Engineer jobs in Campbell, CA - 7,995 jobs

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

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next‑generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD is looking for an influential software engineer who is passionate about improving the performance of key applications and benchmarks. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology. THE PERSON: The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD. KEY RESPONSIBILITIES: Work with AMD's architecture specialists to improve future products Apply a data minded approach to target optimization efforts Stay informed of software and hardware trends and innovations, especially pertaining to algorithms and architecture Design and develop new groundbreaking AMD technologies Participating in new ASIC and hardware bring up Debugging/fix existing issues and research alternative, more efficient ways to accomplish the same work Develop technical relationships with peers and partners PREFERRED EXPERIENCE: Strong object-oriented programming background, C/C++ preferred Experience in Network Protocols such as RDMA and TCP/IP Experience in Data Path preferred Ability to write high quality code with a keen attention to detail Experience with modern concurrent programming and threading APIs Experience with Linux operating system development Experience with software development processes and tools such as debuggers, source code control systems (GitHub) and profilers is a plus Effective communication and problem-solving skills Motivating leader with good interpersonal skills ACADEMIC CREDENTIALS: Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent #LI-RL1 Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third‑party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process. #J-18808-Ljbffr

Required Skills & Experience Bachelor's or Master's degree in Computer Science, Engineering, or a related field Proven experience as a Machine Learning Engineer or similar role Hands on but can lead a 3-4 member team Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Experience with Generative AI (GenAI) and its applications Strong knowledge of React and front-end development Familiarity with Mega Cash and Cashing technologies Proficient in PostgreSQL and database management Excellent problem-solving skills and attention to detail Job Description A large global retailer is seeking a talented and experienced Senior Machine Learning Engineer. The ideal candidate will have a strong background in machine learning, proficiency in Python, and experience with Generative AI (GenAI), React, Mega Cash, Cashing, and PostgreSQL. This role involves developing and deploying machine learning models, collaborating with cross-functional teams, and contributing to the continuous improvement of our financial products. We are looking for someone who is hands on but can lead a 3-4 member team. Key Responsibilities: Design, develop, and deploy machine learning models to solve complex financial problems. Collaborate with data scientists, software engineers, and product managers to integrate machine learning solutions into our products. Implement and optimize algorithms for real-time data processing and analysis. Develop and maintain scalable data pipelines using PostgreSQL. Utilize Python and GenAI to create innovative solutions for financial applications. Work with React to build interactive and user-friendly interfaces. Ensure the security and efficiency of financial transactions using Mega Cash and Cashing technologies. Stay up-to-date with the latest advancements in machine learning and financial technologies.

Quantum computing holds the promise of humanity's mastery over the natural world, but only if we can build a real quantum computer. PsiQuantum is on a mission to build the first real, useful quantum computers, capable of delivering the world‑changing applications that the technology has long promised. We know that means we will need to build a system with roughly 1 million qubits that supports fault tolerant error correction within a scalable architecture, and a data center footprint. By harnessing the laws of quantum physics, quantum computers can provide exponential performance increases over today's most powerful supercomputers, offering the potential for extraordinary advances across a broad range of industries including climate, energy, healthcare, pharmaceuticals, finance, agriculture, transportation, materials design, and many more. PsiQuantum has determined the fastest path to delivering a useful quantum computer, years earlier than the rest of the industry. Our architecture is based on silicon photonics which gives us the ability to produce our components at Tier‑1 semiconductor fabs such as GlobalFoundries where we leverage high‑volume semiconductor manufacturing processes, the same processes that are already producing billions of chips for telecom and consumer electronics applications. We also benefit from the quantum mechanics reality that photons don't feel heat or electromagnetic interference, allowing us to take advantage of existing cryogenic cooling systems and industry standard fiber connectivity. In 2024, PsiQuantum announced two government‑funded projects to support the build‑out of our first Quantum Data Centers and utility‑scale quantum computers in Brisbane, Australia and Chicago, Illinois. Both projects are backed by nations that understand quantum computing's potential impact and the need to scale this technology to unlock that potential. And we won't just be building the hardware, but also the fault tolerant quantum applications that will provide industry‑transforming results. Quantum computing is not just an evolution of the decades‑old advancement in compute power. It provides the key to mastering our future, not merely discovering it. The potential is enormous, and we have the plan to make it real. Come join us. There's much more work to be done and we are looking for exceptional talent to join us on this extraordinary journey! Job Summary The BEOL staff Integration Engineer will support the development of a silicon photonic product in a Foundry environment. The integration engineer will drive the unit process steps needed to deliver BEOL modules that meets our technology requirements for PIC performance and packaging. Responsibilities Lead the process integration of a BEOL in our SiPh platform. Critically assess the interactions between design layout, technology design‑rules and processes. Development of SiPh BEOL platform focused on yield improvement by reducing defectivity and improving process stability (Cp/Cpk). Drive process improvements to meet performance requirements. Data analysis skills (Ex: JMP) and build yield correlations. Structured risk management and problem‑solving skills (FMEA, 8D, 5‑why). Statistical Process Control (SPC) and/or Design of Experiments (DOE) definition. Experience / Qualifications Advanced degree in Electrical Engineering or Materials Science Engineering or related experience is preferred. Minimum 7 years of experience in a semiconductor manufacturing plant on BEOL process integration. Experience with TSV integration, BEOL capacitors and resistors. Experience with BEOL integration on Photonics. Experience in process integration of a new module and working on leading edge technologies. Proven experience executing cross‑department complex projects. Experience in vendor relationship management. Experience with test structures design for yield / Reliability limiter determination and improvement. Prior experience in new product technology development, implementation and transfer to a HVM. Domain knowledge: Expertise in one of the functional unit processes (RIE, CMP, cleans, dielectrics, metals, etc.). Excellent verbal and written communication skills with an ability to communicate effectively to a variety of audiences. Strong critical thinking, creative, innovative, analytical, and detail oriented problem‑solving skills. Proven track record of impactful results and self‑motivated. Demonstrated ability to juggle multiple priorities and deliver against a schedule. Demonstrated interest in quantum computing and ability to contribute in fast‑moving start‑up environment. Equal Employment Opportunity Statement PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws. Important Notice PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to *************************. Compensation U.S. Base Pay Range: $190,000 - $210,000 USD Bay Area Pay Range: $210,000 - $230,000 USD Base pay is only one part of the total compensation package. Full‑time roles are eligible for equity and benefits. Base pay is subject to change and may be modified in the future. #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

A leading e-commerce company in Mountain View, CA, seeks a Staff Machine Learning Engineer to enhance product search and discovery using advanced algorithms. The ideal candidate has over four years of experience in machine learning, deep learning, or natural language processing. Responsibilities include identifying system bottlenecks, proposing, and implementing technological solutions, and conducting A/B tests. Join us to work on impactful projects that shape the future of commerce. #J-18808-Ljbffr

A leading cloud technology company is seeking a Principal Software Engineer to join their innovative team focused on developing cloud infrastructure for Generative AI services. This role involves designing and implementing scalable distributed systems while working with applied scientists and engineers in a collaborative environment. The position offers a competitive salary range of $96,800 to $223,400 annually and includes comprehensive benefits such as medical insurance and paid parental leave. #J-18808-Ljbffr

1X builds safe humanoid robots that work alongside people at home and in factories. We ship fast, test hard, iterate until it works. The job: Own full integration of dexterous hands into the robot. Make every hand move perfectly, sense accurately, hit production yield. Hands-on with mech, EE, controls, AI. You'll do: Plug hands into control stack + validate full behaviors Build calibration + end-of-line tests Integrate position/torque/tactile sensors into real-time loops Act as the technical focal point for the hand Close the loop between design intent, control behavior, and manufacturability Write diagnostics + fallback logic Debug mech/EE/SW with scopes, logs, data Tune high-BW controllers + run sys-ID Define test stations + x-functional requirements Script auto-rigs, dashboards, pipelines Write docs + mentor You need: 6+ yrs shipping robotic actuators/manipulators C++ / Python (embedded + test) Sensor fusion + closed-loop tuning Mech, kinematics, controls, sensors Linux, lab gear, debug BS/MS ME/EE/Robotics Cross-team driver Nice to have: Built robotic hands or multi-DOF EtherCAT/CAN/SPI/I2C MATLAB/Simulink CAD collab Benefits & Compensation Comprehensive health, dental, and vision insurance 401(k) with company match Paid time off and holidays Pay: $160k-$240k + equity + benefits Equal Opportunity Employer 1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, or any other characteristic protected under applicable federal, state, or local law. #J-18808-Ljbffr

Staff / Lead ML Infrastructure Engineer San Francisco, CA - Onsite Salary - Over market average + equity We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads. What You'll Own Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment. High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines. Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs. End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout. Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability. Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling. Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction. What You've Done Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company. Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams. Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). Strong engineering fundamentals in Python, Go, or equivalent languages. Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data. Demonstrated ability to lead complex cross-org initiatives and drive technical strategy. Nice to Have Experience with video processing systems, large-scale media pipelines, or streaming architectures. Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators). Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads. Background working in high-growth AI startups or research-focused environments. Security and compliance considerations for models that generate or process user content. Why Join Shape the underlying platform powering one of the most advanced generative video systems in the world. Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs. Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies. Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.

Reports to: Managing Principle Mechanical Engineer, R&D Workplace Type: Hybrid, on-site in Santa Cruz an average of 4-days per week Capstan Medical:Creating a new standard for minimally invasive structural heart treatment Who we are: At Capstan Medical, we're driven by an unwavering commitment to transforming the treatment of heart valve disease. By merging surgical robotics with catheter-based technology and next generation implants, we've pioneered a patient-optimized approach to repair and replace heart valves. Our innovative technology offers a significantly less invasive alternative to traditional open-heart surgery while ensuring precise and reliable placement of the heart valve implant. With these advancements, we may be able to provide patients with a solution to their heart valve disease while significantly reducing recovery time and minimizing the risk of complications. With a dedicated team of heart valve device experts and robotics engineers, we are fully committed to developing a comprehensive and transformative solution that will positively impact the lives of individuals affected by this condition. Capstan Medical is uniquely positioned in Santa Cruz. This gives us access to the amazing technical talent of the Bay Area, but in an environment that we feel is conducive to doing our best creative work. Our office is adjacent to large tracts of open space with bicycle trails straight from the office doors offering access to the hills and beaches of Wilder Ranch State Park for road/mountain bicycle riding, hiking, and surfing. Come join us and become part of a team revolutionizing heart valve treatment! The Opportunity: We are building a novel medical robotic application, bringing together an exciting set of hardware and software into an elegant product. We are looking for someone who can take a mechanical system of the robot design from initial concept all the way to product. What You'll Do: Collaborate with Manufacturing and Clinical teams on designs, incorporating this input into quick and effective design iterations. Lead and set direction for system and subsystem architectures and mechanical design efforts while owning cross-functional mechanical deliverables and technical strategy Participate in building and bringing up prototype robotic systems and support all things mechanical in their pre-clinical lab use. Lead alignment of complex technical topics and hardware architecture across the Mechanical Engineering team and broadly across the R&D organization and Capstan. Document and communicate learnings on design manufacturability and reliability to the broader hardware team, mentoring others in best practices and scalable design approaches Document and communicate your work through design reviews and as appropriate released documents as part of the product development process Identify gaps and pitch in as needed to ensure that the team meets their goals and objectives, driving alignment across teams when priorities conflict Strengthen the team by providing leadership and mentorship on best practices and design strategies as they grow in their abilities to develop performant, scalable, and elegant designs. Be a valuable partner with feedback and collaboration in brainstorming and design reviews. What You'll Need: BS in Mechanical Engineering or related engineering discipline, or equivalent work experience Expecting 12+ years of relevant experience (medical device experience preferred) Comfort working with high levels of ambiguity and an ability to convert that into tangible outcomes Experience with designing, manufacturing transfer, and shipping of medical device capital equipment or equivalent complexity systems Deep expertise in areas particular to robotic system design: kinematics, mechanisms, bearings, gears, sensors, actuators. Experience with medical device (or equivalent) development process, design control, design verification, and regulatory processes Ability to work in a hybrid work environment, working onsite in Santa Cruz on average 4 days a week Ways To Stand Out: Experience with the full commercial lifecycle from concept through reacting to and addressing field issues with your designs. Skills with Python or Matlab for data analysis, simulation, and interacting with robotic equipment. Excessive nerdiness about manufacturing, mechanisms, robots, or any other adjacencies. Leadership experience. While this role is as an individual contributor, it is a position of significant technical and thought leadership within the company. Why Join Us: We offer a fun, fast-paced, collaborative environment where you will be working on transformational technologies in the cardiac healthcare space. We offer outstanding benefits with medical, dental, and vision covered at 100% for you and your family, as well as flex time off. We thrive in our work-hard, play-hard environment. Bring your bike or running shoes if you'd like or just be ready to enjoy a fun office outing. We enjoy time inside the office and out! We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. #J-18808-Ljbffr

About the Institute of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you'll have the opportunity to work on the core of cutting‑edge foundation model training, alongside world‑class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem‑solving skills will be instrumental in establishing MBZUAI as a global hub for high‑performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role We're looking for a distributed ML infrastructure engineer to help extend and scale our training systems. You'll work side‑by‑side with world‑class researchers and engineers to: Extend distributed training frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod) Implement distributed optimizers from mathematical specs Build robust config + launch systems across multi‑node, multi‑GPU clusters Own experiment tracking, metrics logging, and job monitoring for external visibility Improve training system reliability, maintainability, and performance While much of the work will support large‑scale pre‑training, pre‑training experience is not required. Strong infrastructure and systems experience is what we value most. Key Responsibilities Distributed Framework Ownership - Extend or modify training frameworks (e.g., DeepSpeed, FSDP) to support new use cases and architectures. Optimizer Implementation - Translate mathematical optimizer specs into distributed implementations. Launch Config & Debugging - Create and debug multi‑node launch scripts with flexible batch sizes, parallelism strategies, and hardware targets. Metrics & Monitoring - Build systems for experiment tracking, job monitoring, and logging usable by collaborators and researchers. Infra Engineering - Write production‑quality code and tests for ML infra in PyTorch or JAX; ensure reliability and maintainability at scale. Qualifications Must-Haves: 5+ years of experience in ML systems, infra, or distributed training Experience modifying distributed ML frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod) Strong software engineering fundamentals (Python, systems design, testing) Proven multi‑node experience (e.g., Slurm, Kubernetes, Ray) and debugging skills (e.g., NCCL/GLOO) Ability to implement algorithms across GPUs/nodes based on mathematical specs Experience working on an ML platform/ infrastructure, and/or distributed inference optimization team Experience with large‑scale machine learning workloads (strong ML fundamentals) Nice-to-Haves: Exposure to mixed‑precision training (e.g., bf16, fp8) with accuracy validation Familiarity with performance profiling, kernel fusion, or memory optimization Open‑source contributions or published research (MLSys, ICML, NeurIPS) CUDA or Triton kernel experience Experience with large‑scale pre‑training Experience building custom training pipelines at scale and modifying them for custom needs Deep familiarity with training infrastructure and performance tuning $150,000 - $450,000 a year Benefits Comprehensive medical, dental, and vision 401(k) program Generous PTO, sick leave, and holidays Paid parental leave and family‑friendly benefits On‑site amenities and perks: Complimentary lunch, gym access, and a short walk to the Sunnyvale Caltrain station #J-18808-Ljbffr

A technology company is seeking a Platform Validation Engineer to ensure the reliability and performance of their GPU servers. This role involves developing test plans, debugging hardware and software interactions, and automating validation workflows. Candidates should have a Bachelor's or Master's degree in EE or CS with over 5 years of experience in GPU server platform validation. The position offers a hybrid work model at the Santa Clara headquarters. #J-18808-Ljbffr

About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone. Role Summary As an engineer focusing on cellular and wireless integration for the Connected Systems Integration Team at R|V Tech, you will work alongside software developers, systems integrators, and system engineers to support features such as cellular, WiFi, Ethernet and GPS domains along with telematics, mobile app integration, and other Internet-dependent vehicle features, with a primary focus on cellular systems integration and bring-up. The cellular and wireless integration engineer will execute tests and integration of connectivity features and will also contribute to automation of these tests (in Python). The cellular and wireless integration engineer may also support other vehicle development activities which require connectivity support. These development activities may include drives in pre-production vehicles and will provide exposure to vehicle networks, cloud connectivity, and fleet management. The connectivity integration engineer may support time-critical test events and may be asked to support special investigations and projects. Responsibilities Your typical day looks like this: Attend meetings with development teams to understand new system designs and to align on test plans and expectations. Create design documentation and test plans for a new cellular feature implementation. Perform cellular testing using a specialized test chamber and test equipment; work with test equipment vendors to ensure compatibility and system integrity for automation. Perform complementary cellular testing on-vehicle using a prototype or fleet vehicle. Analyze logs from internal and external bugs to assess root cause of failure and create new work scope for dev teams. Core capabilities and behaviors should include: Strong fundamentals for test execution and documentation. The ability to correlate meaningful feedback from disparate data sets. Keen observation skills of wireless (WiFi, 5G, LTE, GPS, Bluetooth) behavior and performance. Deep understanding of telematics, end-to-end data routing and validation of data fidelity and frequency over different data links. Understanding of middleware and layered/encapsulated network schemes. Native Linux proficiency (command-line, tools, bring-up); embedded Linux a plus. Ability to identify and distinguish issues in hardware and/or software. Engage in discussions to test, bug fix, and optimize feature development based on data. Qualifications Bachelor's degree in either Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or Information Systems. Good understanding of 5GNR and LTE protocol stack. A working understanding of the OSI model and network protocols. Basic proficiency with scripting languages including Python and/or Shell. Basic proficiency with database manipulation and data presentation. Triage and diagnosis of complex connectivity issues to include root cause analysis, stability, and interoperability problems. A mindset geared towards collaboration and forward progress. Ability to thrive under pressure and time constraints. Availability to travel and/or support activities during off-peak hours as-needed. Pay Disclosure Salary Range/Hourly Rate for Palo Alto, California Based Applicants: $117,000 - $149,000 USD (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian and Volkswagen Group Technologies provides robust medical/Rx, dental and vision insurance packages for full-time and part-time employees, their spouse or domestic partner, and children up to age 26. Full Time Employee coverage is effective on the first day of employment. Part-Time employee coverage is effective the first of the month following 90 days of employment. Equal Opportunity Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status. Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian and VW Group Technologies (“Rivian and Volkswagen Group Technologies”) may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and VW Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies' service providers, including providers of background checks, staffing services, and cloud services. Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information. Please note that we are currently not accepting applications from third party application services. #J-18808-Ljbffr

A tech-focused financial services firm in California is seeking a Cybersecurity/SRE professional to secure and maintain the reliability of its infrastructure. Responsibilities include building secure applications on AWS, managing identities, and strengthening Kubernetes security. The ideal candidate has expertise in Python, Terraform, and large distributed systems, and holds a proactive, problem-solving mindset. Competitive salary and comprehensive benefits included. #J-18808-Ljbffr

Cupertino, California, United States Machine Learning and AI The Siri organization is looking for passionate Machine Learning Systems Engineers to join us in developing and shipping state-of-the-art generative AI technology to advance Siri and Apple Intelligence for Apple's customers. Siri is being elevated by the huge opportunities that AI brings.The organization is responsible for training on-device & cloud models, evaluating various approaches, pushing the envelope with the latest generative AI research developments, and ultimately delivering product critical models that power Siri and Apple Intelligence experiences. These models ship across a wide range of products at Apple, including iPhone, Mac, Apple Watch and more, enabling millions of people around the world to get things done every day. Our team provides an opportunity to be part of an incredible research and engineering organization at Apple. By joining the team, you will work with highly talented machine learning researchers and engineers, and work on meaningful, challenging and novel problems. Description As a Machine Learning Systems Engineer, you will work closely with Siri modeling teams and other cross-functional teams to optimize model training and inference. You will be working across the ML stack at Apple, finding opportunities to make models performant, train quicker, and run faster on Apple's custom Apple Silicon. You will be joining a team that spans data, modeling, evaluation, deployment and working with engineers across ML infrastructure, inference, and framework teams. You will write production-level code to train and deploy models that will impact Apple's customers and enrich their lives. You are an ideal candidate if you: Are not afraid of CUDA OOM or NCCL errors Can dig deep into an ML library to understand how tiny details impact the model Can understand complex ML systems that include data, training pipeline, export, and inference engine Minimum Qualifications Experience in model lifecycle of training, evaluation, and deployment of models Strong understanding of Machine Learning (ML) model architectures (e.g. Transformers, CNN) and ML training loop Strong proficiency in Python and ML framework such as PyTorch Bachelor's degree in Computer Science, Engineering, or related discipline, or equivalent industry/project experience Preferred Qualifications Collaborative with experience working in large inter-teams projects Expertise in ML and LLM optimization such as quantization, KV Cache, Speculative Decoding Familiarity with ML training methodologies such as FSDP, DDP, and other parallelism Experience in an LLM training/eval library such as HuggingFace transformers, lm evaluation harness, Megatron-LM. Experience in optimizing LLM models and deploying LLM models Proficiency in a compiled programming language (e.g. Swift, C/C++, Java) 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 $272,100, 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 . #J-18808-Ljbffr

A pioneering quantum computing company in Palo Alto seeks an Active Photonics R&D Engineer. This role involves designing and testing active photonic devices essential for fault-tolerant quantum computers. The ideal candidate will have hands-on experience with photonic technologies and the ability to work collaboratively across teams. Join us in shaping the future of quantum computing and make an impact in various industries. #J-18808-Ljbffr

Principal Enterprise IT Engineer, IT & Security About 1X: We're an AI and robotics company based in Palo Alto, California, on a mission to build a truly abundant society through general-purpose robots capable of performing any kind of work autonomously. We believe that to truly understand the world and grow in intelligence, humanoid robots must live and learn alongside us. That's why we're focused on developing friendly home robots designed to integrate seamlessly into everyday life. We're looking for curious, driven, and passionate people who want to help shape the future of robotics and AI. If this mission excites you, we'd be thrilled to hear from you and explore how you might contribute to our journey. Role Overview The Principal Enterprise IT Engineer will lead the strategy, architecture, and implementation of enterprise IT systems across the company. This role will define standards for identity, endpoint management, collaboration, and security while scaling IT infrastructure to support rapid organizational growth. You'll play a key leadership role, mentoring senior engineers and influencing cross-functional and executive stakeholders to align IT operations with strategic business needs. Responsibilities Define and drive enterprise IT strategy, architecture, and roadmaps across identity, collaboration, and device platforms Lead administration and scaling of Google Workspace, Okta, Intune, and MDM platforms with a focus on Zero Trust principles Develop and implement automation frameworks and scripting (Bash, Python, PowerShell) to streamline IT operations Align IT systems with compliance standards (e.g., SOC2, ISO 27001) and proactively mitigate enterprise risks Ensure seamless integration of IT systems with engineering, manufacturing, and robotics environments Act as senior escalation point for IT operations, mentoring IT engineers and building a high-performance function Influence executive and cross-functional stakeholders to ensure IT strategy supports business growth Requirements Expert-level knowledge of Google Workspace, Okta, Microsoft Intune, and MDM platforms across multiple OS (mac OS, Windows, iOS, Android) Strong scripting and automation skills (Bash, Python, PowerShell); experience implementing Zero Trust security Proven experience scaling IT systems globally in high-growth, cloud-first or hybrid environments Ability to lead IT architecture initiatives and partner with executive and security leadership Experience mentoring senior IT engineers and leading high-performance teams Preferred: Familiarity with Terraform, Ansible, and IT support for robotics or engineering-heavy environments Preferred: Certifications such as CISSP, Okta Certified Architect, Google Workspace Admin, or Microsoft Enterprise Mobility Benefits & Compensation Salary: $180,000 - $235,000 Health, dental, and vision insurance 401(k) with company match Paid time off and holidays Equal Opportunity Employer 1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, or any other characteristic protected under applicable federal, state, or local law. #J-18808-Ljbffr

A semiconductor client in the Bay Area is looking for an Application Engineer (AE) to provide technical leadership and support in the sales and support of V93000 (V93k) Semiconductor Test Systems and Applications. The ideal candidate will have proven experience with Automatic Test Equipment (ATE), specifically utilizing Advantest's V93000 hardware and SmarTest 7 or 8 software. This role will be critical in developing, implementing, and optimizing test solutions for next-generation high performance computing devices. • Lead and support sales and application efforts for V93000 Semiconductor Test Systems. • Engage in sales process activities: requirements analysis, demos, benchmarks, competitive positioning, implementation. • Ensure product functionality and integration into customer environments. • Analyze complex customer requirements and provide technical expertise (performance, design, optimization, test program development). • Design and validate technical solutions aligned with customer business goals. • Identify and manage resources and deliverables for customer solutions. • Share emerging technologies with global technical peers. • Influence customer decisions through technical value creation. • Create and manage project plans for complex initiatives. • Represent customer needs to internal teams. Deliver customer training and consultation. Required Skills & Experience • Bachelor's in Electrical/Electronic Engineering or related field. • 3+ years in IC test or application development. • Experience with V93000 SMT7/8 and bench instruments. • C++ or Java programming skills. Nice to Have Skills & Experience • SMT8 experience • Knowledge of VLSI and semiconductor manufacturing. • Scripting in Perl or Python.

A leading technology company is seeking a Machine Learning Engineer to contribute to the development of Siri. You will work on designing and optimizing machine learning algorithms and collaborate cross-functionally at Apple. The ideal candidate will have strong programming skills and experience in machine learning. Salary base range is $126,800 to $220,900, with additional benefits including stock options and comprehensive healthcare. #J-18808-Ljbffr