Requirements Engineer jobs at ZP Group - 11480 jobs

San Francisco Bay Area, California, United States Hardware Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than something - you'll add something.Do you love taking on big challenges that require exceptionally creative solutions? The Thermal team is responsible for all thermal aspects of highly collaborative, cross-functional design efforts. We are searching for an extraordinary engineer to help lead the definition and design of Apple products. You'll ensure all thermal objectives are met or surpassed from initial concept to design fruition and the user experience is optimized to surprise and delight our customers. Description You will be tasked with impacting product design decisions by providing reliable analysis and thermal insight. You'll define, guide thermal flow experiments to characterize materials, components, and systems. You'll drive architecture of next-generation cooling strategies for high-powered devices using analytical tools, CFD, and prototype testing. A strong sense of design ownership along with the ability to build consensus will help you drive technical challenges to conclusion. Additionally, you will lead technology investigations, design, implementation of thermal solutions and communicate status results to leadership. Minimum Qualifications 5+ years thermal design experience. M.S. in Mechanical Engineering or equivalent. Strong understanding of heat and fluid flow with the ability to apply this understanding to multi-disciplinary design problems. Excellent verbal and written communications skills. Deep technical and functional expertise in conduction, convection (natural and forced) and radiation, as well as numeric modeling techniques and concepts. Experience with both CFD and experimental techniques for design validation. Ability to clearly communicate complex technical material. Occasional domestic and international travel required. Preferred Qualifications Ph.D. in Mechanical Engineering with emphasis on Heat Transfer or Fluid Dynamics. 7+ years of thermal design experience. Deep knowledge of TIMs, heat sinks, heat pipes, vapor chambers, cold plates, pumps, and air movers for thermal mitigation, especially within a datacenter environment. Proven ability to lead high visibility programs. Ability to thrive in a fast-paced work environment. 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 $181,100 and $318,400, 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

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.

A global technology company in Seattle is seeking a skilled software engineer for the Machine Learning Applications team of AWS Neuron. The role requires expertise in developing and tuning performance for ML models, working collaboratively in a fast-paced environment. Ideal candidates will have over 3 years of software development experience and a strong background in programming languages. Competitive compensation includes medical benefits, equity, and a supportive culture aimed at career growth. #J-18808-Ljbffr

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

A leading tech company is seeking a Business Intel Engineer III located in San Francisco, CA. The role involves managing metrics reporting, performing statistical modeling, and developing forecasting technologies. Candidates must have a Master's degree in a related field or equivalent experience, along with skills in SQL, ETL, and statistical analysis. This position offers a salary range of $159,099 to $176,300 annually, along with a comprehensive compensation package including benefits and equity incentives. #J-18808-Ljbffr

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

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