with reading electrical schematics and relating it to software function Familiarity with reading firmware source like VHDL or Verilog Familiarity with assembly language in at least one processor/controller family Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers Experience with developing device drivers for bare-metal and/or OS applications Experience leading engineering teams in delivering systems (of various size) involving the integration of hardware and software. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On 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. Clearance Information: 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: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": 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 132,400 USD - 251,600 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. . click apply for full job details
Job Description Job Description The future of aerospace and defense starts here. Ursa Major was founded to revolutionize how America and its allies access and apply high-performance propulsion, from hypersonics to solid rocket motors, satellite maneuvering and launch. We design and deliver propulsion and defense systems that solve the most urgent and critical national security demands. Ursa Major is bringing a new model to propulsion and defense technology: one where performance and access are no longer constrained by legacy systems. We design, build, and deploy advanced propulsion systems that power national security missions, hypersonic capabilities, and the future of space access. Our mission requires an extraordinary team-one that will mold tomorrow's critical technologies while deploying today's best. We are an intrinsically motivated team with a passion for solving complex technical problems and empowering each other every day, knowing that there is always room for growth. As a Principal DevOps Engineer within our Digital Operations team, you won't just be managing servers or responding to deployment tickets. You will be a principal technical leader and system architect responsible for owning and shaping Ursa Major's platform engineering, infrastructure automation, and software deployment strategies across cloud, on-premise, and manufacturing environments. Sitting at the vital intersection of Software Engineering, IT, Zero-Trust Networking, Digital Manufacturing, and Cybersecurity, you will build the foundational platforms that empower our engineering and manufacturing teams to design, test, and deliver mission-critical systems faster and more reliably. As Ursa Major expands, you will decompose complex technical challenges, author clear architecture designs, and drive pragmatic, high-impact solutions that connect our cloud environments directly to physical manufacturing and test-bench hardware. Responsibilities: Platform Architecture & Developer Experience Lead the research, design, and continuous improvement of platform infrastructure, software deployment, and Developer Experience (DX) across the enterprise. Decompose complex infrastructure problems into maintainable systems; author clear technical design documents and lead cross-functional teams through execution. Act as a strategic connector between Software Engineering, IT, and Networking to unify tooling, share infrastructure patterns, and eliminate operational silos. Infrastructure-as-Code (IaC), GitOps & High Availability (HA) Advance our declarative Infrastructure-as-Code (IaC) and GitOps practices (using Terraform, Helm, and ArgoCD/Flux) to deliver fully automated, drift-free application lifecycles across Azure GovCloud and AWS GovCloud. Extend containerization and orchestration (Kubernetes, Docker) beyond cloud environments into on-premise test benches, shop-floor PCs, and edge manufacturing hardware in alignment with our CMMC Level 2 hybrid strategy. Own Disaster Recovery (DR) and Business Continuity (BC) architecture-maintaining automated backup and failover capabilities that keep critical system recovery times measured in minutes, not days. DevSecOps & AI Pipeline Integration Partner with Cybersecurity and Zero-Trust teams to integrate automated vulnerability scanning, secrets management, and policy-as-code guardrails directly into CI/CD workflows without introducing developer friction. Architect and support automated pipelines for hosted and private AI models, enabling software and engineering teams to leverage high-throughput AI capabilities safely within our secure compliance boundary. Maintain continuous telemetry, metrics, and alerting frameworks (Prometheus, Grafana) to give engineers real-time visibility into application performance and pipeline health. Leadership, Mentorship & Impact Frame all technical initiatives in terms of maximum impact on overall business health, execution speed, and system reliability. Mentor and elevate engineers across the software and IT organizations, fostering a culture of analytical, value-driven problem-solving. Function as a top-level technical decision-maker, managing high-ambiguity challenges with high autonomy while maintaining psychological safety and clear standards of excellence Minimum Qualifications: 8+ years of professional DevOps, SRE, or Infrastructure/Platform Engineering experience, with a proven track record of principal-level technical leadership and system architecture. Hands-on mastery of Azure GovCloud and/or AWS GovCloud environments, with deep expertise in VPC networking, IAM, and cloud-native security controls. Advanced proficiency in Terraform, Docker, Kubernetes, Helm, and continuous delivery via GitOps patterns (ArgoCD, GitHub Actions, or Flux). Direct experience architecting high-availability systems, automated DR solutions, and telemetry suites (Prometheus, Grafana). Practical experience configuring automated container/code and centralized secrets management (AWS/Azure Key Vaults, HashiCorp Vault). Experience automating, deploying, or supporting hosted AI model integrations within production CI/CD pipelines. A proactive problem solver who builds trust across teams, rejects black-and-white thinking, and focuses on enabling business outcomes. Preferred Qualifications: Familiarity with NIST SP 800-171 / CMMC Level 2 compliance standards and securing CUI data flows. Experience with Artifactory, SonarQube, Open Policy Agent (OPA), Kyverno, or automated Software Bill of Materials (SBOM) tooling. Experience automating physical hardware, edge nodes, or shop-floor environments using Packer, Ansible, K3s, or Rancher. Experience orchestrating self-hosted or private AI model execution frameworks. Ability to obtain and maintain a U.S. Government Security Clearance. Colorado law requires us to tell you the base compensation range of this role, which is $175,000 - $215,000, determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we are evaluating individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you and see if you are a great fit for our team. What we can't quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. Classification: Full-Time, Exempt Benefits Include: (Please note, Interns are not eligible for benefits) Unlimited PTO - Vacation, Sick, Personal, and Bereavement Paid Parental and Adoptive Leave Medical, Dental and Vision Insurance Tax Advantage Accounts (HSA/FSA) Employer Paid Short and Long Term Disability, Basic Life, AD&D Additional Benefit Options Including Voluntary Life and Emergency Medical Transport EAP Program Retirement Savings Plan - 401k with Company Match Equity Grants in the Company How To Apply: Interested candidates are encouraged to apply by filling out the application below and clicking "Submit Application". This position will be posted for a minimum of 3 days and will remain open until filled or adjusted based on the volume of applicants. NOTE: Research suggests that women and BIPOC individuals may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage anyone who believes they have the skills and the drive necessary to succeed here to apply for this role. Must be a U.S. Person (this includes U.S. Citizens and Permanent Residents). Eligibility to obtain and maintain a U.S. Security Clearance. We're an equal-opportunity employer. You will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. No outside recruiters, please.
09/30/2026
Full time
Job Description Job Description The future of aerospace and defense starts here. Ursa Major was founded to revolutionize how America and its allies access and apply high-performance propulsion, from hypersonics to solid rocket motors, satellite maneuvering and launch. We design and deliver propulsion and defense systems that solve the most urgent and critical national security demands. Ursa Major is bringing a new model to propulsion and defense technology: one where performance and access are no longer constrained by legacy systems. We design, build, and deploy advanced propulsion systems that power national security missions, hypersonic capabilities, and the future of space access. Our mission requires an extraordinary team-one that will mold tomorrow's critical technologies while deploying today's best. We are an intrinsically motivated team with a passion for solving complex technical problems and empowering each other every day, knowing that there is always room for growth. As a Principal DevOps Engineer within our Digital Operations team, you won't just be managing servers or responding to deployment tickets. You will be a principal technical leader and system architect responsible for owning and shaping Ursa Major's platform engineering, infrastructure automation, and software deployment strategies across cloud, on-premise, and manufacturing environments. Sitting at the vital intersection of Software Engineering, IT, Zero-Trust Networking, Digital Manufacturing, and Cybersecurity, you will build the foundational platforms that empower our engineering and manufacturing teams to design, test, and deliver mission-critical systems faster and more reliably. As Ursa Major expands, you will decompose complex technical challenges, author clear architecture designs, and drive pragmatic, high-impact solutions that connect our cloud environments directly to physical manufacturing and test-bench hardware. Responsibilities: Platform Architecture & Developer Experience Lead the research, design, and continuous improvement of platform infrastructure, software deployment, and Developer Experience (DX) across the enterprise. Decompose complex infrastructure problems into maintainable systems; author clear technical design documents and lead cross-functional teams through execution. Act as a strategic connector between Software Engineering, IT, and Networking to unify tooling, share infrastructure patterns, and eliminate operational silos. Infrastructure-as-Code (IaC), GitOps & High Availability (HA) Advance our declarative Infrastructure-as-Code (IaC) and GitOps practices (using Terraform, Helm, and ArgoCD/Flux) to deliver fully automated, drift-free application lifecycles across Azure GovCloud and AWS GovCloud. Extend containerization and orchestration (Kubernetes, Docker) beyond cloud environments into on-premise test benches, shop-floor PCs, and edge manufacturing hardware in alignment with our CMMC Level 2 hybrid strategy. Own Disaster Recovery (DR) and Business Continuity (BC) architecture-maintaining automated backup and failover capabilities that keep critical system recovery times measured in minutes, not days. DevSecOps & AI Pipeline Integration Partner with Cybersecurity and Zero-Trust teams to integrate automated vulnerability scanning, secrets management, and policy-as-code guardrails directly into CI/CD workflows without introducing developer friction. Architect and support automated pipelines for hosted and private AI models, enabling software and engineering teams to leverage high-throughput AI capabilities safely within our secure compliance boundary. Maintain continuous telemetry, metrics, and alerting frameworks (Prometheus, Grafana) to give engineers real-time visibility into application performance and pipeline health. Leadership, Mentorship & Impact Frame all technical initiatives in terms of maximum impact on overall business health, execution speed, and system reliability. Mentor and elevate engineers across the software and IT organizations, fostering a culture of analytical, value-driven problem-solving. Function as a top-level technical decision-maker, managing high-ambiguity challenges with high autonomy while maintaining psychological safety and clear standards of excellence Minimum Qualifications: 8+ years of professional DevOps, SRE, or Infrastructure/Platform Engineering experience, with a proven track record of principal-level technical leadership and system architecture. Hands-on mastery of Azure GovCloud and/or AWS GovCloud environments, with deep expertise in VPC networking, IAM, and cloud-native security controls. Advanced proficiency in Terraform, Docker, Kubernetes, Helm, and continuous delivery via GitOps patterns (ArgoCD, GitHub Actions, or Flux). Direct experience architecting high-availability systems, automated DR solutions, and telemetry suites (Prometheus, Grafana). Practical experience configuring automated container/code and centralized secrets management (AWS/Azure Key Vaults, HashiCorp Vault). Experience automating, deploying, or supporting hosted AI model integrations within production CI/CD pipelines. A proactive problem solver who builds trust across teams, rejects black-and-white thinking, and focuses on enabling business outcomes. Preferred Qualifications: Familiarity with NIST SP 800-171 / CMMC Level 2 compliance standards and securing CUI data flows. Experience with Artifactory, SonarQube, Open Policy Agent (OPA), Kyverno, or automated Software Bill of Materials (SBOM) tooling. Experience automating physical hardware, edge nodes, or shop-floor environments using Packer, Ansible, K3s, or Rancher. Experience orchestrating self-hosted or private AI model execution frameworks. Ability to obtain and maintain a U.S. Government Security Clearance. Colorado law requires us to tell you the base compensation range of this role, which is $175,000 - $215,000, determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we are evaluating individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you and see if you are a great fit for our team. What we can't quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. Classification: Full-Time, Exempt Benefits Include: (Please note, Interns are not eligible for benefits) Unlimited PTO - Vacation, Sick, Personal, and Bereavement Paid Parental and Adoptive Leave Medical, Dental and Vision Insurance Tax Advantage Accounts (HSA/FSA) Employer Paid Short and Long Term Disability, Basic Life, AD&D Additional Benefit Options Including Voluntary Life and Emergency Medical Transport EAP Program Retirement Savings Plan - 401k with Company Match Equity Grants in the Company How To Apply: Interested candidates are encouraged to apply by filling out the application below and clicking "Submit Application". This position will be posted for a minimum of 3 days and will remain open until filled or adjusted based on the volume of applicants. NOTE: Research suggests that women and BIPOC individuals may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage anyone who believes they have the skills and the drive necessary to succeed here to apply for this role. Must be a U.S. Person (this includes U.S. Citizens and Permanent Residents). Eligibility to obtain and maintain a U.S. Security Clearance. We're an equal-opportunity employer. You will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. No outside recruiters, please.
Job Description Job Description About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies , including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction-a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now. We are building an AI tutoring system designed to emulate and eventually surpass the best human tutors. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. This role can be done remotely from anyone of the following; United States, United Kingdom, Belgium, Portugal OR UAE About you At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets-you aim to understand the "why" behind our goals and take ownership to drive the business forward. You're a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply! Responsibilities Build and evolve the core AI tutoring system , including prompt architectures, agentic workflows, and real-time adaptive behaviors. Run rigorous experimentation and evaluation , developing custom metrics and frameworks to measure learning effectiveness and improve model reliability. Design and implement scalable, maintainable software , integrating AI capabilities with platform systems, content pipelines, and user experience components. Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions. Prototype and productionize novel model interactions , leveraging emerging research and capabilities to advance the tutor's intelligence. Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior. Share knowledge and elevate teammates , contributing to a culture of clarity, simplicity, and continuous learning. Qualifications Technical 1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows. Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short. Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD. Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems. Product & Pedagogy Strong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions. Ability to reason holistically across AI behavior, content structure, platform features, and user experience. Familiarity with learning science or a desire to develop expertise. Character & Collaboration Drawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions. Preference for elegance and simplicity in system design. Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams. Why Datacamp? Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team: Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding. Competitive compensation: We offer a competitive salary with attractive benefits. Flexibility: Benefit from flexible working hours because the future is flexible! Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth. Global retreats: Participate in international company retreats, fostering a global team spirit. Equipment: Yearly refreshment of your IT Equipment budget for your home working setup. Amazing team: Collaborate with a truly exceptional team-seriously, we're awesome!
09/28/2026
Full time
Job Description Job Description About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies , including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction-a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now. We are building an AI tutoring system designed to emulate and eventually surpass the best human tutors. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. This role can be done remotely from anyone of the following; United States, United Kingdom, Belgium, Portugal OR UAE About you At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets-you aim to understand the "why" behind our goals and take ownership to drive the business forward. You're a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply! Responsibilities Build and evolve the core AI tutoring system , including prompt architectures, agentic workflows, and real-time adaptive behaviors. Run rigorous experimentation and evaluation , developing custom metrics and frameworks to measure learning effectiveness and improve model reliability. Design and implement scalable, maintainable software , integrating AI capabilities with platform systems, content pipelines, and user experience components. Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions. Prototype and productionize novel model interactions , leveraging emerging research and capabilities to advance the tutor's intelligence. Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior. Share knowledge and elevate teammates , contributing to a culture of clarity, simplicity, and continuous learning. Qualifications Technical 1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows. Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short. Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD. Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems. Product & Pedagogy Strong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions. Ability to reason holistically across AI behavior, content structure, platform features, and user experience. Familiarity with learning science or a desire to develop expertise. Character & Collaboration Drawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions. Preference for elegance and simplicity in system design. Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams. Why Datacamp? Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team: Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding. Competitive compensation: We offer a competitive salary with attractive benefits. Flexibility: Benefit from flexible working hours because the future is flexible! Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth. Global retreats: Participate in international company retreats, fostering a global team spirit. Equipment: Yearly refreshment of your IT Equipment budget for your home working setup. Amazing team: Collaborate with a truly exceptional team-seriously, we're awesome!
Job Description Job Description Staff / Principal Platform Engineer Location: New York City Hybrid Department: AI Platform & Infrastructure Team Reports to: Vangie Shue - Principal Engineering Manager About AppGate AppGate secures and protects an organization's most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution and Cyber Advisory Services. AppGate ZTNA is the only direct-routed Zero Trust solution built for peak performance, superior protection and seamless interoperability. AppGate Cyber Advisory Services harden your security posture and ensure business continuity. AppGate safeguards Fortune 500 enterprises and government agencies worldwide. Learn more at About the Role As we expand our platform, we are standing up a new AI Platform & Infrastructure team: the engine room of AppGate's AI strategy. This team owns the infrastructure layer that every next-generation security capability is built on, from network observability to AI-driven threat detection and the secure operation of emerging Agentic AI systems. We're looking for a Staff or Principal Platform Engineer to build and operate the foundational platform behind AppGate's AI products. You combine deep DevOps and cloud infrastructure expertise with hands-on experience operationalizing AI/ML systems, and you treat observability as a first-class engineering discipline. This is a rare opportunity to join a small, private, high-impact company where your work directly shapes the architecture, reliability and core platform that defines the future of security. You'll own the platform spanning APIs, cloud and self-managed solutions and AI/ML infrastructure, and you'll make it fast, reliable and observable at scale. This is a high-leverage, hands-on role for a senior engineer who sets technical direction and still ships. Key Responsibilities Build the Platform: design, build and operate the cloud infrastructure, services and pipelines that AppGate's AI and cloud products run on. Strong experience with self-managed technologies (kafka, elasticsearch) and Kubernetes are a must. Infrastructure as Code & Deployment Orchestration: Terraform and Helm for cloud provisioning, service deployment and configuration management. Implement Observability: instrument APIs, cloud services and AI/ML infrastructure with metrics, logging, tracing and alerting, and define SLOs and operational health metrics that teams trust. Data Platform: real-time and batch data ingestion pipelines, feature stores and data quality. Integrations: third-party connectors, APIs and platform integrations. Operationalize AI/ML: build model serving and inference pipelines, experiment tracking and the MLOps tooling for deployment, versioning, drift monitoring and lifecycle management. Engineer for reliability & automation: apply SRE practices to reduce toil, improve resilience and keep latency and uptime within target across the platform. Automate everything - deliver infrastructure-as-code, CI/CD and self-service tooling so product teams ship safely and quickly. Set technical direction: define platform standards, architecture and best practices, and raise the engineering bar through design reviews and mentorship. Collaborate cross-functionally: partner with data scientists, product teams and leadership to align platform investment with AppGate's strategic vision. Required Qualifications Experience: extensive platform, infrastructure or SRE engineering experience, with a track record of operating production systems at scale. Staff-level candidates typically bring 8+ years and Principal-level candidates 12+ years, though we hire on demonstrated impact. DevOps depth: strong command of infrastructure-as-code (Terraform or equivalent), CI/CD, containers and orchestration (Docker, Kubernetes), and cloud platforms (AWS). Observability expertise: hands-on experience implementing observability across APIs, cloud services and distributed systems using tools such as Prometheus, Grafana, OpenTelemetry, the ELK stack or comparable, including SLO and error-budget practice. Data platform skills: familiarity with real-time and batch ingestion pipelines, feature stores and data quality at production scale. Engineering craft: fluency in a primary backend language (Python, Go or similar) and a strong bias toward automation, testing and reliable, maintainable systems. Leadership: a record of setting technical direction, leading complex initiatives across teams, mentoring senior engineers, while still being very hands-on. Mindset: pragmatic, rigorous and ownership-driven. You thrive in a small, fast-moving environment and enjoy building foundations others depend on. Preferred Qualifications AI/ML infrastructure: experience building or operating model serving, inference pipelines and MLOps tooling such as MLflow, Kubeflow, SageMaker or equivalent, including model deployment, versioning and drift monitoring. Networking & Zero Trust fundamentals: working knowledge of the network and routing layer beneath modern access solutions - TCP/IP, TLS, tunneling/overlay networks, packet routing and filtering, DNS and firewalling - and familiarity with Zero Trust Network Access (ZTNA) or adjacent domains (VPN, SDP, SASE, software-defined networking). You can reason about traffic paths, latency and throughput end-to-end, and instrument the network as a first-class observability signal. Compensation Staff: 185k-225k base Principal: 215k-270k base We offer performance bonuses and considerable equity. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.
09/28/2026
Full time
Job Description Job Description Staff / Principal Platform Engineer Location: New York City Hybrid Department: AI Platform & Infrastructure Team Reports to: Vangie Shue - Principal Engineering Manager About AppGate AppGate secures and protects an organization's most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution and Cyber Advisory Services. AppGate ZTNA is the only direct-routed Zero Trust solution built for peak performance, superior protection and seamless interoperability. AppGate Cyber Advisory Services harden your security posture and ensure business continuity. AppGate safeguards Fortune 500 enterprises and government agencies worldwide. Learn more at About the Role As we expand our platform, we are standing up a new AI Platform & Infrastructure team: the engine room of AppGate's AI strategy. This team owns the infrastructure layer that every next-generation security capability is built on, from network observability to AI-driven threat detection and the secure operation of emerging Agentic AI systems. We're looking for a Staff or Principal Platform Engineer to build and operate the foundational platform behind AppGate's AI products. You combine deep DevOps and cloud infrastructure expertise with hands-on experience operationalizing AI/ML systems, and you treat observability as a first-class engineering discipline. This is a rare opportunity to join a small, private, high-impact company where your work directly shapes the architecture, reliability and core platform that defines the future of security. You'll own the platform spanning APIs, cloud and self-managed solutions and AI/ML infrastructure, and you'll make it fast, reliable and observable at scale. This is a high-leverage, hands-on role for a senior engineer who sets technical direction and still ships. Key Responsibilities Build the Platform: design, build and operate the cloud infrastructure, services and pipelines that AppGate's AI and cloud products run on. Strong experience with self-managed technologies (kafka, elasticsearch) and Kubernetes are a must. Infrastructure as Code & Deployment Orchestration: Terraform and Helm for cloud provisioning, service deployment and configuration management. Implement Observability: instrument APIs, cloud services and AI/ML infrastructure with metrics, logging, tracing and alerting, and define SLOs and operational health metrics that teams trust. Data Platform: real-time and batch data ingestion pipelines, feature stores and data quality. Integrations: third-party connectors, APIs and platform integrations. Operationalize AI/ML: build model serving and inference pipelines, experiment tracking and the MLOps tooling for deployment, versioning, drift monitoring and lifecycle management. Engineer for reliability & automation: apply SRE practices to reduce toil, improve resilience and keep latency and uptime within target across the platform. Automate everything - deliver infrastructure-as-code, CI/CD and self-service tooling so product teams ship safely and quickly. Set technical direction: define platform standards, architecture and best practices, and raise the engineering bar through design reviews and mentorship. Collaborate cross-functionally: partner with data scientists, product teams and leadership to align platform investment with AppGate's strategic vision. Required Qualifications Experience: extensive platform, infrastructure or SRE engineering experience, with a track record of operating production systems at scale. Staff-level candidates typically bring 8+ years and Principal-level candidates 12+ years, though we hire on demonstrated impact. DevOps depth: strong command of infrastructure-as-code (Terraform or equivalent), CI/CD, containers and orchestration (Docker, Kubernetes), and cloud platforms (AWS). Observability expertise: hands-on experience implementing observability across APIs, cloud services and distributed systems using tools such as Prometheus, Grafana, OpenTelemetry, the ELK stack or comparable, including SLO and error-budget practice. Data platform skills: familiarity with real-time and batch ingestion pipelines, feature stores and data quality at production scale. Engineering craft: fluency in a primary backend language (Python, Go or similar) and a strong bias toward automation, testing and reliable, maintainable systems. Leadership: a record of setting technical direction, leading complex initiatives across teams, mentoring senior engineers, while still being very hands-on. Mindset: pragmatic, rigorous and ownership-driven. You thrive in a small, fast-moving environment and enjoy building foundations others depend on. Preferred Qualifications AI/ML infrastructure: experience building or operating model serving, inference pipelines and MLOps tooling such as MLflow, Kubeflow, SageMaker or equivalent, including model deployment, versioning and drift monitoring. Networking & Zero Trust fundamentals: working knowledge of the network and routing layer beneath modern access solutions - TCP/IP, TLS, tunneling/overlay networks, packet routing and filtering, DNS and firewalling - and familiarity with Zero Trust Network Access (ZTNA) or adjacent domains (VPN, SDP, SASE, software-defined networking). You can reason about traffic paths, latency and throughput end-to-end, and instrument the network as a first-class observability signal. Compensation Staff: 185k-225k base Principal: 215k-270k base We offer performance bonuses and considerable equity. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.
