Requirements Engineer jobs at Bowman Enterprises - 12702 jobs

San Francisco Bay Area, California, United States Hardware The Wireless SoC Radio Team designs state‑of‑art highly energy efficient CMOS radios, from RF to bits. To deliver these radios, our team is responsible for the design of a wide range of RF, analog, and mixed‑signal blocks from RF front‑end amplifiers to data converters, including baseband filters, baseband and RF phase‑locked loops, crystal oscillators, and bandgap references. Description As an RFIC Layout Engineer, you will be a key member of a RFIC team, researching, designing and bringing the next‑generation of wireless technologies into high‑volume production in advanced CMOS technology nodes. Responsibilities Detailed transistor‑level layout of RF and analog circuit blocks including LNA, mixers, PLL, LO generation, modulators, power amplifiers, ADC/DAC, baseband filters, and bandgap/bias/LDO. Block level layout through full verification flow including extraction, DRC, LVS, and DFM checking. Co‑work with designers on block level floorplanning. Layout review for power/gnd routing, electromigration, signal path check, differential and IQ matching, and signal coupling. Minimum Qualifications BS and 3+ years of relevant industry experience. Preferred Qualifications Experience in custom RF/analog layout for radio transceivers with extensive knowledge of deep sub‑micron CMOS. Knowledgeable in layout techniques for device matching, minimizing parasitics, RF shielding, and high frequency routing. Solid understanding of RC delay, electromigration, and coupling. Understanding of guard rings, DNW, PN junctions, and advanced process effects such as LOD and WPE. High level proficiency in interpretation of CALIBRE DRC, ERC, LVS in FinFet Technology. Knowledge of CADENCE layout tools. Scripting skills in PERL or SKILL. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $141,800 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

A leading AI technology firm based in San Francisco is seeking GenAI Engineers at various levels to drive the development of innovative GenAI-powered products. This role involves shaping AI features, developing LLM technologies, and collaborating with cross-functional teams. Ideal candidates should have 2-8 years of ML engineering experience and proficiency in Python and TensorFlow/PyTorch. A competitive pay range of $166,000 to $210,250 USD is offered, along with comprehensive benefits. #J-18808-Ljbffr

A leading technology company in Sunnyvale, California, is seeking a Machine Learning Engineer to design and implement cutting-edge conversational and generative AI systems. This role combines machine learning research and product engineering, requiring strong expertise in deep learning, natural language processing, and Python programming. Candidates should have relevant advanced degrees and hands-on experience with ML frameworks. Apple offers competitive compensation and a robust set of benefits including health coverage and stock options. #J-18808-Ljbffr

Plumbing Engineer (EIT or PE) Onsite in Memorial City Direct Hire with Benefits, PTO We're seeking a motivated Plumbing Engineer (EIT or PE) to join a collaborative MEP (Mechanical, Electrical, and Plumbing) engineering team. Revit and MEP experience are both required. Resumes without Revit and MEP will not be considered. ***If you're interested in this opportunity, please apply here or send your resume directly to *************************** --No Corp to Corp at this time, please. --All candidates must be able to work for any employer in the United States without current or future sponsorships needs. In this role, you'll contribute to designing innovative and sustainable plumbing systems for educational, commercial, and institutional projects. You'll gain hands-on experience working with senior engineers, learning the full design process-from concept to construction-while building a strong foundation for your professional growth. Key Responsibilities Assist in the design and documentation of plumbing systems, including domestic water, sanitary waste, storm drainage, and fire protection. Perform engineering calculations and support the production of AutoCAD and Revit drawings. Review shop drawings, RFIs, and submittals related to plumbing system design. Conduct field observations to verify installations and ensure alignment with design intent. Collaborate with cross-discipline teams to deliver high-quality, coordinated construction documents. Requirements Bachelor's degree in Mechanical Engineering or a related field. Successful completion of the Fundamentals of Engineering (F.E.) exam. Certified or eligible for certification as an Engineer-in-Training (EIT) or PE (Professional Engineer). Experience with Revit. Excellent attention to detail, organization, and problem-solving skills. Ability to manage multiple projects while collaborating effectively in a team environment. Familiarity with AutoCAD, Bluebeam, and Microsoft Office Suite. Working knowledge of plumbing and mechanical codes (Uniform Plumbing Code, NFPA standards). Prior internship or experience in an MEP consulting environment. Understanding of water distribution, drainage, gas, and fire protection systems. What We Offer: Competitive salary commensurate with experience. Comprehensive health insurance, 401(k), and paid holidays/PTO. Mentorship and professional development opportunities. Exposure to diverse and meaningful building projects. A collaborative, supportive team environment that values innovation and growth.

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. Export Control Requirement Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Role Overview This position is part of the Satellite Attitude Determination and Control team. You will design and analyze the control system and algorithms, support development of flight hardware and software, help integrate the satellite in labs, participate in flight operations, and observe a constellation of satellites flow through the production line in the building next door. Key Responsibilities Design and analyze algorithms for estimation, flight control, and precise pointing using linear methods and simulation. Develop and apply models and simulations of the satellite and our constellation with various levels of fidelity. Perform component level environmental testing, functional and performance checkout, subsystem integration, satellite integration, and in‑space operations. Manage the spacecraft constellation as it grows and evolves. Continuously improve our ability to serve customers by maximizing payload operations time. Develop autonomy for Fault Detection and Isolation on board the spacecraft. A Day in the Life This is an opportunity to play a significant role in the design of an entirely new satellite system with challenging performance requirements. The large, integrated constellation brings opportunities for advanced capabilities that need investigation and development. The constellation size also puts emphasis on engineering excellence so our tools and methods, from conceptualization through manufacturing and all phases of test, will be state of the art as will the satellite and supporting infrastructure on the ground. You will find that Amazon Leo's mission is compelling, so our program is staffed with some of the top engineers in the industry. Our daily collaboration with other teams on the program brings constant opportunity for discovery, learning, and growth. About the Team Our team has lots of experience with various satellite systems and many other flight vehicles. We have bench strength in both our mission and core GNC disciplines. We design, prototype, test, iterate and learn together. Because GNC is central to safe flight, we tend to drive Concepts of Operation and many system level analyses. Basic Qualifications PhD, or Master's degree and 4+ years of quantitative field research experience. Experience investigating the feasibility of applying scientific principles and concepts to business problems and products. Experience analyzing both experimental and observational data sets. Preferred Qualifications Knowledge of R, MATLAB, Python or similar scripting language. Experience with agile development. Experience building web‑based dashboards using common frameworks. 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, WA, Redmond - 136,000. - 184,000.00 USD annually. #J-18808-Ljbffr

A leading media company is seeking a Technology Operations Engineer in San Francisco. This role involves end-to-end ownership of technology support for global productions, technical aptitude, and collaboration with diverse teams. Required qualifications include over 4 years of relevant experience and strong proficiency in Linux and site reliability engineering. This position offers a competitive salary and opportunities for professional development in a dynamic environment. #J-18808-Ljbffr

A leading tech company in San Francisco seeks a Trust and Privacy Engineer to enhance customer trust across diverse devices. The role involves architecting AI-powered platforms and integrating trust principles. Candidates should have 2+ years of experience, proficiency in web protocols, and programming skills. A strong understanding of security and privacy is crucial. This is a full-time role with a collaborative team focusing on innovative trust solutions. #J-18808-Ljbffr

Software Guidance & Assistance, Inc., (SGA), is searching for a Splunk Engineer for a contract assignment with one of our premier SaaS clients in either one their locations in San Francisco, CA; Denver, CO; Austin, TX; Lehi, UT; Seattle, WA; Portland, OR; Boston, MA; Los Angeles, CA; Chicago, IL; College Park, MD; Arden Hills, MN; McLean, VA; San Jose, CA; New York, NY. Must Have: Understanding of Observability systems 3+ years Python Development 3+years building tools around Splunk Building Rest APIs Responsibilities: This role will join our Observability team, specifically working on our Splunk infrastructure. It will be responsible for improving some of our internal APIs and infrastructure-as-code deployments. The ideal candidate will have experience with Splunk, Python, Infrastructure as Code, AWS, Configuration Management (Salt) and Deployment tools (Github Actions, Jenkins, etc). Required Skills: Experience with logging systems like Splunk Programming experience with languages like Python; Building REST APIs Experience working with Gitops or infrastructure-as-code Experience designing and implementing systems for fault tolerance, scalability and stability. Experience developing, deploying and running distributed applications on cloud platforms. Ensure the highest level of up-time and Quality of Service (QoS) to Adobe's customers through operational excellence Knowledge of (public and/or private) cloud Experience in designing and maintaining production monitoring systems Experience in solving performance and stability issues using a wide variety of tools Exceptional communicator in and across teams, driving projects to completion Impacts the organization through contribution to technical direction and strategic decisions. Bachelor's Degree and 1-3 years of experience required SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at ******************* . SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy.

Opportunity available for an experienced Back-End Developer for a contract, hybrid role (W2 only; no 3rd parties or C2C) to design, develop, and maintain scalable backend services. The ideal candidate will have strong experience with Java, Kotlin, Spring, and PostgreSQL, along with expertise in building and consuming RESTful APIs and developing microservices architectures. You will collaborate with cross-functional teams to deliver secure, high-performing, and maintainable solutions while contributing to architecture and best practices. Key Responsibilities Design, develop, and maintain microservices-based backend systems and RESTful APIs Build scalable and secure services using Java and Kotlin with Spring / Spring Boot Develop and optimize PostgreSQL database schemas Implement containerized applications using Docker Collaborate with team members using Git and follow established workflows Write clean, testable, and maintainable code Troubleshoot, debug, and resolve backend performance and reliability issues Participate in code and design reviews, contributing to architecture and microservices best practices Support hybrid work model with partial on-site presence as required Required Skills & Qualifications Strong experience with Java and Kotlin Hands-on experience with Spring / Spring Boot Experience developing and maintaining RESTful APIs Experience designing and implementing microservices architectures Proficiency with PostgreSQL or other relational databases Experience with Docker for containerized application development Strong knowledge of Git and collaborative development workflows Understanding of backend performance, scalability, and security best practices ITR Group offers a competitive compensation and benefits package, including medical, dental, and 401(k) for eligible employees. The W2 pay range for this type of role is approximately $80.00 - $90.00 per billable hour. This range is an estimate and not a guarantee of compensation. The final rate will be determined by factors such as experience, market trends, and specific job assignments. Discover more about how ITR Group connects top talent with leading client opportunities.

Role: Endpoint Automation Engineer (Intune, Entra ID, PowerShell) Duration: 3-6 Months Contract Job Summary: We are seeking a highly skilled Endpoint Automation Engineer to lead enterprise-wide modernization and automation of endpoint management. This role demands deep hands-on expertise in Microsoft Intune, PowerShell automation, Microsoft Entra ID, and endpoint lifecycle automation. The ideal candidate will drive zero-touch provisioning, security compliance, and operational efficiencies. Key Responsibilities:Endpoint Management & Automation Lead enterprise deployment/configuration of Microsoft Intune Automate device provisioning, compliance, and lifecycle workflows Package/deploy apps (Win32, MSIX, LoB); manage Autopilot, PSADT, PPKG Create/maintain configuration profiles, compliance policies, and baselines Microsoft Entra ID Administration Manage Entra ID (Azure AD), implement SCIM, Conditional Access, RBAC Strengthen identity governance and compliance PowerShell Scripting & Automation Build secure, reusable PowerShell scripts for device/app onboarding, compliance remediation, and reporting Maintain version-controlled script repository and CI/CD pipelines Cloud & M365 Integration Leverage Microsoft 365 tools (Defender, Exchange, Teams, etc.) Support Azure-based device registration and configuration (Preferred) Apply IaC practices using ARM, Bicep, Terraform Endpoint Security & Compliance Align with CIS benchmarks for Windows 11 Ensure BitLocker, AV, firewall, and security compliance via policy and automation Collaboration & Support Act as Tier-3 escalation point for IT End User Services Document and enhance EUS workflows through automation Required Qualifications:5+ years in endpoint automation and modern device management Expert-level experience with Microsoft Intune, PowerShell, and Entra ID Experience with Windows 10/11, Autopilot, PSADT, and PPKG provisioning Familiarity with Microsoft 365 and Azure services for endpoint security Preferred:Certifications: MD-102, AZ-104, SC-300, AZ-400 Infrastructure as Code (IaC) experience with ARM/Bicep/Terraform Exposure to Defender for Endpoint, Log Analytics, and Sentinel

What to Expect Join our diverse, enthusiastic, and growing team of multi-disciplinary engineers, where we accelerate the world's transition to sustainable abundance-creating an era of clean, plentiful energy for all. You'll contribute by validating the reliability, performance, and durability of thermal systems that form the backbone of our self-driving vehicles and AI technologies. These systems ensure efficient cooling for batteries, AI hardware, and components in autonomous driving, enabling reliable operation in real-world conditions. With opportunities to work across various development programs, you'll thrive in innovative, fast-paced environment, often collaborating beyond your core role to drive progress. What You'll Do Lead hardware validation and testing for thermal management components and subsystems, including compressors, A/C lines, heat exchangers, hoses, coolant pumps, HVAC blowers, and electronic valves. Identify potential failure modes and collaborate with design partners to implement effective improvements Oversee the build and testing of thermal system test bucks, creating modular setups for component-, system-, and vehicle-level evaluations Develop and maintain test software in Python for automation, data collection, analysis, and post-processing; refine our pytest-based automation codebase to interact with devices and support reliability testing Design and build custom test fixtures to enable efficient, modular, and repeatable validation processes Integrate test equipment such as power supplies, environmental chambers, DAQs, sensors, and related instrumentation into automated test setups, ensuring seamless connectivity and data accuracy for high-fidelity validation Conduct hands-on debugging of test setups and equipment; perform root cause analysis on failures and issues affecting both test hardware and the device under test to enable rapid resolutions and iterative improvements Manage the full testing lifecycle from setup to execution and reporting, including planning, development, inspections, root cause analysis, data processing, and full-vehicle interactions for software validation and thermal system reliability Document test findings clearly and communicate them promptly to cross-functional teams; conduct root cause analysis on failures and partner with design,software, failure analysis, reliability teams, and suppliers to develop corrective actions Track validation schedules, coordinate test resources, and update program managers on progress, risks, and blockers What You'll Bring Bachelor's Degree in Mechanical Engineering, Mechatronics Engineering, or equivalent experience Proficiency in coding for test automation and data post-processing, with hands-on experience in Python and/or C. Familiarity with pytest for maintaining robust automation codebases Foundation in thermodynamics, including refrigeration and coolant systems Knowledge of working principles for common thermal components, including operation, testing, and characterization Experience with standard lab and test equipment, such as power supplies, DAQs, pressure transducers, flow meters, and temperature sensors Experience in high-voltage and low-voltage component validation (e.g., inverters, power electronics, motors) Prior work with CAN communication protocols and test setups Design experience using CAD software such as CATIA or SOLIDWORKS Background in full vehicle testing for thermal system validation, testing, and reliability

What to Expect Join our diverse, enthusiastic, and growing team of multi-disciplinary engineers, where we accelerate the world's transition to sustainable abundance-creating an era of clean, plentiful energy for all. You'll contribute by validating the reliability, performance, and durability of thermal systems that form the backbone of our self-driving vehicles and AI technologies. These systems ensure efficient cooling for batteries, AI hardware, and components in autonomous driving, enabling reliable operation in real-world conditions. With opportunities to work across various development programs, you'll thrive in innovative, fast-paced environment, often collaborating beyond your core role to drive progress. What You'll Do Lead hardware validation and testing for thermal management components and subsystems, including compressors, A/C lines, heat exchangers, hoses, coolant pumps, HVAC blowers, and electronic valves. Identify potential failure modes and collaborate with design partners to implement effective improvements Oversee the build and testing of thermal system test bucks, creating modular setups for component-, system-, and vehicle-level evaluations Develop and maintain test software in Python for automation, data collection, analysis, and post-processing; refine our pytest-based automation codebase to interact with devices and support reliability testing Design and build custom test fixtures to enable efficient, modular, and repeatable validation processes Integrate test equipment such as power supplies, environmental chambers, DAQs, sensors, and related instrumentation into automated test setups, ensuring seamless connectivity and data accuracy for high-fidelity validation Conduct hands-on debugging of test setups and equipment; perform root cause analysis on failures and issues affecting both test hardware and the device under test to enable rapid resolutions and iterative improvements Manage the full testing lifecycle from setup to execution and reporting, including planning, development, inspections, root cause analysis, data processing, and full-vehicle interactions for software validation and thermal system reliability Document test findings clearly and communicate them promptly to cross-functional teams; conduct root cause analysis on failures and partner with design,software, failure analysis, reliability teams, and suppliers to develop corrective actions Track validation schedules, coordinate test resources, and update program managers on progress, risks, and blockers What You'll Bring Bachelor's Degree in Mechanical Engineering, Mechatronics Engineering, or equivalent experience Proficiency in coding for test automation and data post-processing, with hands-on experience in Python and/or C. Familiarity with pytest for maintaining robust automation codebases Foundation in thermodynamics, including refrigeration and coolant systems Knowledge of working principles for common thermal components, including operation, testing, and characterization Experience with standard lab and test equipment, such as power supplies, DAQs, pressure transducers, flow meters, and temperature sensors Experience in high-voltage and low-voltage component validation (e.g., inverters, power electronics, motors) Prior work with CAN communication protocols and test setups Design experience using CAD software such as CATIA or SOLIDWORKS Background in full vehicle testing for thermal system validation, testing, and reliability

What to Expect Join our diverse, enthusiastic, and growing team of multi-disciplinary engineers, where we accelerate the world's transition to sustainable abundance-creating an era of clean, plentiful energy for all. You'll contribute by validating the reliability, performance, and durability of thermal systems that form the backbone of our self-driving vehicles and AI technologies. These systems ensure efficient cooling for batteries, AI hardware, and components in autonomous driving, enabling reliable operation in real-world conditions. With opportunities to work across various development programs, you'll thrive in innovative, fast-paced environment, often collaborating beyond your core role to drive progress. What You'll Do Lead hardware validation and testing for thermal management components and subsystems, including compressors, A/C lines, heat exchangers, hoses, coolant pumps, HVAC blowers, and electronic valves. Identify potential failure modes and collaborate with design partners to implement effective improvements Oversee the build and testing of thermal system test bucks, creating modular setups for component-, system-, and vehicle-level evaluations Develop and maintain test software in Python for automation, data collection, analysis, and post-processing; refine our pytest-based automation codebase to interact with devices and support reliability testing Design and build custom test fixtures to enable efficient, modular, and repeatable validation processes Integrate test equipment such as power supplies, environmental chambers, DAQs, sensors, and related instrumentation into automated test setups, ensuring seamless connectivity and data accuracy for high-fidelity validation Conduct hands-on debugging of test setups and equipment; perform root cause analysis on failures and issues affecting both test hardware and the device under test to enable rapid resolutions and iterative improvements Manage the full testing lifecycle from setup to execution and reporting, including planning, development, inspections, root cause analysis, data processing, and full-vehicle interactions for software validation and thermal system reliability Document test findings clearly and communicate them promptly to cross-functional teams; conduct root cause analysis on failures and partner with design,software, failure analysis, reliability teams, and suppliers to develop corrective actions Track validation schedules, coordinate test resources, and update program managers on progress, risks, and blockers What You'll Bring Bachelor's Degree in Mechanical Engineering, Mechatronics Engineering, or equivalent experience Proficiency in coding for test automation and data post-processing, with hands-on experience in Python and/or C. Familiarity with pytest for maintaining robust automation codebases Foundation in thermodynamics, including refrigeration and coolant systems Knowledge of working principles for common thermal components, including operation, testing, and characterization Experience with standard lab and test equipment, such as power supplies, DAQs, pressure transducers, flow meters, and temperature sensors Experience in high-voltage and low-voltage component validation (e.g., inverters, power electronics, motors) Prior work with CAN communication protocols and test setups Design experience using CAD software such as CATIA or SOLIDWORKS Background in full vehicle testing for thermal system validation, testing, and reliability

What to Expect Join our diverse, enthusiastic, and growing team of multi-disciplinary engineers, where we accelerate the world's transition to sustainable abundance-creating an era of clean, plentiful energy for all. You'll contribute by validating the reliability, performance, and durability of thermal systems that form the backbone of our self-driving vehicles and AI technologies. These systems ensure efficient cooling for batteries, AI hardware, and components in autonomous driving, enabling reliable operation in real-world conditions. With opportunities to work across various development programs, you'll thrive in innovative, fast-paced environment, often collaborating beyond your core role to drive progress. What You'll Do Lead hardware validation and testing for thermal management components and subsystems, including compressors, A/C lines, heat exchangers, hoses, coolant pumps, HVAC blowers, and electronic valves. Identify potential failure modes and collaborate with design partners to implement effective improvements Oversee the build and testing of thermal system test bucks, creating modular setups for component-, system-, and vehicle-level evaluations Develop and maintain test software in Python for automation, data collection, analysis, and post-processing; refine our pytest-based automation codebase to interact with devices and support reliability testing Design and build custom test fixtures to enable efficient, modular, and repeatable validation processes Integrate test equipment such as power supplies, environmental chambers, DAQs, sensors, and related instrumentation into automated test setups, ensuring seamless connectivity and data accuracy for high-fidelity validation Conduct hands-on debugging of test setups and equipment; perform root cause analysis on failures and issues affecting both test hardware and the device under test to enable rapid resolutions and iterative improvements Manage the full testing lifecycle from setup to execution and reporting, including planning, development, inspections, root cause analysis, data processing, and full-vehicle interactions for software validation and thermal system reliability Document test findings clearly and communicate them promptly to cross-functional teams; conduct root cause analysis on failures and partner with design,software, failure analysis, reliability teams, and suppliers to develop corrective actions Track validation schedules, coordinate test resources, and update program managers on progress, risks, and blockers What You'll Bring Bachelor's Degree in Mechanical Engineering, Mechatronics Engineering, or equivalent experience Proficiency in coding for test automation and data post-processing, with hands-on experience in Python and/or C. Familiarity with pytest for maintaining robust automation codebases Foundation in thermodynamics, including refrigeration and coolant systems Knowledge of working principles for common thermal components, including operation, testing, and characterization Experience with standard lab and test equipment, such as power supplies, DAQs, pressure transducers, flow meters, and temperature sensors Experience in high-voltage and low-voltage component validation (e.g., inverters, power electronics, motors) Prior work with CAN communication protocols and test setups Design experience using CAD software such as CATIA or SOLIDWORKS Background in full vehicle testing for thermal system validation, testing, and reliability

Opportunity available for a Contract Front-End Engineer to help build designer-facing GenAI-powered tools that accelerate the design process. This role focuses on developing high-quality frontend experiences that connect designers and trend analysts to emerging trend data, enabling fast, accurate insight discovery and decision-making. W2 only - No C2C or third-party vendors. You will collaborate closely with product, UX, and data teams to deliver highly usable, visually compelling applications that support complex data exploration and AI-driven workflows. Required Qualifications 5+ years of professional front-end engineering experience Strong expertise in TypeScript and React.js Experience building interactive data visualization and analytics applications Ability to work effectively in a fast-paced Agile contract environment Experience collaborating with UX and Design teams on user-centered application development Experience working in containerized environments (Docker/Kubernetes preferred) Hands-on experience or strong working knowledge of GenAI frameworks and patterns, including: LangGraph, LangChain, Google GenAI, or similar Context Engineering, RAG, and Agentic AI Familiarity with platforms such as ChatGPT, Gemini, or other commercial AI tools ITR Group offers a competitive compensation and benefits package, including medical, dental, and 401(k) for eligible employees. The W2 pay range for this type of role is approximately $90.00 - $100.00 per billable hour. This range is an estimate and not a guarantee of compensation. The final rate will be determined by factors such as experience, market trends, and specific job assignments. Discover more about how ITR Group connects top talent with leading client opportunities.

A leading AI research company is seeking a privacy engineer in San Francisco. You will protect user data while ensuring AI system efficiency, employing techniques like differential privacy and federated learning. Responsibilities include designing privacy-preserving algorithms, investigating privacy-performance trade-offs, and developing documentation. Ideal candidates have experience with privacy technologies and deep learning. OpenAI promotes a diverse environment and offers relocation assistance. #J-18808-Ljbffr

A global technology company is looking for a seasoned software engineer to enhance AI capabilities within their observability platform. Candidates should have a strong background in AI/ML systems, cloud computing, and robust technical leadership. This role is pivotal in driving innovation in data analysis and delivering scalable solutions. The ideal candidate will thrive in an agile environment and provide mentorship to junior engineers. Enjoy competitive salaries and benefits while contributing to impactful technology solutions. #J-18808-Ljbffr

About Poshmark Poshmark is a leading fashion resale marketplace powered by a vibrant, highly engaged community of buyers and sellers and real-time social experiences. Designed to make online selling fun, more social and easier than ever, Poshmark empowers its sellers to turn their closet into a thriving business and share their style with the world. Since its founding in 2011, Poshmark has grown its community to over 130 million users and generated over $10 billion in GMV, helping sellers realize billions in earnings, delighting buyers with deals and one‑of‑a‑kind items, and building a more sustainable future for fashion. For more information, please visit ***************** and for company news, visit newsroom.poshmark.com. Big Data team is a central player in the Poshmark organization. Our mission is to build a world‑class big data platform to bring value out of data for us and for our customers. Our goal is to democratize data, support exploding business, build data and ML pipelines to fuel existing and new business critical initiatives. We are looking for exceptional, creative and passionate Machine Learning engineers to join our ML and Big Data Team. You will be responsible for building and owning the next‑generation of algorithms and systems that would have critical business impact for Poshmark and improve the user experience for our millions of users. Responsibilities: Explore large datasets, research and develop algorithms/models to solve interesting business problems. Design and code highly scalable, machine learning applications processing large volumes of data. Collaborate with multiple teams - data science, business, engineering and help deliver Machine learning based Data products across the company. Develop best practices and tools to enable robust delivery of features. Design and improve architecture in order to ensure horizontal scalability at all layers. Ideal Candidate: Strong background in Machine Learning with deep understanding of algorithms and modeling techniques. 6+ years of overall software development experience with at least 4+ years of industry experience applying Machine Learning to concrete problems. Great coding skills and strong software development experience with Big Data technologies & Machine Learning frameworks like SparkML, TensorFlow, PyTorch, Keras. Understanding of distributed systems, and large scale engineering challenges is plus. Technologies we use: Scala, Python MongoDB, Redshift, Druid Airflow, Jenkins Spark, SparkML, Kinesis #J-18808-Ljbffr

A data consulting firm based in San Francisco is seeking a Palantir Foundry Consultant for a contract position. The ideal candidate should have strong experience in Palantir Foundry, SQL, and PySpark, with proven skills in data pipeline development and ETL automation. Responsibilities include building data pipelines, implementing interactive dashboards, and leveraging data analysis for actionable insights. This on-site role offers an excellent opportunity for those experienced in the field. #J-18808-Ljbffr