Requirements Engineer jobs at Lorven Technologies - 4655 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

Distinguished Engineer [Lustre] We are seeking a highly experienced Lustre Technical Leader to establish, grow, and guide our new internal Lustre engineering team. This role is ideal for a seasoned expert who is deeply embedded in the Lustre ecosystem and passionate about building high‑performance file system solutions. Job Requirements 15+ years of hands‑on Lustre development experience with deep knowledge across the stack Recognized leadership and credibility within the Lustre community Demonstrated success in building and leading high‑performing technical teams Ability to attract, recruit, and mentor Lustre developers and related technical talent Experience bringing commercial file system products from concept through delivery Strong communication skills to present technical concepts and industry trends to senior leadership Ability to collaborate with Product Marketing to define and prioritize features and solutions Proficiency in writing concise technical papers (1-3 pages) on feature value, architecture, or competitive analysis Education Bachelors degree in Engineering At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. #J-18808-Ljbffr

We are looking for a Distinguished Engineer (DE) reporting into Cloud Business Unit SVP&GM. Someone in this role will get the opportunity to work on building and scaling NetApp architecture and experience across all three major cloud services - Amazon Web Services, Microsoft Azure, and Google Cloud as NetApp storage is first party integrated into all these three cloud providers. This is a technical leadership role which will require collaborating with other technical leaders and software engineers across NetApp to drive innovation, engineering excellence, and designing scalable architectures. It is expected that someone in this role will work on most complex engineering problems in space of service fundamentals (availability, reliability, performance, and scalability), developer velocity (CD/CI, modern canary, and real user telemetry-based testing) and designing fault tolerant, highly available and low latency control plane architectures. To earn the respect of the NetApp software engineering community and to keep their tools sharp, Distinguished Engineers (DEs) at NetApp are hands‑on practitioners, not consultants. So, it is expected that someone in this role should be able to code and serve as role model for the NetApp technical community. It is expected the person in the role will devote 40% or more of their time in producing artifacts, such as vision statements, design documents, and source code. Prior experience working as a principal or senior principal engineer in one or more high scale, geo distributed applications or services built on either of the major cloud providers will be highly preferred. Prior experience working on storage systems is preferred but not mandatory. Key Responsibilities Lead the definition, design, architecture quality, implementation, and delivery of the most advanced, most difficult, most cross‑cutting, and/or most ambiguous challenges spanning across the Cloud business unit. Operate with independence and act as force multipliers to the benefit of the company, delivering on its most complex challenges. Foster a culture of learning and experimentation, and advocate for best engineering, QA, and Operational practices for the entire business unit. Serve as a technical leader on demanding, cross‑functional engineering projects. The expectation will be to functionally decompose complex problems into simple, straightforward solutions and fully understand system interdependencies and limitation. Understand not just the technical and product capabilities but the nuances of the NetApp cloud business and help to understand and balance conflicting stakeholder objectives, while simultaneously building trust and demonstrating empathy with customers' needs. Architect and build modern CD/CI infrastructure which works all the time for several hundred developers working on multitude of interconnected software deployment pipelines. Architect and design modern, cloud native QA framework and components. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Job Requirements Minimum of 10+ years of experience as software engineer. 4+years hands‑on experience as a senior Principal Engineer leading multiple software engineering teams. Expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices. Expert in designing and building large‑scale systems in a multi‑tiered, distributed environment (Service Oriented Architecture). Extensive experience building fault tolerant and high scale distributed architecture on one of the major cloud providers. Extensive experience of cloud native application or services operations, data management, migration, and security. Excellent communication and writing skills, with the ability to effectively engage with customers, stakeholders, and the engineering community. Proactive and self‑driven, with the ability to work independently and take ownership of initiatives. Experience operating and troubleshooting reliable, scalable software systems. Experience building fully automated testing frameworks from code check‑in to deployment. Proficient in at least one modern programming language such as Java, Typescript, Python, or Ruby. Prior experience building services or applications in cloud‑native architectures using either AWS, Azure, or Google cloud. Experience with monitoring frameworks (such as CloudWatch, Datadog, Grafana, Elastic or similar). Decent understanding of storage architectures, design patterns, and best practices. Preferred will be experience with storage technologies such as RAID, Volumes, Replication solutions. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Education Bachelor's degree in computer science or a related field or equivalent experience. Compensation: The target salary range for this position is $285,000-355,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in‑office and/or in‑person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise‑grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. #J-18808-Ljbffr

San Francisco Bay Area, California, United States Software and Services Join our Headphone & Accessories team and drive innovation in the wireless audio experience space. We craft and seamlessly integrate technologies that enrich people's lives and deliver the best user-experience. Are you a dedicated software engineer ready to design, develop and build the next generation of wireless audio experience and personal device connectivity? If you're a strong software engineer and are passionate about building incredible Bluetooth solutions, we may have the job for you! Description Your main responsibility in this role will be to design and create user interfaces for various audio features and functionality on iOS and mac OS. The role will include working with design and engineering teams to prototype design options and creating final interfaces on devices. Responsibilities Main responsibility in this role will be to design and create user interfaces for accessories related to enrollment, HW specific functionality, audio features and functionality on iOS and mac OS. The role will include working with design and engineering teams to prototype design options and creating final interfaces on devices. Minimum Qualifications You have a MS/BS in Computer Science / relevant with 4+ years experience. You have strong development and coding skills. You have some background in developing UI. You have a wealth of experience in software development & you're driven to learn! You have experience developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. Preferred Qualifications You thrive in a collaborative environment and can clearly communicate while driving multiple projects across teams. You enjoy taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm. You build partnerships and work collaboratively with others to meet shared objectives. You consistently achieve results, even under tough circumstances. You handle conflict situations effectively, with a minimum of noise. 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 $126,800 and $220,900, 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

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 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 technology company based in Santa Clara, California, is seeking a Staff Machine Learning Engineer to enhance AI features across Apple products. The ideal candidate will have extensive experience in machine learning, particularly in reinforcement learning and large language model post-training. This role promises a competitive salary, stock options, and a comprehensive benefits package including medical, dental, and education reimbursement. #J-18808-Ljbffr

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

Mechanical design, the work done in CAD, is the rate-limiter for progress in the physical world. However, there are only 2-4 million people on Earth who know how to CAD. But what if hundreds of millions could? What if creating something in the real world were as easy as imagining the use case, or sketching it on paper? Backflip is building a foundation model for mechanical design: unifying the world's scattered engineering knowledge into an intelligent, end-to-end design environment. Our goal is to enable anyone to imagine a solution and hit “print.” Founded by a second-time CEO in the same space (first company: Markforged), Backflip combines deep industry insight with breakthrough AI research. Backed by a16z and NEA, we raised a $30M Series A and built a deeply technical, mission-driven team. We're building the AI foundation that tomorrow's space elevators, nanobots, and spaceships will be built in. If you're excited to define the next generation of hard tech, come build it with us. The Role We're looking for a Staff Machine Learning Data Engineer to lead and build the data pipelines powering Backflip's foundation model for manufacturing and CAD. You'll design the systems, tools, and strategies that turn the world's engineering knowledge - text, geometry, and design intent - into high-quality training data. This is a core leadership role within the AI team, driving the data architecture, augmentation, and evaluation that underpin our model's performance and evolution. You'll collaborate with Machine Learning Engineers to run data-driven experiments, analyze results, and deliver AI products that shape the future of the physical world. What You'll Do Architect and own Backflip's ML data pipeline, from ingestion to processing to evaluation. Define data strategy: establish best practices for data augmentation, filtering, and sampling at scale. Design scalable data systems for multimodal training (text, geometry, CAD, and more). Develop and automate data collection, curation, and validation workflows. Collaborate with MLEs to design and execute experiments that measure and improve model performance. Build tools and metrics for dataset analysis, monitoring, and quality assurance. Contribute to model development through insights grounded in data, shaping what, how, and when we train. Who You Are You've built and maintained ML data pipelines at scale, ideally for foundation or generative models, that shipped into production in the real world. You have deep experience with data engineering for ML, including distributed systems, data extraction, transformation, and loading, and large-scale data processing (e.g. PySpark, Beam, Ray, or similar). You're fluent in Python and experienced with ML frameworks and data formats (Parquet, TFRecord, HuggingFace datasets, etc.). You've developed data augmentation, sampling, or curation strategies that improved model performance. You think like both an engineer and an experimentalist: curious, analytical, and grounded in evidence. You collaborate well across AI development, infra, and product, and enjoy building the data systems that make great models possible. You care deeply about data quality, reproducibility, and scalability. You're excited to help shape the future of AI for physical design. Bonus points if: You are comfortable working with a variety of complex data formats, e.g. for 3D geometry kernels or rendering engines. You have an interest in math, geometry, topology, rendering, or computational geometry. You've worked in 3D printing, CAD, or computer graphics domains. Why Backflip This is a rare opportunity to own the data backbone of a frontier foundation model, and help define how AI learns to design the physical world. You'll join a world-class, mission-driven team operating at the intersection of research, engineering, and deep product sense, building systems that let people design the physical world as easily as they imagine it. Your work will directly shape the performance, capability, and impact of Backflip's foundation model, the core of how the world will build in the future. Let's build the tools the future will be made in. #J-18808-Ljbffr