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Job Title: Data Center Infrastructure Engineer Location: Chandler, AZ (Hybrid, 3 days onsite per week. Local candidates only.) Duration: Contract - 12 months. Potential contract-to-hire. Pay Range: $60.54/hr (W2) Job ID: 407936 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Data Center Infrastructure Engineer to join our team and support Data Center Infrastructure Engineering. The ideal candidate will have strong experience in critical power and cooling systems, capacity planning, infrastructure resiliency, and construction/commissioning for data centers and a proven ability to deliver reliable, scalable, and cost-effective physical infrastructure solutions. Responsibilities: Design, maintain, and improve the physical infrastructure of data centers, including power, cooling, and structured cabling systems. Lead or contribute to infrastructure engineering and design, interpret design standards, and identify implementation risks. Plan capacity for power, space, and cooling and support DCIM and monitoring initiatives. Support construction, upgrades, and commissioning activities across sites and portfolios. Conduct root-cause failure analysis and drive corrective and preventive actions. Collaborate with Real Estate, Critical Systems, Construction, Technology, utilities, vendors, and facility stakeholders. Define, track, and report engineering and operational metrics to support data-driven decisions. Support budgets and cost controls for infrastructure operations and capital projects. Required Skills & Qualifications: Strong working knowledge of data center critical infrastructure, including mechanical, electrical, and structured cabling systems, with an engineering or technical discipline background. Experience with critical electrical infrastructure such as utility service, switchgear, generators, UPS, and power distribution. Experience with cooling and mechanical systems supporting data centers. Proven delivery of solutions that meet availability, redundancy, quality, and budget requirements. Experience supporting budgets, vendor cost management, and capital projects for data center initiatives. Demonstrated partnership with Real Estate, Critical Systems, Construction, and Technology teams to deliver outcomes. Track record of leading or managing projects that improve reliability, efficiency, or standardization. Applied knowledge of engineering standards, operational procedures, and continuous improvement practices. Experience working in large, complex, and preferably global organizations, including matrixed environments and distributed teams. Strong written and verbal communication with the ability to present technical and operational information to peers and management. Preferred Skills: Typically 5+ years in Data Center, Critical Systems, or related infrastructure engineering disciplines. Experience in data center engineering, construction, upgrades, integration, and commissioning activities. Leadership of teams or workstreams with cross-functional collaboration and vendor influence. Knowledge of risk assessment, availability modeling, and resiliency planning for data centers or colocation environments. Familiarity with DCIM, telemetry, and infrastructure management tools across power, cooling, and environmental monitoring. Experience with site assessments, infrastructure health evaluations, and facility upgrade planning. Ability to interpret and refine minimum technical requirements and standards to meet evolving needs. Working knowledge of root-cause failure analysis for critical systems equipment and incident investigations. Coordination experience with local utilities and AHJs to address site constraints and code compliance. Foundational understanding of network design and layout as it relates to physical deployment. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits Opportunities for growth with global clients A supportive, inclusive culture that values innovation and people Exposure to cutting-edge technologies and projects Additional Details Glider: Candidate ID Verification. Resume bucket: 5 total positions. Maximum 8 submittals per vendor. This role will require candidates who do not require sponsorship now or in the future. Hours per Day: 8. Labor Type: Technical. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.

Position: Systems Engineer I Location: Mount Prospect, Illinois Duration: Contract Job ID: 178698 Job Overview: This position requires a hands-on individual with experience installing and supporting data center infrastructure. The ideal candidate will be comfortable working in a fast-paced, mission-critical environment and performing physical installation and maintenance tasks. This role involves third-shift work, with initial training on a first-shift schedule. Responsibilities: Perform the physical installation, relocation, and removal of data center equipment, including servers, network switches, storage systems, racks, and structured cabling. Install, label, and troubleshoot copper and fiber optic cabling. Travel to company data center and colocation facilities as required. Support a 24x7x365 operation, including the ability to work various shifts, weekends, and holidays. Safely lift and move equipment weighing up to 50 pounds. Work comfortably and safely on ladders and in raised floor or overhead cable environments. Follow established safety procedures and data center operational standards while performing all installation and maintenance activities. Demonstrate strong attention to detail, organizational skills, and the ability to work independently or as part of a team in a production data center environment. Qualifications: Technical data center experience, including server installations, data cabling installation, and data center adds, moves, and changes. Nice-to-have skills include electrical or low-voltage wiring and experience in the trades. Ability to work third-shift hours (10:00 PM - 6:30 AM) with flexibility to cover weekend shifts after training. Strong organizational and troubleshooting skills. Ability to travel up to 15% as required. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $24 - $27/Hr The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.

Wagstaff Description: Wagstaff manufactures equipment for aluminum producers, who process formed aluminum into parts and products you use every day. Schedule: Monday - Friday, 8 Hour Shifts Pay: $81,0000 - $130,000 Salary As an employee of Wagstaff, you'll enjoy: Paid non-working holidays Monthly, site-wide BBQs Up to 8% retirement contribution Annual bonus program 1200 Sqft onsite gym, accessible 24/hrs a day Family-friendly, company-wide events To view our full benefits summary, please visit Want to learn more about Wagstaff? Join us for a virtual tour! Job Summary Primary duties consist of the application of electrical and/or mechanical engineering knowledge to the unique set of circumstances at each customer location, including but not limited to reviewing technical proposal content, creating proposal drawings, and developing project specifications for optimal utilization of Wagstaff supplied equipment. Job Responsibilities Review technical proposal content Create proposal drawings as required Provide preliminary conceptual design drawings for proposals Develop proposal/project List of Deliverables and specifications Develop and maintain proposal product input forms Obtain site design requirements such as interfaces, process specifications, and other information for sales orders Transfer clear, complete scope of supply specifications with preliminary conceptual design drawings to engineering department for sales orders requiring design engineering Periodic domestic and international travel required depending upon customer and company business needs Assist in development of new and standard products, product variations, and systems Create and maintain product definition documents Produce product analysis studies Actively participate in final sales order contract negotiations Abide by company policies In order to achieve business objectives, work weeks in excess of 40 hours may be required Addional duties consist of the application of basic electrical or mechanical engineering knowledge related to Wagstaff supplied equipment Other duties as assigned Requirements: Bachelor of Science degree in Mechanical Engineering, Electrical Engineering or related Engineering field required Minimum 6 years of aluminum industry experience Technical knowledge of aluminum cast house equipment and processes Experience using computer automated design and applicable business software Demonstrated customer relations capability Experience in industrial capital project management Excellent communication and interpersonal skills within diverse populations Must work independently, without supervision, exercising discretion and judgment Working Environment While performing the duties of this job on Wagstaff premises, work is performed primarily in an adequately lit, well ventilated, climate controlled general office environment. Close computer work is regularly required. The work usually involves minimal physical exertion. The noise level in the general office environment is usually moderate. This job may require occasional or more frequent interaction with employees on the manufacturing shop floor. While on the shop floor, the employee may be exposed to fumes, airborne particles, toxic or caustic chemicals, risks of moving equipment and parts, and other risks associated with a manufacturing environment. Because of this environment and associated risks, coordination with shop floor managers/employees may be necessary before entering the shop floor, and use of job appropriate personal protective equipment and clothing is required on the shop floor. The noise level on the shop floor is often loud. This job may also require occasional or more frequent travel to and work at customer sites. While at customer sites, the employee may be exposed to fumes, airborne particles, toxic or caustic chemicals, risks of moving equipment and parts, and other risks associated with a construction and/or manufacturing environment. Because of this environment and associated risks, coordination with customer managers/employees may be necessary before entering the customer site, and use of job appropriate personal protective equipment and clothing is required at customer sites. The noise level at customer sites is often loud. Employment at Wagstaff is dependent on successfully passing a company-paid drug screening and background check upon hire. Benefits eligibility is subject to the terms and conditions of the applicable policies, plans and programs of Wagstaff. Wagstaff 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, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. PM22 Compensation details: 00 Yearly Salary PI8139f731484d-6007

Build the systems that test the technology shaping the future of RF and microwave communications. About the Company Mission Microwave Technologies was founded in 2014 to revolutionize the next generation of Solid-State Power Amplifiers (SSPAs) and Block Upconverters (BUCs). We leverage advanced GaN transistors, proprietary power-combining techniques, and innovative full-system designs to deliver the industry's most efficient, compact, and lightweight high-power SSPAs. With more than 100 years of combined leadership experience supplying high-performance, high-reliability RF solutions to commercial, military, and space customers, Mission Microwave has grown rapidly over the past decade and is backed by a private equity firm committed to long-term innovation and expansion. We are proud to be ranked on Fortune's Best Workplaces in Manufacturing & Production and to have been recognized as a Great Place to Work since 2022. Mission Microwave is headquartered at 6060 Phyllis Drive, Cypress, CA 90603. About the Role Are you a LabVIEW expert who loves building elegant, high-efficiency automation systems? Do you get energized by turning complex RF/microwave test requirements into software that is fast, accurate, and rock-solid? If so, you'll thrive as a LabVIEW Programmer at Mission Microwave Technologies. In this role, you will develop, optimize, and maintain the automated test and data-acquisition systems that ensure the performance and reliability of our cutting-edge RF and microwave products. You'll work at the intersection of software engineering, hardware validation, and hands-on lab work supporting both high-volume production and next-generation engineering development. What You'll Do Develop, debug, and maintain LabVIEW-based software for automated test systems, DAQ, instrument control, and engineering test benches.Interface with industry-standard RF/microwave instruments-signal generators, VNAs, spectrum analyzers, power meters, and more-across GPIB, USB, LAN, PXI, and other protocols.Collaborate with RF engineers, test engineers, and manufacturing teams to transform test requirements into scalable software architectures, test sequences, GUIs, and reporting tools.Ensure software reliably measures key RF/microwave performance metrics, including gain, power, efficiency, noise figure, and linearity.Apply modern software engineering best practices: modular design, clean code, documentation, version control, and maintainability.Upgrade and optimize legacy test platforms to enhance speed, reliability, and user experience.Provide hands-on support on the factory floor-troubleshooting hardware/software interactions, commissioning systems, and resolving issues quickly.Drive continuous improvement initiatives around automation workflows, data management, and instrument integration.Support new product introduction (NPI), ensuring test software scales with production throughput, yield, and quality goals.Participate in system integration and test-fixture discussions, aligning software architecture with hardware and manufacturing strategies. What You Bring Bachelor's degree in Electrical Engineering, Computer Engineering, Software Engineering, or a related technical field 5+ years developing LabVIEW applications in test automation or DAQ environments 3+ years experience with RF/microwave test and measurementHands-on experience controlling oscilloscopes, VNAs, signal generators, power meters, DAQs, and similar lab equipmentAdvanced proficiency in LabVIEW (G-language), including modular design and state-machine architecturesStrong understanding of GPIB, USB, Ethernet, LXI, and related instrumentation protocolsExcellent troubleshooting and root-cause analysis skills-especially for software/hardware interactionsAbility to work in a fast-paced lab and manufacturing environment with engineers, technicians, and QA teams Self-driven, detail-oriented, and collaborative, with a strong sense of ownership and responsibilityAbility to handle sensitive information with discretion Bonus Points LabVIEW certification (CLD, CLA)Experience with LabVIEW Analytics or Machine Learning ToolkitFamiliarity with Matlab, Python, and/or RExperience with GPUs, FPGAs, or NPUs At Mission Microwave, you don't just take a job; you step into a mission that matters. We design and build world-class RF and microwave solutions that power the technologies behind defense, space, and next-generation communications, and we do it with precision, purpose, and pride. Here, your ideas are heard, your expertise is trusted, and your impact is visible from the first design review to the moment our products perform in the most demanding environments on Earth and beyond. You'll work alongside intelligent, driven people who care deeply about craftsmanship, collaboration, and doing the right thing, in a culture that values growth, integrity, and human connection as much as technical excellence. If you're looking for a place where your work truly matters, where you can stretch, learn, and build something extraordinary with a team that has your back, Mission Microwave is where your next chapter begins. Apply Now. Mission Microwave is proud to be an Equal Opportunity Employer. We are committed to treating all employees and applicants with respect and dignity, and to maintaining a workplace free from unlawful discrimination and harassment. All qualified applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or any other characteristic protected by federal, state, or local laws. Mission Microwave maintains a drug-free workplace and conducts pre-employment background checks and, where permitted by law, substance-abuse testing. Many of our roles support U.S. Government programs and require the ability to obtain and maintain a security clearance. Security clearances may only be granted to U.S. citizens. Applicants who receive a conditional offer may be subject to government security investigations and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that Mission Microwave may share your application materials, including your resume and any related personal information or documentation, with its subsidiaries or affiliated partners strictly for the purpose of evaluating you for current or future employment opportunities. Compensation details: 00 Yearly Salary PIf82b6b465e22-8647

About the job Who we are: Circuit Check is the market-leading provider of automated test systems and test fixtures for complex electronic products for the automotive, military/aerospace, medical, industrial, and computer networking industries. At Circuit Check, we believe that innovation is a must, and that a challenging and robust environment where the work is consistently new and cutting edge is the best way to foster creativity. If you are ready to further your career in a fast-paced, technology driven organization where our test designs impact products that are used by millions of people around the world every day, then we invite you to join us at Circuit Check.Our design staff includes electrical, software, mechanical engineers, and project managers. Our systems are supported by staff throughout the United States, Canada, Mexico, Europe, Malaysia, and China. Primary Objective Lead the strategic development and growth of Circuit Check's most significant customer relationships in the AI/ML data center infrastructure market. Architect and execute multi-year account strategies that drive large-scale program wins, deepen executive-level partnerships, and position the company as the preferred technology partner for hyperscale and enterprise AI customers. This role does not carry a traditional sales quota; compensation includes bonus objectives tied to winning new large customers, capturing major programs, and expanding strategic account revenue. Major Areas of Accountability Strategic Account Leadership Develop and own multi-year strategic account plans for the company's largest AI/ML infrastructure customers, anticipating market shifts and positioning ahead of competitive threats Analyze customer technology roadmaps, capital expenditure patterns, and buying dynamics to identify high-value opportunities across GPU test, thermal management, power delivery, and related segments Serve as the primary executive-level interface with strategic accounts, building trusted advisor relationships with VP and C-suite decision-makers at hyperscale cloud providers, AI chipmakers, and data center operators Take decisive ownership of high-stakes negotiations, complex proposals, and multi-million-dollar program pursuits, differentiating Circuit Check solutions Cross-Functional Program Orchestration Coordinate engineering, product management and operations around customer requirements Partner with Product Line Managers to translate customer insights into product roadmap inputs aligned with AI/ML market direction Drive program management cadence for strategic accounts: pipeline reviews, executive business reviews, win/loss analysis, and quarterly assessments Market Intelligence & Growth Strategy Identify patterns in AI/ML technology adoption, supply chain shifts, and customer investment priorities that create strategic openings for Circuit Check Quantify new market opportunities through analysis of TAM, competitive dynamics, segment profitability, and technology adjacencies; present data-supported recommendations to senior leadership Build and maintain industry relationships across the AI/ML ecosystem, including suppliers, contract manufacturers, analysts, and technology partners worldwide International Business Development Develop and execute customer engagement strategies in key AI/ML hubs, with emphasis on Silicon Valley and Taiwan Navigate international business environments including multi-stakeholder decision processes and cultural dynamics across Asia-Pacific Represent the company at international conferences, trade shows, and executive briefings as an authoritative voice on AI/ML infrastructure Sales Team Collaboration & Mentorship Mentor less experienced sales team members on complex deal strategy, multi-stakeholder navigation, and executive engagement Partner with assigned account team members who maintain day-to-day relationships, providing strategic direction while developing their capabilities Collaborate with Sales Leadership to build playbooks and best practices for pursuing large AI/ML infrastructure programs Education & Experience Bachelor's degree in Engineering (Electrical, Mechanical, or related) required; MBA or advanced technical degree preferred 10+ years of progressive experience in strategic account management, business development, or program leadership in semiconductor, electronic hardware, test & measurement, data center infrastructure, or related technology sectors Track record of winning and managing multi-million-dollar programs with complex, multi-stakeholder customer organizations Strongly preferred: executive-level relationships at hyperscale cloud providers; experience in the AI/ML hardware ecosystem (GPU test/validation, liquid cooling, power distribution, rack-scale integration, or related infrastructure) International business experience preferred, especially in the Taiwan semiconductor ecosystem and/or SE Asian manufacturing Knowledge, Skills & Abilities Strategic & Analytical Thinking Ability to see patterns across complex data, customer behaviors, and market signals - and translate insights into actionable strategies and business cases Rigorous analytical skills: financial models, program economics, pricing structures, and competitive intelligence that inform decision-making Thinks several moves ahead - anticipating customer needs, competitive responses, and market evolution Organizational & Execution Leadership Natural ability to orchestrate multiple moving parts - people, timelines, resources, priorities - across complex programs and matrixed organizations Skilled at configuring cross-functional teams for maximum effectiveness, with the program management discipline to track interdependencies and keep engagements on schedule and budget Presence & Influence Commanding executive presence with confidence to lead negotiations, challenge the status quo, and drive decisions in ambiguous situations Willingness to take charge, confront difficult issues directly, and provide clear direction when the path forward is uncertain Exceptional communication skills - compelling narratives, proposals, and presentations for technical and executive audiences Industry & Technical Acumen Deep understanding of the AI/ML data center ecosystem: GPU architectures, training/inference infrastructure, thermal management, power delivery, rack integration, and test/validation Credible in technical discussions with customer engineering teams while maintaining a business-outcome focus; proficient with CRM platforms (Salesforce preferred) Compensation & Performance Structure This role does not carry a traditional sales quota. Compensation includes a competitive base salary plus bonus objectives tied to: Winning new strategic AI/ML customers and capturing large new programs with existing accounts Growth in strategic account revenue and program pipeline value Program execution milestones and customer satisfaction metrics Location & Travel Requirements Open to remote candidates in the United States, with a preference for candidates in the San Francisco Bay Area, California Travel expected up to 50%, including customer visits throughout the Bay Area, across the US, and periodic international travel to Taiwan and SE Asia Must possess a valid passport and ability to obtain required travel visas Physical Requirements These physical requirements must be performed with or without accommodation: Time split between office/home office, customer sites, and travel Ability to sit for extended periods; bend, reach, stoop, and twist as required Heavy computer use; occasional exposure to manufacturing or lab environments Ability to lift and carry up to 25 lbs This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. Pay and Benefits This job description reflects management's assignment of key responsibilities; it does not prescribe or restrict the tasks that may be assigned. Base pay is only one element of an employee's total compensation at Circuit Check. Employees (and their dependents in most plans) are covered by medical, dental, vision, basic life, short- and long-term disability and accidental death and dismemberment insurance. Employees are able to enroll in Circuit Check's 401k plan, in which the Company will match 50% of your contributions up to 6% with a maximum contribution. Paid time off includes vacation and sick time along with paid holidays. A summary of benefits can be provided by request via email to . Circuit Check, Inc. is proud to be an Equal Opportunity Employer. We do not discriminate based on identity, race, color, religion, national origin or ancestry, sex (including sexual identity), age, physical or mental disability, pregnancy, veteran or military status, genetic information, sexual orientation, marital status, or any other legally recognized protected basis under federal, state, or local law. Because Circuit Check is a federal contractor, we participate in the E-Verify program in certain locations, as required by law . click apply for full job details

About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies is looking for a Technical Product Manager to own the critical bridge between engineering execution and customer-ready software. At Zaden, product direction and delivery discipline are the same job - you'll define and protect MVP scope, drive the roadmap, and own the cadence that ships it. Reporting directly to the CEO, this is an individual contributor role with a clear, direct growth path to Head of Product. We're hiring for the function and the skill, not the title - if you've been doing this work under a different name (Senior PM, Product Lead, Technical Program Manager), we want to hear from you. Note: This position is either hybrid in Huntsville, Alabama or Remote w/ 10-20% travel. Role Responsibilities: Define and hold the MVP cut line for each product - no scope creep, no pre-launch feature drift Own and maintain the product roadmap across the full product portfolio in partnership with engineering Maintain an always-on demo environment; "demo-able in staging" is your definition of done Translate requirements from federal and enterprise customers into prioritized, precise engineering tickets Run structured user research and drive product decisions from evidence, not opinion Hold the honest line between selling the future and demoing the now Coordinate go-to-market timing for each shippable slice with sales and leadership Communicate fluidly in two directions - brief program managers in their language, write precise tickets for developers Required Qualifications: U.S. Citizenship and ability to obtain a security clearance 5+ years of product management or equivalent product delivery experience Demonstrated track record of taking a product from zero to one inside a complex organization with real stakeholders, competing priorities, and constraints Proven experience shipping software to paying customers - you know the difference between "capability exists" and "product is ready to sell" Technical fluency: able to hold scope conversations with engineers, read a pull request, and recognize when "almost done" is actually weeks away Proficiency with roadmap and delivery tools such as Jira, Linear, GitLab, etc Hands-on experience with AI assistants and agentic coding tools (e.g., Claude, Cursor, or Copilot) in daily work Experience in high-stakes, multi-stakeholder, regulated environments (defense, aerospace, government-adjacent, healthcare, finance, or similar) Bachelor's degree in a technical or quantitative field (computer science, software or systems engineering, information systems, electrical or mechanical engineering) or equivalent hands-on product experience Preferred Qualifications: Active security clearance Familiarity with DoD, federal research labs, or federal procurement, or enterprise software sold into government Experience delivering against government contract schedules or SBIR milestones Background in aerospace, defense tech, or engineering automation software Exposure to MBSE, systems engineering, or model-based workflows Familiarity with MBSE/SysML tooling such as Cameo/MagicDraw or SysML v2 Proficiency with product analytics tools such as Amplitude or Mixpanel, plus enough SQL to pull your own answers Experience with design and collaboration tools: Figma, Miro, Confluence, or Notion Cloud platform experience with AWS or Azure (GovCloud a plus) Master's degree in a technical field or MBA with a technology focus Product or agile certification (CSPO, Pragmatic Institute, or SAFe) or cloud certification (AWS or Azure) Expected Compensation: $150,000k-$170,000k/yr Compensation details: 00 Yearly Salary PIdaac27d6-

Description: Keep our engineers building the equipment that powers North America Since 1927, Sherman + Reilly has designed and manufactured the pullers, tensioners, reel trailers, and stringing blocks that electric utility crews trust to string transmission and distribution lines safely across the continent. Behind every machine is a team of mechanical, electrical, and design engineers and behind that team is the CAD and PDM environment that lets them do their best work. That environment is where you come in. We're looking for a CAD/PDM Systems Administrator to be the technical owner of our engineering design toolset: the person who keeps SolidWorks fast, the PDM vault healthy, the workstations dialed in, and engineering data flowing cleanly into the systems that build our products. This is a hands-on, individual-contributor role. You will manage platforms, applications, and data supporting a close-knit team of roughly 20 designers and engineers who depend on you to keep them productive. What you'll own Be the SME. Serve as our single, authoritative expert for SolidWorks, eDrawings, and SolidWorks PDM. The final escalation point for CAD/PDM issues and the trusted advisor to engineering and IT leadership on standards, strategy, and tooling. Administer the CAD software. Deploy and maintain SolidWorks and add-ins across the engineering fleet, roll out upgrades and service packs, standardize settings and templates, and validate every change in a dedicated test environment before it reaches production. Run the PDM vault. Own permissions, workflows, revision and lifecycle schemes, data cards, backups, and replication. Design release processes with Document Control, onboard new users, and keep the vault healthy. Optimize the workstations. Specify, configure, and tune engineering-class workstations for CAD, large-assembly, and FEA workloads. Maintain certified GPU driver, BIOS, and firmware standards and build repeatable deployment images. Own performance and reliability. Establish baselines and benchmarks, monitor stability and crash telemetry, drive root-cause analysis, and plan capacity and hardware refresh cycles ahead of demand. Connect the data. Support the Bill of Material (BOM) process and tooling, maintain CAD/PDM-to-ERP integrations, and close gaps in part numbering, metadata, and BOM structure, automating repetitive tasks through scripting and APIs where it helps. Manage licensing and documentation. Track SolidWorks (SolidNetWork License Manager) and third-party licenses for allocation, renewals, and audit readiness, and keep clear work instructions and standards that the whole team can follow. Support the broader toolset. Be the go-to resource for the other software and specialized hardware the engineering team relies on, including third-party applications and 3D printers. Requirements: What you bring Associate's or Bachelor's degree in Engineering, Engineering Technology, Computer Science, IT, or equivalent experience 5+ years hands-on administering and supporting SolidWorks in a production engineering environment Demonstrated SolidWorks PDM administration experience, vault setup, workflows, permissions, and troubleshooting Working knowledge of engineering-class workstation hardware, GPU/driver management, and Windows optimization Experience supporting the BOM process and an understanding of engineering data structures Strong root-cause troubleshooting across software, hardware, and integration layers Excellent documentation and communication skills, with the patience to support and train non-technical engineers Nice to have Experience integrating CAD/PDM data with ERP or PLM platforms (e.g., SAP) SolidWorks certifications (CSWP/CSWE) or PDM administration certification PowerShell or similar scripting for automation and configuration management Familiarity with manufacturing environments - wire, cable, or heavy equipment a plus Exposure to FEA/simulation workloads and workstation tuning Experience with endpoint management (Intune/Autopilot), Active Directory, and enterprise security tooling Why Sherman + Reilly Your work has weight. The engineers you support design equipment that keeps line crews safe and the grid energized. You'll see the impact on the shop floor, not just on a dashboard. Real ownership. This is the CAD/PDM role. You'll set the standards, make the tooling decisions, and be the expert the team turns to with the autonomy to do it right. A company that lasts. Nearly a century of manufacturing in Chattanooga, and a reputation as North America's leading name in line-stringing equipment. On-site and grounded. You'll work alongside the engineering team in our Chattanooga facility, with occasional time on the manufacturing floor where the products come to life. Planned system maintenance is scheduled outside core hours (Mon-Fri, 6:00 AM-5:00 PM) so our engineers stay productive. Ready to apply? If you're the person who genuinely enjoys making CAD and PDM systems run flawlessly and wants that work to matter we'd like to hear from you. Apply with your resume and a short note about your SolidWorks and PDM administration experience. Sherman + Reilly is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. Recruiter Notice: Sherman + Reilly does not accept unsolicited resumes from recruiters or staffing agencies. Any unsolicited resumes submitted to our employees, hiring managers, or Human Resources will become the property of Sherman + Reilly, and no placement fee or other compensation will be paid. PIdb2868d8daa2-5137

Description: As a Technical Project Lead (TPL) at Seek Thermal, you will own the technical critical path of one or more new-product programs-the chain of design decisions, integrations, and verifications that determines whether the product works and ships. You will be accountable for design outputs, design reviews, and technical trade-offs-working alongside program management while coordinating engineering across electrical, mechanical, software/firmware, optics, and systems to bring LWIR thermal imaging products from concept through production. The Technical Project Lead will report directly to the SVP of Engineering. This is not a remote Position RESPONSIBILITIES: The Technical Project Lead will own the technical critical path of new product development (NPD) programs through phase gates (concept through DV, PV, and production release)-know at all times which technical task gates the program, and keep the multidisciplinary team focused on it. Ensure design outputs and design-review materials are complete and defensible at every gate, and provide the technical readiness signal for gate sign-off. Make and document technical trade-offs (e.g., image quality, runtime, cost, architecture), with cross-functional approval for scope and design changes. Identify technical risks early, assess their critical-path impact, and drive mitigation of technical exposure across the program. Assign engineering tasks, drive technical status at program meetings in step with program management, and own design documentation and approvals per Seek's design-control process. Drive root-cause and corrective action (8D) when sensor, manufacturing, or integration failures threaten a milestone Ensure PRD requirements are testable and verification is defined before design gates; pull hardware/software integration risks off the critical path early. Provide technical deliverables (SOWs, specifications) for supplier engagements and represent engineering with customers, change control boards, and leadership. SKILLS KNOWLEDGE AND ABILITIES: The Technical Project Lead should possess hands-on embedded systems depth (e.g., RTOS debugging, multicore SoC/MPSoC platforms, I2C/SPI, MIPI CSI, hardware/software co-design) with independent technical judgment. Experience developing products under structured quality and development processes (e.g., functional safety, ASPICE, ISO 9001, or similar) within formal design controls. Fluency with phase-gate development, PRD/requirements management, DV/PV verification, 8D, RASIC, and planning tools (Jira, SmartSheets). Proven technical coordinator of distributed cross-functional teams and a clear communicator-holds a technical position, escalates cleanly, and commits once decided. Preferred: thermal/IR imaging (FPA/ROIC, NUC/AGC, LWIR optics), automotive qualification, semiconductor packaging/yield analysis, Agile/Scrum leadership. Requirements: • Bachelor's or Master's degree in Electrical Engineering, Software Engineering, Mechatronics, Physics, Optical Engineering, or related field. • 5+ years of engineering experience, including 2+ years owning the technical critical path of embedded hardware/software programs, with at least one shipped sensing or electro-optical product taken through production. • Must be a U.S. Person (U.S. citizen, lawful permanent resident, or protected individual) as required by ITAR/EAR export control regulations. PM18 Compensation details: 00 Yearly Salary PI352571a7c6-

Job Description Job Description About the Role Join a Series A AI-powered engineering automation startup that is reimagining computer-aided engineering (CAE) for the AI era. As an AI/ML Engineer , you will shape the future of simulation and design automation by building AI that thinks like an engineer. You'll design, train, and deploy models that accelerate simulation, improve accuracy, and unlock new ways of exploring the design space - from adaptive solvers and reduced-order modeling to generative design and real-time validation. You'll work alongside experts in engineering and applied AI to integrate machine learning directly into high-fidelity simulation pipelines, helping customers iterate faster, diagnose failures earlier, and bring better products to market. This is an early, foundational opportunity with real impact at a fast-moving startup. Visa sponsorship is available for this role. What You'll Do Research, design, and develop AI/ML algorithms to tackle complex challenges in computer-aided engineering, simulation, and design automation. Build scalable AI solutions and collaborate with cross-functional teams to integrate models seamlessly into existing CAE workflows and infrastructure. Lead performance improvements - from optimizing model accuracy to analyzing outputs and addressing system-level bottlenecks. Guide AI/ML projects end-to-end, from research and prototyping through to scalable production deployment. Partner with engineering domain experts to develop physics-informed and geometry-aware ML approaches. What We're Looking For Required: 4+ years of experience developing and deploying AI/ML models with a proven track record of delivering impact in applied engineering or scientific domains. 2+ years of technical leadership guiding AI/ML projects from research to production. Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, JAX, TensorFlow). Experience with AI/ML algorithms for sequential, spatial, or physics-informed data (e.g., time series, mesh, or simulation outputs). Familiarity with MLOps practices and building AI/ML systems end-to-end, from prototyping to scalable deployment. Bachelor's or advanced degree in Computer Science, Mechanical Engineering, Electrical Engineering, or a related field. Strong problem-solving skills and attention to detail with demonstrated project success. Ability to work collaboratively with cross-functional teams and communicate technical concepts effectively. Nice to Have: Experience with computer-aided engineering (CAE), computer-aided design (CAD), and/or product lifecycle management (PLM) tools (e.g., ANSYS, SolidWorks, Abaqus, COMSOL, CREO, Autodesk Inventor). Experience in a fast-paced, early-stage startup environment. Familiarity with proficiency in C++ or Java in addition to Python. Understanding of engineering principles in simulation, modeling, and optimization. Compensation & Benefits Salary: $150,000 - $250,000 USD per year, depending on experience. Early-stage equity opportunity. Work alongside a team with backgrounds from leading national labs, research institutions, and top-tier technology companies. Location This role is based on-site in San Francisco, California, USA . The company is headquartered in San Francisco and prefers candidates who can work from the office.

Description: We are seeking a motivated Applications Engineer to support our Skidded Solutions (liquid-filled medium voltage transformers, switchgear cabinets, inverters) in the solar and energy storage industries. The Applications Engineer will be responsible for interfacing with Customers (current and potential) in an effort to achieve revenue growth and customer acquisition objectives set forth by the Company. The Applications Engineer will review customer specifications, assist in determining and understanding client equipment needs, generate quotes, and engage in follow up conversations with the customer regarding open opportunities. The ideal candidate will possess strong technical expertise in mechanical design and practical integration, focusing on the design, optimization, and mechanical integration of structural skids with transformers and switchgear. The candidate will collaborate with cross-functional teams to develop solutions that meet customer requirements, industry standards, and regulatory compliance. This role involves working closely with sales, product management, design engineering, and customers to ensure optimal performance, reliability, and cost-effectiveness. Key Responsibilities : Technical Expertise: • Serve as a technical resource on the mechanical integration and optimization of skidded liquid-filled medium voltage transformers, switchgear cabinets and inverters for solar and energy storage applications. • Provide technical guidance on product selection, specifications, and customization to meet customer requirements. • Analyze technical problems and recommend solutions. Customer Support: • Work directly with customers to understand their needs, address inquiries, and recommend appropriate integrated design solutions. • Prepare and deliver technical presentations and proposals, including customer-facing quotes in support of the sales process. • Support sales with technical training and customer visits. Application Engineering: • Interpret customer specifications and industry standards to create accurate design requirements. • Collaborate with design engineering and manufacturing teams to ensure products are readily manufacturable and meet performance, reliability, and cost targets. • Develop and maintain technical documentation, including drawings, manuals, and data sheets. • Identify value engineering opportunities within integrated designs to optimize cost and capability in support of customer needs Project Support: • Assist in managing multiple projects, ensuring timely delivery of proposals, designs, and support. • Coordinate with supply chain and production teams to address lead times and resource planning. Industry and Standards Compliance: • Stay current with industry standards, codes, and regulations such as IEEE, IEC, UL and ASCE. • Ensure products and applications comply with environmental and safety regulations. Qualifications : • Bachelor's degree in Mechanical Engineering or a related field. • Minimum of 2-5 years of professional experience in application or mechanical design engineering, preferably with mechanical integration of electrical equipment • Experience in the solar or energy storage industries is a plus. • Solid knowledge of mechanical design principles and design for manufacturability • Familiarity with mechanical systems and pre-configured/skidded electromechanical assemblies • Proficiency in Mechanical design software and tools - SolidWorks and/or AutoCAD; FEA modeling a plus Electrical, Control systems and/or data acquisition & field monitoring proficiency a plus Soft Skills: • Strong communication and presentation skills. • Excellent problem-solving abilities and attention to detail. • Ability to work collaboratively in a cross-functional team environment. Certifications: • Professional Engineer (PE) license is a plus. Disclaimer: The statements above are intended to describe the general nature and level of work being performed. They are not an exhaustive list of all responsibilities, duties, or skills required. Forgent Power reserves the right to modify, interpret, or apply this job description as needed. Equal Employment Opportunity Statement: Forgent Power is an equal opportunity employer. We are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected class. Requirements: PIc5d3b-9955

Description: Reports To Assistant Manager of Test Engineering Location: Huntsville, AL POSITION SUMMARY: The Test Engineer II serves as a key contributor within the Test Engineering Team at the Huntsville Factory. This role is responsible for supporting, developing, and enhancing test software, hardware, and automation infrastructure, including the use of Python, C#, and MySQL-based solutions to improve test automation, data acquisition, analysis, reporting, and system performance. The Test Engineer II independently executes mid-level engineering projects while mentoring junior engineers and supporting continuous improvement initiatives. ESSENTIAL DUTIES AND RESPONSIBILITIES: Develop, improve, and maintain test software and hardware systems. Support ICT and EOLT system implementation and upgrades Develop and maintain automation scripts, test applications, and data analysis tools using Python and C# to improve test efficiency, data collection, reporting, and process control. Design, maintain, and support MySQL databases used for test data storage, retrieval, analysis, and reporting. Perform in-depth root cause analysis of test failures and implement corrective actions. Read and interpret electrical schematics and debug PCBs to the component level. Lead small-scale improvement projects and collaborate cross-functionally Maintain and repair test fixtures and equipment to ensure uptime and accuracy. Contribute ideas to improve processes and system performance. EXPERIENCE AND EDUCATIONAL REQUIREMENTS: BSEE or related field of study required. 3-6 years of hands-on experience with ICT/EOLT and PCB-level troubleshooting. Intermediate proficiency in C/C++, C#, Python, LabVIEW, CVI, or Visual C. Experience developing test automation, data analysis, and manufacturing support applications using Python and C# Working knowledge of MySQL database design, query development, and data management. Familiarity with both Windows and Linux operating systems. Proficient in Microsoft Excel, Word, and Outlook. SKILLS, KNOWLEDGE & ABILITIES: Strong understanding of analog, digital, and mixed-signal circuits. Effective communicator and proactive team player. Solid multitasking and time management skills. Competency in soldering and rework of through-hole and SMD components. WORK ENVIRONMENT: The work environment characteristics described here are representative of those an associate encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions: The noise level in the work environment is generally quite. PHYSICAL & MENTAL REQUIREMENTS: The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions: Sedentary physical activity requiring reaching, lifting, finger dexterity, grasping, feeling, repetitive motions, talking and hearing. Visual requirement is for close vision, distance vision, peripheral vision and ability to adjust focus. 80% or more time is spent looking directly at a computer. Employee is occasionally required to stand, walk (or otherwise be mobile). Ability to deal with stressful situations as they arise, apply common sense understanding to carry out detailed but uninvolved written or oral instructions, deal with problems involving a few concrete variables in standardized situations. Requirements: PI11501b9ff70e-6799

Job Description Job Description About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Role Description We're scaling the deployment of critical infrastructure monitoring devices to detect real-world fault events that lead to wildfires. The platform you'll build and operate ingests millions of events per day from devices in the field, powers customer-facing dashboards and alerting, and supports the data science work that turns raw signals into grid intelligence. You will own AWS infrastructure, Kubernetes (EKS), CI/CD, and observability end-to-end, partnering with our Cloud Security team to keep the platform safe and compliant, and with backend, firmware, and data teams to keep them shipping fast. As an early member of the DevOps team, you'll have a direct hand in shaping how Gridware builds, deploys, and runs production systems for years to come. Responsibilities Design, build, and operate scalable, secure, and highly available cloud infrastructure across AWS. Own and evolve our Kubernetes platform, enabling reliable application deployment and operations through GitOps best practices. Build and maintain CI/CD systems that improve developer velocity, release quality, and operational reliability. Manage and optimize event-driven infrastructure powering high-volume telemetry and device data pipelines. Define and maintain Infrastructure as Code standards, ensuring consistency, repeatability, and scalability across environments. Develop and enhance observability, monitoring, and incident response capabilities to support reliable production operations. Partner closely with Security and Engineering teams to strengthen platform security, access management, and operational resilience. Troubleshoot complex production issues, drive root cause analysis, and turn lessons learned into automation, tooling, and operational improvements. Required Skills 5+ years of experience in DevOps, SRE, or Platform Engineering operating production AWS environments Deep expertise with Kubernetes (EKS preferred), GitOps workflows (Argo CD/Flux), and Infrastructure as Code (Terraform) Strong experience building and maintaining CI/CD pipelines, ideally with GitHub Actions Hands-on experience operating distributed systems and cloud-native platforms (e.g., Kafka/MSK) Solid understanding of networking, DNS, TLS, identity/access management, and cloud security best practices Experience with observability, monitoring, and logging tools such as Grafana, Prometheus, Loki, or similar Strong Linux, scripting, and troubleshooting skills with the ability to debug complex production issues end-to-end Bonus Skills Experience operating Apollo Router / GraphQL federation gateways in production. Experience operating Argo Workflows or similar Kubernetes-native job / pipeline runners in production. Familiarity with Databricks or ML Ops pipelines for data and model deployment. Experience designing, operating, and exercising Disaster Recovery (DR) environments, including cross-region replication, backups, and tested failover runbooks. Experience with Tailscale or other zero-trust networking tools. Experience supporting IoT / embedded fleets at scale, including secure device-to-cloud connectivity. Experience in high-growth startup environments where you must wear many hats. This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply! Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Benefits Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) Paid parental leave Alternating day off (every other Monday) "Off the Grid", a two week per year paid break for all employees. Commuter allowance Company-paid training

This opportunity is for U.S. citizens who have served in the U.S. Armed Forces including Reserves, National Guard, and service member spouses. How would you like to be a part of Earth's most customer-centric company? You would work with teams of front-line responders who support the operations of some of the world's most powerful data centers. Our Data Center Engineering Operations team maintain and operate our critical infrastructure systems so that they are prepared to stand up against any situation. AWS has the world's largest cloud computing portfolio. As an Amazonian you will work in some of the most sophisticated, safe, and secure data centers in the world. Our Chief Engineers (CE) help keep them that way by working with the brightest minds from around the globe to help test and implement the newest technology and work practices to meet the demands of a changing market. We have a passion for learning and evolving, it's how we have helped define ourselves as leaders in the industry. Let's work hard, have fun, and make history! Key job responsibilities - Act as the primary escalation point for all facilities-related issues. Oversee operation and management of routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc. - Perform root cause analysis of equipment failures, and troubleshooting of facility within internal Service Level Agreements (SLA). - Provide training and guidance to Engineering Operations Technicians and responsible for working with Facility Manager (FM) to set team culture. - Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams - May assist in the build out of new facilities and assist in projects to increase current facility efficiency - Working outside of normal business hours for routine maintenance as required, including responding to out-of-hours emergency calls. - Communicate complex technical information to a non-technical audience. - Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency - Ensure all safety procedures are adhered to by vendor and Amazon staff - Establish building performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility operations and maintenance. - Utilize Microsoft Excel, Word, Outlook and other basic administrative tools to perform day to day tasks Physical Requirements: Willingness and demonstrated ability to work in the following physical conditions with reasonable accommodations: - Regularly lift and/or move up to 39 pounds independently - Participate in group lifts for 40+ pounds - Maintain balance and perform construction tasks while on a ladder - Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position - Work in an environment requiring provided ear protection A day in the life This role acts as Amazon's front line when it comes to hands-on electrical and mechanical equipment troubleshooting. They maintain, operate, and troubleshoot mission-critical data center facility equipment including electrical support equipment that supports servers that must maintain better than 99.999% uptime. Equipment will include but is not limited to stand-by diesel generators and related fuel systems, 3 phase electrical systems such as switchgear, UPS units, PDUs, and wet cell batteries and associated systems. Mechanical equipment includes CRAHU units, centrifugal chillers, cooling towers, water systems, air handlers and associated systems, pumps, and motors. Additional support equipment is included in the scope of the role which includes fire/life safety equipment, building automation systems, and general facilities equipment. The CE directs, trains and supports technicians in their role of providing hands-on electrical and mechanical equipment troubleshooting and operations. Implementation and execution of site/equipment-specific training exercises is also expected. They manage projects from conception to completion. These projects involve independent work as well as collaboration with external support groups including engineering, automation, processing, and finance in both local and global settings. The CE will be tasked with creating and delivering on key milestones, obtaining and tracking quotes for all necessary costs, and documenting project results for future implementation at other facilities. About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 3+ years of Microsoft Office products and applications experience - 3+ years of mission critical facilities (example: hospital, military facility, public safety facility, etc.) experience including industrial electrical and mechanical systems - Experience with reading and writing procedures, technical documents, and engineering drawings PREFERRED QUALIFICATIONS - Experience in data center engineering or operations - Experience in construction or project management - Experience leading technical teams through daily operations and maintenance evolutions - Must be able to work in an environment that involves walking, stooping, bending, and climbing to access equipment. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NV, Sparks - 96 300.00 USD annually

Job Description Job Description: About Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds.About You and The Role Zipline is seeking a Senior RF Desense Engineer to lead the architecture, analysis, mitigation, validation, and long-term improvement of RF desense performance across our autonomous aircraft and ground infrastructure. You will own receiver desense engineering from early system architecture through hardware integration, validation, manufacturing, certification, and field deployment. You will work across wireless platforms supporting 4G LTE, 5G NR, GNSS, Wi-Fi, ADS-B, UAT, Bluetooth, ISM radios, emerging Vehicle-to-Vehicle (V2V) communications, and future air-to-ground communication systems, ensuring receivers maintain robust performance despite increasingly dense RF and electronic environments. This role also owns the end-to-end electromagnetic shielding architecture across Zipline's wireless platforms. You will define shielding strategies spanning RF integrated circuits, front-end modules, connectors, cable harnesses, line-replaceable units (LRUs), subsystem enclosures, and complete products to control both internally generated and externally coupled interference. Working closely with electrical, mechanical, antenna, manufacturing, reliability, and systems teams, you will develop scalable shielding solutions that enable simultaneous operation of multiple high-power transmitters and high-sensitivity receivers-including precision GNSS systems-while meeting aggressive performance, reliability, manufacturability, weight, cost, and product lifetime requirements. While the primary focus of this role is receiver desense, you will also support broader RF coexistence efforts by contributing to system-level interference analysis, radio scheduling strategies, and multi-radio integration. You will collaborate closely with antenna, RF front-end, electrical, embedded software, systems, mechanical, flight test, manufacturing, reliability, certification, and cloud engineering teams to ensure Zipline's wireless systems perform reliably under real-world operating conditions.What You'll DoOwn RF desense architecture, analysis, mitigation, validation, and production support across Zipline aircraft, docks, droids, Zipping Points, and future autonomous logistics platforms.Develop receiver desense budgets and performance requirements for next-generation wireless platforms.Identify and mitigate receiver sensitivity degradation caused by onboard transmitters, switching power supplies, processors, high-speed digital interfaces, displays, motors, power electronics, and other electronic subsystems.Analyze conducted and radiated interference mechanisms including broadband noise coupling, harmonics, spurious emissions, blocking, intermodulation, passive intermodulation, and electromagnetic compatibility.Characterize RF coupling paths through PCBs, cables, antennas, enclosures, mechanical structures, power systems, and wiring harnesses.Develop practical mitigation strategies including shielding, filtering, grounding, PCB layout optimization, clock management, power supply noise reduction, frequency planning, and antenna isolation improvements.Define RF design guidelines that minimize desense risks early in product development.Define Zipline's end-to-end electromagnetic shielding architecture spanning RF ICs, front-end modules, PCB assemblies, connectors, cable harnesses, LRUs, subsystem enclosures, and complete products.Develop shielding strategies that minimize self-generated and externally coupled RF interference while balancing size, weight, thermal performance, manufacturability, serviceability, reliability, and cost.Specify shielding requirements for RF circuits, mixed-signal electronics, switching power supplies, processors, high-speed digital interfaces, motors, and power electronics to prevent receiver degradation.Design connector and cable interconnect shielding architectures including shield termination, grounding topology, common-mode current control, cable routing, connector selection, and bonding methods to minimize conducted and radiated emissions.Develop subsystem-level shielding strategies defining enclosure construction, gasket selection, aperture control, seam treatment, venting approaches, conductive coatings, and grounding interfaces to achieve predictable electromagnetic isolation.Lead product-level shielding architecture to ensure emissions from all subsystems remain below receiver susceptibility thresholds while supporting simultaneous operation of multiple transmitters and sensitive receivers.Develop shielding methodologies that enable reliable integration of LTE, 5G, GNSS, Wi-Fi, Bluetooth, ADS-B, UAT, ISM radios, telemetry, command-and-control, V2V communications, and future wireless technologies operating concurrently.Drive shielding design decisions through simulation, laboratory characterization, near-field scanning, EMI/EMC testing, environmental testing, flight testing, and structured root-cause analysis.Establish shielding design standards, verification methodologies, acceptance criteria, production inspection processes, and long-term design guidelines across Zipline's hardware platforms.Partner with mechanical engineering to design lightweight, manufacturable shielding solutions that maintain performance over the full environmental and operational life of the product.Define shielding strategies that protect high-precision GNSS receivers from onboard interference sources, enabling robust positioning performance under simultaneous multi-radio operation and dynamic flight conditions.Perform RF system analysis including receiver sensitivity, cascaded noise figure, blocking performance, dynamic range, interference budgeting, and system margin analysis.Collaborate closely with RF front-end and antenna engineers to optimize signal chains, antenna placement, installed performance, and isolation.Support PCB layout reviews, grounding strategies, shielding implementation, stack-up definition, and design-for-manufacturing activities.Develop laboratory validation methods using spectrum analyzers, vector network analyzers, vector signal analyzers, signal generators, near-field probes, OTA chambers, EMI receivers, and conducted RF measurements.Plan and execute RF desense characterization, conducted and over-the-air testing, environmental qualification, production verification, and flight testing.Investigate RF performance issues using laboratory measurements, simulation, production data, and structured root-cause analysis.Support RF coexistence activities including multi-radio interference analysis, wireless integration, radio scheduling strategies, and system-level performance optimization.Support regulatory and carrier certification activities including FCC, CE, ISED, PTCRB, GCF, carrier acceptance, aviation certifications, and international wireless and EMC certifications.Work closely with suppliers and manufacturing partners to establish RF acceptance criteria, production test methods, calibration procedures, shielding validation processes, and quality controls.Mentor engineers and help establish RF desense methodologies, shielding architectures, debugging processes, validation standards, and long-term RF performance roadmaps.What You'll BringBachelor's degree in Electrical Engineering or a related technical field.Typically 7 or more years of professional experience developing RF hardware or wireless communication systems for production products.Strong understanding of RF receiver architecture, cascaded receiver performance, sensitivity, noise figure, blocking, dynamic range, selectivity, and receiver optimization.Demonstrated experience investigating and resolving RF desense issues within complex wireless systems.Demonstrated experience developing shielding architectures from RF circuit level through complete products, including PCB shielding, connector shielding, cable shielding, enclosure design, subsystem isolation, LRU-level shielding, and product-level electromagnetic containment.Strong understanding of electromagnetic coupling mechanisms including conducted emissions, radiated emissions, harmonics, intermodulation, passive intermodulation, broadband digital noise, common-mode currents, grounding topology, shielding effectiveness, enclosure resonance, and practical mitigation techniques . click apply for full job details

Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD

Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD

Job Description Job Description Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that's why we're building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver , our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Our robotics team is growing and we are looking for a Software Engineer to join our Sensor Data and Calibration team. We are searching for an engineer with robotics and machine learning expertise to develop synthetic sensor simulation models and algorithms. The ideal candidate has hands-on experience in the research, development, and implementation of machine learning methods (e.g., NeRF or Gaussian splatting) for generating synthetic sensor data (photorealistic images, realistic lidar and/or radar, etc.). About the Work Research, develop, and implement state-of-the-art synthetic sensor simulation methods Analyze and characterize the realism and utility of synthetic sensor data Answer critical questions about sensor data and autonomy performance Collaborate with stakeholders across autonomy, infrastructure, and systems teams on map needs and requirements Role is scoped as a Senior/Staff IC with the flexibility to grow into a Tech Lead/TLM. About You One of PhD in machine learning, computer science, electrical engineering, robotics, or related field, and 3+ years of industry experience Masters and 4+ years of industry experience 5+ years of industry experience Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax Bonus Points Deep understanding of 3D geometry and state estimation fundamentals Proficiency in systems coding Experience in simulating/modeling real sensors (camera, lidar, radar, IMU, etc), including noise modeling Experience in modern ML graphics techniques, e.g., NeRF, Gaussian Splatting, and/or generative models. Experience in building ML pipelines and optimizing/productizing ML models Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA) At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $193,930 and $291,150 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

Job Description Job Description About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Responsibilities Develop algorithms that improve the speed, accuracy, and reliability of Gridware's automated hazard detection systems Work with multimodal time-series and spatial sensor data across diverse sampling rates and noise characteristics. Design models that are robust, interpretable, and deployable in production environments. Live in the data; help curate & share strategic & well-defined datasets that help solve our highest-value challenges Explore advanced approaches such as graph-based learning for grid topology reasoning, geospatial modeling and localization and multimodal fusion across acoustic, magnetic, vibration, electrical, and visual signals Production Engineering Write clean, scalable, well-tested Python code that integrates into a large shared codebase. Build end-to-end ML pipelines including data processing, feature extraction, training, evaluation, and deployment. Optimize models for performance, reliability, and real-world constraints. Collaborate on infrastructure for model monitoring, validation, and continuous improvement. Collaboration & Communication Translate complex analyses into clear insights for engineers, operators, and leadership. Frame solutions to ambiguous, open-ended problems to achieve buy-in from various stakeholders by focusing on the business impact of your projects Communicate uncertainty, tradeoffs, and model behavior effectively. Partner cross-functionally with software, data engineering, product, and event-reporting teams. Help shape technical direction and best practices for ML at Gridware. This includes exemplifying standards for experiment tracking, model versioning, reproducibility, and lifecycle management. Required Skills 5+ years of experience in machine learning, signal processing, or applied physics in production environments. Strong programming skills in Python and experience contributing to large, shared codebases. Experience working within modern software stacks, including cloud platforms, containerization, and CI/CD workflows Excellent written and verbal communication, especially explaining data and models clearly. Bonus Skills Experience with Graph Neural Networks or learning over physical/topological systems. Familiarity with power systems, embedded sensing, or edge ML. Proven experience with time-series modeling and noisy real-world sensor data. Experience with multimodal learning or sensor fusion. Track record of technical leadership or mentoring. This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply! Benefits Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) Paid parental leave Alternating day off (every other Monday) "Off the Grid", a two week per year paid break for all employees. Commuter allowance Company-paid training

Job Description Job Description We are seeking a highly skilled Machine Learning Engineer with deep expertise in developing Bird's Eye View (BEV) fusion models using multimodal sensor inputs, particularly LiDAR. You will play a central role in designing scalable perception algorithms that integrate data from camera, LiDAR, and radar sensors to support autonomous driving and 3D scene understanding. Responsibilities: Design, implement, and optimize BEV-based perception models that fuse camera, LiDAR, and radar inputs. Benchmark perception models using large-scale datasets and well-defined quantitative metrics. Collaborate cross-functionally with research, data, and deployment engineers to refine models and support real-world applications. Maintain a strong focus on performance, robustness, and scalability for deployment in production systems. Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts. Ensure team compliance with QMS, monitor quality, and drive process improvements. Required Skills: Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related field. Ph.D. new grad or Masters + 3 years industry experience Proficiency in Python and experience building deep learning pipelines. Strong expertise in PyTorch, TensorFlow, or JAX. Proven experience with LiDAR-based 3D perception and BEV representation models Deep understanding of multimodal sensor fusion architectures and techniques. Familiarity with camera, LiDAR, and radar modalities and their synchronization, calibration, and integration in perception pipelines. Solid foundation in computer vision, deep learning, and 3D geometry. Preferred Skills: Industry or academic experience in autonomous vehicle perception, robotics, or related areas. Hands-on experience developing deep learning models in real-world or production environments. Experience with distributed training, high-performance computing, or GPU acceleration. Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description itD is seeking an RF Integration Engineer to support the bring-up, simulation, integration, validation, and optimization of next-generation antenna and radio designs. This role plays a critical part in ensuring wireless/RF subsystem performance meets quality and reliability standards while improving testing efficiency through automation. The ideal candidate will bring hands-on experience in RF hardware development, wireless testing, and automation, with a proven ability to deliver accurate performance analysis and technical recommendations. Location: 100% onsite in San Jose, CA Duration: 12 months Pay Rate: $27 - $27.69 (hourly) We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities: Assist with the bring-up, integration, simulation, and validation of RF and antenna designs throughout the product development lifecycle. Test and evaluate wireless/RF subsystem performance against established design specifications and quality metrics. Develop and maintain automated test solutions using Python, MATLAB, C++, LabVIEW, or similar tools to improve testing efficiency and repeatability. Operate and troubleshoot RF test and measurement equipment, including network analyzers, spectrum analyzers, vector signal analyzers/generators, power meters, traffic generators, and wireless sniffers. Generate detailed test reports, analyze performance data, and present findings and recommendations to engineering and cross-functional teams. Collaborate with Hardware Engineering, Software Engineering, Product Management, Supply Chain, and Compliance teams to support product development and validation efforts. Support wireless certification activities, test plan development, and performance verification for wireless technologies and RF subsystems. Utilize simulation and design tools to evaluate RF performance and support design optimization activities. Internal Responsibilities: Attend regular internal practice community meetings. Collaborate with your itD practice team on industry thought leadership. Complete client case studies and learning material (blogs, media material). Build out material to contribute to the Digital Transformation practice. Attend internal itD networking events (in person and virtual). Work with leadership on career fast-track opportunities. Required Qualifications and Skills: Bachelor of Science in Electrical Engineering (BSEE) required; Master of Science in Electrical Engineering (MSEE) preferred. Minimum 3+ years of experience in hardware product development, RF testing, and validation. Proficiency with one or more automation and software development tools, including Python, C++, MATLAB, and/or LabVIEW. Hands-on experience using RF and microwave test equipment, including: Network Analyzers Spectrum Analyzers Power Meters Vector Signal Analyzers and Generators Traffic Generators Wireless Sniffers Strong understanding of wireless architectures, including radio front ends, antennas, amplifiers, RF switches, filters, and couplers operating from 450 MHz to 7125 MHz. Knowledge of wireless networking concepts, including path loss models, channel models, and traffic generation methodologies. Familiarity with RF simulation and design tools such as ADS, CST, HFSS, and schematic/layout tools such as Cadence, or demonstrated willingness and ability to learn. Working knowledge of digital and analog electronics and hardware product development lifecycles. Strong analytical, troubleshooting, and technical communication skills. Preferred Qualifications and Skills: Experience with wireless technologies including WLAN, Bluetooth/BLE, LTE, 5G FR1, and WPAN. Experience developing test plans and supporting global wireless certification processes. Experience collaborating with Radio Compliance, RF Design, Hardware Engineering, and cross-functional development teams. Ability to perform component-level rework, including 0402 SMT components, and use soldering equipment. Experience navigating and manipulating ECAD (PCB/Layout) and MCAD (.stp) files. Familiarity with antenna performance characterization and RF system integration activities. Education: Bachelor's degree in Electrical Engineering (BSEE) required; Master's degree (MSEE) preferred. Company Description About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client. You'll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints. The itD Digital Experience: Joining us means you'll be part of our global community, you have a say about your own career journey, and you'll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking & career learning and development programs. We are growing and we want to see you grow! Visit to learn more about what working at itD can mean for you. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please contact us at and let us know the nature of your request and your contact information. Additional Info Dynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today!