Philips jobs in San Francisco, CA

Your role: * Providing implementation support, ensuring that optimal configuration and training services are included as part of the overall solution. Developing and implementing clinical training plans in partnership with technical consultants, local sales and service teams. * Developing and maintaining long term customer relationships in support of recurring revenue strategy, while ensuring successful clinical and physician adoption of Philips solutions. Consulting with customers throughout the solution delivery and implementation, to provide for a smooth, effective and successful implementation of Philips solutions. * Configuring and/or managing the configuration of various components and software revisions of complex Philips solutions, to accommodate Application and/or operational workflow in the customer's environment. Guiding the customer in the testing of workaround, clinical integration, and new functionality of Philips solutions. * Analyzing the customer's existing workflow and facilitating proper change management in the clinical or operational environment. Ensuring proper testing of the system and establishing a comprehensive training plan to provide for a smooth transition of the solution to the customer. * Identifying, investigating and resolving application issues and potential defects. Documenting and submitting those according to standard processes. You're the right fit if: * You have 3+ years of clinical experience in exercise, physiology, kinesiology, nursing, allied healthcare or equivalent. * Your skills include: * Clinical education/teaching experience, exceptional communication and presentation skills * Philips Diagnostic Cardiology Solutions Product Knowledge strongly preferred (Holter/cardiographs- TC70, TC50/ST80i Stress System/iECG). * Flexibility and tolerance of ambiguity, project management, high comfort level with technology and informatics concepts, detail oriented, organized and possess the ability to be managed remotely. * You have a Bachelor's or Master's Degree in Exercise Physiology, Kinesiology, Nursing, Business Administration or equivalent. * You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this Clinical position. You must be able to lift up to 60 pounds for product demonstrations and be comfortable with general installation tools. * You are detail oriented, organized and possess the ability to work autonomously. * The ability to travel 80% of the time and live near a metropolitan airport. How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company's facilities. Field roles are most effectively done outside of the company's main facilities, generally at the customers' or suppliers' locations. This is an office role. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others. * Learn more about our business. * Discover our rich and exciting history. * Learn more about our purpose. * Learn more about our culture. Philips Transparency Details $84,000 to $133,000 (AZ, AR, ID, IA, KS, KY, LA, ME, MS, MO, NE, NM, OK, SC, SD, TN, UT, or WV) $88,000 to $140,000 (AL, CO, FL, GA, HI, IL, IN, MI, MN, NV, NH, NC, ND, OH, OR, PA, TX, VT, VA, WI, or WY) $93,000 to 147,000 (AK, DE, MD, NY, RI, or WA) $99,000 to $157,000 (CA, CT, DC, MA, or NJ) The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity. In addition, other compensation, such as an annual incentive bonus, sales commission or long-term incentives may be offered. Employees are eligible to participate in our comprehensive Philips Total Rewards benefits program, which includes a generous PTO, 401k (up to 7% match), HSA (with company contribution), stock purchase plan, education reimbursement and much more. Details about our benefits can be found here. At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case. Additional Information US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future. #ConnectedCare This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates. Interested candidates are encouraged to apply as soon as possible to ensure consideration. Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.

A leading technology company in San Francisco is seeking a strategic leader to drive revenue growth and manage licensing relationships in the consumer electronics sector. The role demands deep industry knowledge, strong relationship-building skills, and a proven ability to lead high-impact teams. Competitive salary range is $190,300 - $261,500, plus bonuses and benefits, with opportunities for equity. #J-18808-Ljbffr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Our team supports high-impact executive events and company-wide keynotes-both at NVIDIA Headquarters and internationally. We are seeking an Audio Visual Technician - Live Broadcast and Events to ensure technical excellence at the intersection of corporate theater, broadcast, high-end staging, and concert touring environments. This role will blend broadcast engineering, AV production, and live event experience. You will support existing team members at NVIDIA HQ and globally for keynotes and high-profile events. The ideal candidate thrives under pressure, adapts quickly, and understands all aspects of AV technology, from live streaming to concert-level staging. We encourage department specialists as well as technology generalists to apply. What you'll be doing: * Set up and operate AV systems (audio, video, lighting, networking) for live broadcasts, keynote presentations, executive addresses, and corporate events. * Prepare, test, schedule, and engineer live streaming to platforms including YouTube, Twitch, LinkedIn, and hybrid events using vMix, Teams, Zoom, and Kaltura. * Engineer and operate broadcast equipment: video switchers, digital audio consoles, routers, servers, graphics systems, LED walls, and camera systems. * Use AV-over-IP protocols (e.g., Dante, MADI, SMPTE ST 2110, NDI) and manage digital video standards (EDID, resolutions, frame rates, color depth, codecs). * Provide technical support for Tier 1-3 events (Flagship GTC, Speaking engagements with our Executive team, and major product launches), both in-person and hybrid formats. * Maintain AV lab and inventory: systematic equipment organization, logging, maintenance, and detailed tracking through Google/SharePoint systems. What we need to see: * 3+ years professional AV experience, including live broadcast, event production, and concert or touring environments (bonus for those with large venue experience!). * Bachelor's degree or equivalent experience. * Proficiency across Audio systems: Yamaha digital mixers, Shure microphones, Clearcom/Freespeak intercom, professional line arrays. Proficiency across Video systems: Barco E2, Christie Spyder X80, Black Magic Atem, broadcast mixing systems. * Working knowledge of AOTO, ROE, Absen, InfiLED LED walls, Megapixel and Brompton processors. * Background with Lighting systems: Chamsys, GrandMA, Hog, Moving light fixtures, concert-level lighting rigs and studio environments. * Proficiency with Streaming systems: live streaming hardware/software. * Experience working in hotels, conference centers, corporate theaters, and large-format venues. * Outstanding verbal/written communication and presentation skills. * Ability to travel domestically and internationally up to 40%, including event setup/support/teardown (up to 14 days at a time). * Possess an active CA driver's license and able to frequently lift objects over 40lbs. Ways to stand out from the crowd: * Experience within the NVIDIA ecosystem of products and services. * Live event touring experience (large venue) * Corporate theater and high-end staging background * Familiarity with emerging audiovisual technology trends * Proactive, determined, and resourceful approach-motivated to independently solve problems and deliver results. Strong organizational and time management skills. Outstanding ability to solve complex problems under pressure. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, results-oriented and enjoy learning while having fun, then what are you waiting for? Apply today! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 100,000 USD - 161,000 USD for Level 2, and 124,000 USD - 195,500 USD for Level 3. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 16, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking for security researchers passionate about offensive research across different platforms. Do you have experience with identifying hardware and software vulnerabilities, developing PoC, and tools for automation in vulnerability research? Are you creative and devious in your offensive approach? We want to hear from you! You should demonstrate ability to excel in an environment with innovative and fast paced development on the worlds most powerful integrated software and hardware computing platform. What you'll be doing: Core job duties will identify vulnerabilities in our embedded firmware and critical system software, building proof of concepts, and collaborating with development teams to remediate them. Candidates will invest in improving current tools and offensive practices for bug discovery and evaluation while supporting remediation efforts. We expect team members to exercise modern tools for modeling new attack vectors on unreleased and emerging technology platforms. The most impactful candidates can simulate real attacker behaviors, break systems by exploiting design assumption and effectively communicate their findings for action. Focus will be to increase resilience of the end products against all forms of attack through close collaboration with extended SW and HW offensive security teams. Products targets span HPC data centers, consumer electronics, autonomous platforms, AI/cloud solutions, and a variety of embedded/IOT platforms providing a rich and complex target space to exercise your skills. What we need to see: We'd like to see proven experience and offensive security research (CVE's, publications, patents, tools, bounties) with demonstrated responsible disclosure practices. Strong skills in reverse engineering and automation (IDA, Ghidra), fuzzing (AFL, WinAFL, Syzcaller) and exploitation (ROP, memory corruption) are important to success; as well as understanding of modern embedded cryptography and common security issues. Experience with ARM/X86/RISCV assembly (include shellcode development) and low-level C programming paired with understanding and experience with micro-architectural attacks (side channels, fault injection, etc) is critical. Demonstrated skill for secure code reviews of complex source projects, and exposure to code quality practices (SDL, threat modeling) that support development goals. Candidates should be comfortable working collaboratively and remotely with others to accomplish complex team goals, enabling delivery of outstanding security for our products. BS/BA degree or equivalent experience 12+ years in a security related field Ways to stand out from the crowd: Navigating complex platform concerns and ability to analyze composed systems to identify high risk components and established testing targets and objectives. Practical skills using Hex-Rays IDA Pro and plugin/loaders development (or similar experience with Ghidra) is valuable Leveraging innovative strategies and AI advancements to accelerate discovery and resolution of security risks. Experience with enclave models such as NVIDIA CC, ARM TEE, Intel SGX/TDX, AMD SEV-SNP and other isolation technologies. Development and integration of AI tooling and skills to accelerate and improve activities and or experience with offensive actions targeting AI models (LLM or other) components within those platforms. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life's work, to amplify creativity and intelligence. Make the choice to join us today! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 425,500 USD for Level 6. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 5, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's an outstanding legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. As a Senior Technical Marketing Engineer for Datacenter Networking, you will join a dedicated team that is passionate about delivering outstanding developer and user experiences on NVIDIA's networking hardware and software products. This position in Santa Clara, CA, gives you the chance to collaborate with engineering, product, marketing and executive teams and contribute to the advancement of datacenter networking What you'll be doing: * Evaluate usability, performance, and developer experience across NVIDIA networking (Ethernet/InfiniBand, DPUs/SmartNICs, software). Identify gaps and influence roadmaps. * Build and run clear, repeatable benchmarks and create competitive analyses. * Craft and build demos that showcase innovative end-to-end use cases. * Roleplay as "customer 0" and provide feedback and solutions whenever necessary. * Collaborate with multi-functional partners on go-to-market planning and execution. * Engage with product management and engineering to drive and track the impacts of NVIDIA's complete portfolio on crucial application performance benchmarks. * Coordinate with internal PR resources and external outlets on the publication and promotion of technical marketing content. What we need to see: * We are looking for someone with a strong educational background in Computer Science or Engineering (BS/MS Degree) or equivalent experience in a Technical Marketing role. * At least 5 years of overall experience, with a minimum of 3 years in technical marketing or customer co-innovation working on data center networking products. * Hands-on with both N-S and E-W networking in real environments. * Solid understanding of scale-out network designs (e.g., leaf-spine) and capacity/availability trade-offs. * Familiarity with network collectives for AI workloads. Proficiency in C/C++, Golang, and Python AI/ML frameworks is preferred. * Experience with public and hybrid clouds in an Enterprise setting. Knowledge of deploying and automating network infrastructure in public/private clouds, with experience in Ansible/Terraform. * Help develop, set up, and maintain large storage clusters. This includes monitoring, logging, and alerting. Also, work with AI/ML workloads to track and analyze behavior in big clusters and workflows, which can be complex. * Excellent written and verbal interpersonal skills, including the ability to author original content (both written and presentations). * Lead and influence and work with an elite team of hardware and software engineers. Ways To Stand Out From The Crowd: * Hands‑on experience setting up and tuning HPC clusters with Slurm, Kubernetes, or other schedulers. * Experience with NVIDIA BlueField DPU and DOCA. * Exposure to high-speed fabrics (Ethernet or InfiniBand) and basic optics/cabling. * Familiarity with storage traffic patterns (e.g., NVMe-oF) and how they impact networks. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 3, and 144,000 USD - 230,000 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 26, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Allow your passion for improving lives to shine in this role where you'll be responsible for customer relationship management through the effective use of technical knowledge to install, troubleshoot, service, and maintain equipment at customer sites. Your role: * Provide exceptional customer service by adhering to customer entitlements, setting clear expectations, and meeting commitments and arrival times to address and resolve customer needs. Understand the customer's business and competitive environment; generate service revenue. * Actively participate as a member of the regional work team; work to improve team processes and identify training gaps. Seek out opportunities to increase capability and capacity (i.e. may be required to become qualified in multiple modalities, learns new tools). * Perform all administrative duties within established Philips, State, and Federal regulatory requirements and timeframes including timesheets, service work orders, expense reports, Field Change Orders (FCO), preventative maintenance (PM), installation documents, site and service documentation, and other related paperwork. Adhere to established training, quality, and safety requirements. * Utilize tools, support, resources, and escalation processes within required time frames to resolve customer and system problems timely and effectively. Complete PMs, FCOs, installation and all related tasks (diagnose and resolve electronic, network, and mechanical problems). * Approximately 70% travel across the specified geography is required. The average driving time is 1-4 hours daily. Occasional overnight stays and travel by air and/or train may be required. You're the right fit if: * You've acquired 1+ years of experience in a diagnostic imaging (field or hospital-based) service environment or 3+ years' in electromechanical industries. Preferred experience in Ultrasound (UL) and/or Diagnostic X-Ray (DXR) imaging equipment. * Your skills include the ability to understand and apply electronic, mechanical, and networking theory to install, diagnose, and repair equipment, including knowledge and use of all necessary tools and test equipment. * You have an Associate Degree in electronics or equivalent combination of education and experience; BSEE/BSEET/BSME/BSMET preferred. * You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this Field Service position. * You must be able to: * Work in an office/home office and/or remote setting, as well as in a hospital/healthcare environment; adhere to requirements. * Work flexible hours (based on business needs to include overtime, weekends, and on-call rotations). * Safely work with radiation sources and/or radioactive materials; wear all required personal protective equipment. How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company's facilities. Field roles are most effectively done outside of the company's main facilities, generally at the customers' or suppliers' locations. This is a field role. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others. * Learn more about our business. * Discover our rich and exciting history. * Learn more about our purpose. * Learn more about our culture. Philips Transparency Details The hourly pay range for this position in KY is $27.00 to $42.00, plus overtime eligible. This role also includes field service and lead generation incentive bonus plans, on-call pay, company fleet/car, training, and advancement opportunities. The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity. In addition, other compensation, such as an annual incentive plan, field service incentive bonus, sales commission or long-term incentives may be offered. Employees are eligible to participate in our comprehensive Philips Total Rewards benefits program, which includes a generous PTO, 401k (up to 7% match), HSA (with company contribution), stock purchase plan, education reimbursement and much more. Details about our benefits can be found here. At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case. Additional Information US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future. For this position, you must reside in or within commuting distance to Ashland/Pikeville, KY. This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates. Interested candidates are encouraged to apply as soon as possible to ensure consideration. Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking a passionate and experienced Senior Photonics Assembly Engineer who is committed to making a difference in the world through their contributions. You will be responsible for development of Photonics Assembly process & equipment for NVIDIA's next generation products as part of the Advanced Technology Group (ATG). Do you have a strong background in Silicon Photonics fabrication and assembly? Are you proficient in one of the related fields, such as Optical Physics, Photonics design or Photonics simulations? If yes, then we'd love to hear from you! The job requires working on complex problems and building advanced products; you will be providing solutions that are highly creative and directly contribute to product differentiation. What you'll be doing: * Lead Photonics assembly tool & process development for NVIDIA's next generation Silicon Photonics products and platforms. * Responsible for building & deploying high volume fiber assembly tool and qualifying photonics assembly pilot line for scale up of Nvidia's silicon photonics products. * Responsible for defining tool architecture, tool features and functions, develop scalable processes for fiber alignment on large package body platforms, define assembly flow and own assembly quality and reliability. * Work closely with assembly tool vendors to build, install, deploy and qualify Photonics Assembly equipment across high volume manufacturing sites. * Partner with internal design, fabrication and packaging multi-functional teams to develop new assembly requirements, assembly flows, help with design of different test structures, share data, and spearhead new assembly processes. * Drive photonics assembly partners to build assembly pilot line and train partner engineers and technicians on assembly tools and processes. * Drive continuous improvement in assembly cycle time and assembly quality/reliability. What we need to see: * Degree in Optics, Electrical Engineering, Mechanical Engineering, Materials Science, Physics or related fields with equivalent experience. * 8+ years optical assembly, test or packaging experience. * Strong background & experience in Silicon Photonics design, fabrication, test, packaging and assembly. * Hands-on experience in Photonics assembly development, especially optical fiber alignment at chip or package-scale, building and qualifying Photonics assembly equipment and analyzing assembly data * Strong statistical analysis skills - ability to use data visualization techniques to deliver assembly data analysis and optimizing manufacturing techniques * Understanding of quality control, statistical process control and DOE techniques * Excellent written and oral communication skills Ways to stand out from the crowd: * Experience in Silicon Photonics device design or fabrication, including familiarity with photonics test structure design * Solid understanding of AutoCad, Zemax or other opto-mechanical software tools Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family *********************** Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 16, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

By submitting your resume, you're expressing interest in one of our 2026 Mixed Signal Design and Digital Circuit Design Internships. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Hardware teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Throughout the 12-week minimum full-time internship, students will work on projects that have a measurable impact on our business. We're looking for students pursuing Bachelor's, Master's, or PhD degree within a relevant or related field. Potential Internships in this field include: Mixed Signal Design Analog Fundamentals, Analog Simulation (Noise Analysis, Loop Stability Analysis, AC/DC/Transient Analysis, Monte-Carlo, etc.) Layout and Physical Design Fundamentals CMOS Analog Circuit Design (especially in FinFET), High-Speed Circuit Design, Serial Communication Standards (PLL, DAC (Digital-to-Analog Converters), ADC (Analog-to-Digital Converters), and Bandgaps) Lab Testing Equipment (Oscilloscopes, Spectrum Analyzers) Digital Circuit Design Digital Circuit Design and Device Fundamentals, Place and Route Design Tools, Datapath Tiling Techniques, SPICE Simulations Experience with crafting Flip Flops, Level Shifters, Math Cells, Register Files, etc. Automation Methods, Algorithm and Power Distribution, Power Management Circuits/Solutions EDA Tools (Cadence, Synopsys) What we need to see: Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship. Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: Verilog, SystemVerilog, VHDL, Perl, Python, SPICE, HSPICE, CMOS, FinFET, Cadence, Synopsys Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors. Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD. You will also be eligible for Intern benefits. Applications are accepted on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

By submitting your resume, you're expressing interest in one of our 2026 Software Engineering Internships. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Software teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Throughout the 12-week minimum full-time internship, students will work on projects that have a measurable impact on our business. We're looking for students pursuing Bachelor's, Master's, or PhD degree within a relevant or related field. Potential Internships in this field include: Development Tools Debugging complex system-level issues using Jenkins Course or internship experience related to the following areas could be required: Relational Databases, Linear Algebra & Numerical Methods, Operating Systems (memory/resource management), Scheduling and Process Control, Hardware Virtualization Cloud Supporting overall architecture and design of our cloud storage infrastructure Implementing and troubleshooting storage and data platform tools, automating storage infrastructure end-to-end Course or internship experience related to the following areas could be required: Distributed Systems, Data Structures & Algorithms, Virtualization, Automation/Scripting, Container & Cluster Management, Debugging Tools Infrastructure Building industry leading technology by proving workflows and infrastructure, alongside a team of experts in production software development and chip design methodologies Enabling success for content running on the chip from application tracing and analysis to modeling, diagnostics, performance tuning, and debugging Course or internship experience related to the following areas and technologies could be required: Unix/Shell Scripting, Linux, Java, JavaScript (including Node, React, Vue), C++, CUDA, OOP, Go, Python, Git, GitLab, Perforce, Kubernetes and Microservices, Schedulers (LSF, SLURM), Containers (Docker), Configuration Automation (Ansible) Machine Learning Operations Deep Learning, GPU Computing, Accelerated Computing Validation Frameworks for Deep Learning, Deep Learning Frameworks and Libraries (NumPy, SciPy, cu BLAS, cu DNN) Data Preprocessing, Training Acceleration (CUDA, cu DNN, NCCL), Convolution Operations (cu DNN), Real-Time Inference (TensorRT) Building Infrastructure for Back-End Analytics What we need to see: Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship. Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: Java, JavaScript, (including Node, React, Vue), SQL, C, C++, CUDA, OOP, Go, Python, Git, Perforce, Kubernetes and Microservices, Schedulers (LSF, SLURM), Containers (Docker), Configuration Automation (Ansible) Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors. Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD. You will also be eligible for Intern benefits. Applications are accepted on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

**Introduction** IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team who invent what's next in computing, always choosing the big, urgent and mind-bending work that endures and shapes generations. Our passion for discovery, and excitement for defining the future of tech, is what builds our strong culture around solving problems for clients and seeing the real world impact that you can make. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. **Your role and responsibilities** We are looking for a talented and highly motivated intern to help advance our efforts in building autonomous data management systems. The work will include using foundation models (FMs) and AI agents for tasks such as data discovery, knowledge representation, data access and retrieval with querying, and automated data-driven insights. This is the core of the role: turning FMs and AI agents into dependable partners for real data work across modern data stacks. Our focus is on research and development for data workflow orchestration - taking natural language all the way to trusted insights across multiple tools and functions. This includes step-by-step planning and reasoning for complex data workflows, developing low-computational-cost inference techniques so FMs and AI agents can efficiently automate or assist users on data tasks, and advancing trustworthy data agents where gauging factuality, faithfulness, and transparency of outputs over structured and unstructured data is critical. In this context, uncertainty quantification and mitigation, along with improved planning and reasoning, play a central role, providing useful tools to strengthen user confidence, manage model error propagation, and enable uncertainty-aware post-training. Together, these efforts make agentic solutions more efficient, accurate, and trustworthy. Skills and tasks of interest include: * [LLM for code generation] Using foundation models for code generation specific to data tasks such as SQL or NoSQL for data retrieval, python code generation for analytical insights. * [Knowledge Graphs, Multi-Modal FMs] Combining foundation models, knowledge graphs, multi-modal structured and unstructured data to improve data discovery and automated Text-to-SQL. * [FM Inference] Improving FM inference for both answer quality and computational cost. * [LLMs for DataOps] Creating generative-AI tooling for DataOps (e.g., data integration and flows), analogous to DevOps accelerators but for data engineering and analytics. * [Efficient and Reliable AI Agents] Creating efficient AI Agents that can reliably operate as part of an autonomous system. **Required technical and professional expertise** * Pursuing graduate studies in computer science or related fields * At least one main author research publication at a top conference in AI such as NeurIPS, AAAI, VLDB, SIGMOD, IJCAI, ICML, ICLR, and ICAPS * Familiarity and working expertise with large language models **Preferred technical and professional experience** * Familiarity with knowledge graphs, SQL, RAG, Agentic frameworks * Familiarity with reinforcement learning, AI planning * Familiarity with prompt optimization techniques IBM 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, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction** Product Managers play a pivotal role in shaping offerings that leverage artificial intelligence, machine learning, and data analytics to solve complex business challenges. IBM follows a structured product lifecycle management process, integrating agile methodologies, data-informed decision-making, and cross-functional collaboration. Product Managers work across engineering, design, data science, and go-to-market teams to deliver innovative, secure, and scalable AI-powered solutions. **Your role and responsibilities** The responsibilities of a Product Manager include: -Define and drive product strategy for AI and data-centric offerings, aligning with business goals and user needs. -Collaborate with cross-functional teams including data scientists, engineers, designers, and stakeholders to deliver high-quality features and models. -Translate complex technical capabilities (e.g., ML models, data pipelines, APIs) into clear product requirements and user stories. -Prioritize product backlog using data-driven frameworks and ensure alignment with roadmap and KPIs. -Facilitate ethical AI practices by integrating fairness, transparency, and compliance into product development. -Monitor product performance using analytics tools and user feedback to iterate and improve continuously. -Communicate product vision, strategy, and progress to internal and external stakeholders, including executives and customers. -Champion user experience and usability in AI interfaces, ensuring intuitive and trustworthy interactions. **Required technical and professional expertise** '-Strong product management fundamentals: roadmap planning, backlog grooming, stakeholder alignment, and go-to-market execution. -Understanding of AI/ML concepts, data lifecycle, and model deployment practices. -Experience with Agile methodologies, including sprint planning, retrospectives, and iterative delivery. -Proficiency in product analytics tools and data visualization platforms -Strong communication and storytelling skills to translate technical insights into business value. -Ability to manage dependencies across teams and anticipate risks in product delivery. **Preferred technical and professional experience** '-Experience with enterprise AI products or platforms -Exposure to AI ethics frameworks and responsible AI practices. -Comfortable working with global teams across time zones and cultures. IBM 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, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

NVIDIA's AI Software Platforms team seeks a technical product manager to accelerate next-generation inference deployments through innovative libraries, communication runtimes, and kernel optimization frameworks. This role bridges low-level GPU programming with ecosystem-wide developer enablement for products including CUTLASS, cu DNN, NCCL, NVSHMEM, and open-source contributions to Triton/FlashInfer. As NVIDIA Product Managers, our goal is to enable developers to be successful on the NVIDIA Platform, and push the boundaries of what is possible with their AI deployments! For Inference, we are the champions inside NVIDIA for AI developers looking to accelerate their deployments on GPUs. We work directly with developers inside and outside of the company to identify key improvements, create roadmaps, and stay alert on the inference landscape. We also work with NVIDIA leaders to define clear product strategy, and marketing team teams to build go-to-market plans. The Product Management organization at NVIDIA is a small, strong, and impactful group. We focus on enabling deep learning across all GPU use cases and providing extraordinary solutions for developers. We are seeking a rare blend of product skills, technical depth, and drive to make NVIDIA great for developers. Does that sounds familiar? If so, we would love to hear from you! What you'll be doing: Architect developer-focused products that simplify high-performance inference and training deployment across diverse GPU architectures. Define the multi-year strategy for kernel and communication libraries by analyzing performance bottlenecks in emerging AI workloads. Collaborate with CUDA kernel engineers to design intuitive, high-level abstractions for memory and distributed execution. Partner with open-source communities like Triton and FlashInfer to shape and drive ecosystem-wide roadmaps. What we need to see: 7+ years of technical PM experience shipping developer products for GPU acceleration, with expertise in HPC optimization stacks. Expert-level understanding of CUDA execution models and multi-GPU protocols, with a proven track record to translate hardware capabilities into software roadmaps. BS or MS or equivalent experience in Computer Engineering or demonstrated expertise in parallel computing architectures. Strong technical interpersonal skills with experience communicating complex optimizations to developers and researchers. Ways to stand out from the crowd: PhD or equivalent experience in Computer Engineering or a related technical field. Contributed to performance-critical open-source projects like Triton, FlashAttention, or TVM with measurable adoption impact Crafted GitHub-first developer tools with >1k stars or similar community engagement metrics Published research on GPU kernel optimization, collective communication algorithms, or ML model serving architectures Experience building cost-per-inference models incorporating hardware utilization, energy efficiency, and cluster scaling factors Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 8, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. ATE/SLT hardware team provides the interface hardware of IC package testing at final test and system level test. Hardware includes highly custom high-speed sockets, active thermal plungers, and load boards. Take an active role in hardware design for both product bring-up and HVM, design and manufacture improvement, and verification/debug, to production support. What you'll be doing: Review and approve the design of test socket, thermal plunger, and other accessories related to ATE/SLT IC testing for product bring-up and production. Provide ATE and SLT test fixture/HW solutions from design, manufacturing order, schedule monitoring, verification, and improvement. Drive ATE and SLT socket/thermal technology, solutions, and qualifications. Drive DOE with a sense of responsibility from collecting and analyzing engineering data and making decisions and recommendations for improvement. Provide cross-functional support. Drive a project and host a meeting internal and external stakeholders. Apply strong hardware troubleshooting and root-cause analysis. Possess the ability to provide preventive actions. Able to debug ATE/SLT hardware setup such as socket, thermal plunger, PCB, chiller, and handler. Require on-duty lab support. Weekend support may be necessary. What we need to see: Bachelor's degree or equivalent experience is required. EE and ME related degrees are preferred. 5 plus years of IC testing engineering and ATE/SLT hardware engineering experience. Having test socket knowledge is a strong plus. Familiar with test socket mechanics, footprints, and contact pins. Fully capable of understanding mechanical drawings and knowing mechanical and electrical circuit knowledge. Have IC testing knowledge of ATE/SLT interface hardware, maintenance, troubleshooting, and repairs. (Socket, load board, thermal plungers) Having ATE tester knowledge is a plus. Proven troubleshooting skills and ability to provide solutions and prevent reoccurrence. Willing to conduct hands-on-work such as socket pin repair, electric wire, and tiny capacitor/resistor. Able to lift 30 pounds load board during unboxing, boxing, and a short transportation. Have the knowledge of prevention and control of electrostatic discharge (ESD) With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers; we have some of the most forward-thinking and hardworking people in the world working for us and, due to unparalleled growth, best-in-class teams are rapidly growing. If you're creative and autonomous with a real passion for your work, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 128,000 USD - 201,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 18, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are seeking a motivated Technical Account Manager or hardware engineer with soft skills, passionate about HPC data center and networking technologies, comfortable working with enterprise customers to provide comprehensive solutions for sophisticated installations, maintenance, or operations for a broad scope of groundbreaking networking products. You will be a main point of contact for our customers; assisting them with technical inquiries, debugging, and resolving their issues. As a member of our TAM team, you are a meticulous, proficient communicator who is fundamentally interested in helping our customers succeed, taking ownership in resolving issues, and ensuring a high level of customer satisfaction is maintained and delivered. A significant part of the role is also to interact with Engineering, Marketing, and Support teams regularly. What you will be doing: Work on-site with NVIDIA Enterprise customers in the Seatle area to resolve sophisticated technical issues and customer concerns through meticulous research and reproduction for customers installing our products with a focus on Infiniband, next-generation AI, and HPC server technologies. Own and resolve customer issues during installation, operation, maintenance or product application or interoperability with other vendors Work with the latest hardware (e.g. GPUs, AI accelerators, high-speed interconnects) and software technologies such as ML frameworks and tools like Spark, Kubernetes, and Ceph. Bringing independent analysis, communication, and problem-solving skills to improve customers' experiences. Author and incorporate technical solutions into our knowledge base Be a technical resource, develop, re-define and document standard methodologies to share with internal teams (Support / R&D) for support processes and improvements. What we need to see: 8+ years in providing in-depth customer support and debugging for hardware and software products. Bachelors degree or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or related field Profound knowledge and experience with Linux and Networking (LFCS / RHCSA) Expertise with data center virtualization (VMWARE, Docker, Kubernetes) concepts and trends. Exceptional interpersonal skills with the ability to maintain and lead the overall resolution for any critical issue raised by our customers, under all circumstances. Superb communication and presentation/oral skills Strong organizational skills and able to prioritize / multi-task easily with limited supervision. Ways to stand out from the crowd: Experience in solving problems in large-scale HPC network environments with overlay technologies (BGP, OSPF, VXLAN, EVPN), RoCE and QoS Concepts Experience as a developer and/or support escalation team member for large enterprise/service provider customers at a company that produces AI and data analytics software Scripting in Python, bash, Ansible, yaml, etc Background with developing or debugging AI and data analytics software. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 192,000 USD - 304,750 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 6, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA reinvented itself over two decades, inventing the GPU in 1999 to reshape PC gaming and modern computer graphics. As an engineer in our EDA Workflow Optimization team, you will partner closely with our engineering teams worldwide. You will understand workflows covering the full chip design process from inception through study, architecture, design, verification, emulation, layout, packaging, power-on and production. You will then guide teams to improve, and sometimes re-invent those flows. You will enable our engineers to have the best tools on the planet to make the most innovative chips in the world. You will perform investigations to understand flaws and opportunities, construct metrics to continuously measure performance of our flows and services, and other infrastructure. You will work with your team of EDA and software experts to build new infrastructure in an agile, production software environment. You will continuously innovate and enhance scalable, reliable, high performance systems and tools to enable the next generation of chips! What you'll be doing: Work in a diverse team performing fast paced investigations to empower our engineers to develop at the speed of light. Participate in the full life-cycle of tool development, test, and deployment. Work closely with other team members and chip engineers to understand and optimize how workflows use the compute and storage environments. Build metrics that are reliable and easy to use by hundreds of engineers around the world. Continuously improve our chip development process. Directly contribute to the overall quality and time to market for our next generation chips. What we need to see: Strong experience investigating and debugging complex, multi-discipline problems in a UNIX engineering environment. Hands-on experience with architectural decisions in technologies (storage, networking, compute) our chip engineers depend on. Experience with ASIC, VLSI, CAD/EDA or mixed signal design workflow environments. Hands-on experience with EDA tools. Experienced in UNIX Systems programming and automation using Python and/or Shell. Authoritative level usage of UNIX and UNIX utilities. Excellent planning and communication skills. Experience in applying data analysis principles and influencing data-driven decisions. Flexibility/adaptability working in a dynamic environment with changing requirements. BS in Computer Science or equivalent experience; MS (preferred). 5+yrs of relevant experience. Ways to stand out from the crowd: Experience with job schedulers (in particular IBM Spectrum LSF and/or SLURM). Hands-on experience running GPU-based workloads in a batch computing environment and a deep understanding of distributed system principles. Strong programming and debugging skills with C/C++, Python, and Perl on UNIX. A passion for improving engineering productivity and efficiency via data-driven philosophy. #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 6, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are seeking Lead Post-Silicon Validation Engineer within the GPU Engineering Team to help drive development of future GPUs be used in 3D graphics, deep learning, HPC and automotive markets. Make the choice to join our dynamic team today! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life's work, to amplify human imagination and intelligence! What you'll be doing: * In this role, you will manage and help lead post-silicon bringup, characterization, and productization of the memory system for NVIDIA's GPU products. * Develop, qualify, and work on compliance of memory system software and firmware. * You will be the primary contact for customers internal and external, and DRAM vendors for silicon issues relating to memory. * Contribute through the GPU development cycle from concept, Plan of Record, Architecture, Micro-architecture, design, validation, physical design and tape out. What we need to see: * Bachelors or Masters in Electrical Engineering, Computer Engineering or related fields (or equivalent experience) * 12+ years of proven experience with three years and working with memory systems in the lab. * Direct experience in taking an SOC/GPU from concept level to production. * Experience in DRAM, high speed DRAM Interfaces like HBM, GDDR and LPDDR and their timing, analog, and digital requirements. * In Pre-Silicon phase, work with the design and verification teams to define features required for smooth bringup and productization. * In Post-Silicon phase, bring the GPU from initial power-on through production. * Ability to understand the Top N issues in a myriad of data. * Ability to facilitate and make decisions looking at all the spokes in a decision wheel. * Excellent written, verbal and technical communications. Ways to stand out from the crowd: * Experience in working with DRAM vendors to debug post-silicon issues and drive solutions. * Proven record of implementing processes and methodologies. * System C or C++ development skills, or relevant programming experience. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 5, and 232,000 USD - 368,000 USD for Level 6. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 16, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are presently seeking an exceptionally skilled and top-tier Technical Professional to become a valuable addition to our OEM team. In this role, you will be essential in managing and leading the OEM technical field teams to drive execution of new products for OEM partners. You will collaborate with cross-functional teams, hardware, software engineering, OEM program management, and sales. You will plan, prioritize, and advise OEM technical teams on NPI and end-to-end solutions. What you'll be doing: Coordinate Technical Engagements: Oversee and prioritize the workflow of OEM teams supporting NVIDIA product integration, ensuring alignment with sales strategy and design win objectives. Lead NPI activities: Plan and coordinate efforts, guide teams to integrate NVIDIA technologies into platforms with OEMs. Orchestrate End-to-End Solution Development: Lead the prioritization and sequencing of workstreams that deliver complete hardware and software solutions, ensuring cross-functional alignment and timely execution. Address OEM Partner Concerns and Provide Support: Resolve intricate customer issues, handle partner concerns, and uphold strong technical relationships to ensure satisfaction and swift problem-solving. Coordinate Large-Scale Deployments: Lead technical execution for major customer deployments, coordinating internal and external resources to ensure successful implementation. Recruit and Build Talent: Participate in the recruitment process, lead interview panels, and prepare hiring justifications for new team members. Influence Strategy and Policy: Provide input to business units, recommend procedural improvements, and contribute to OEM account strategy and roadmap planning. What we need to see: Bachelor's or Master's degree (or equivalent experience) in Computer Science, Electrical Engineering, or MBA with focus on IT management. 8+ years of experience with OEM, ODM, datacenter operations, deployments and management with 2+ years of leadership experience Proven Coordination Skills: Demonstrated ability to manage and prioritize workflows across technical engagements, NPI efforts, and E2E solution development OEM Experience: Familiarity with OEM integration cycles including product qualification and launch processes Technical Breadth: High-level understanding of NVIDIA's solution suite, including GPU, networking (NICs, DPUs, switches), and software stacks relevant to data center and OEM deployments Cross-Functional Leadership: Experience guiding cross-functional teams (engineering, sales, product) through complex deployments and customer engagements Ability to represent NVIDIA in Tier-1 OEM account reviews, handle customer issues and concerns, and build trusted technical relationships with collaborators Project Management Expertise: Skilled in setting goals, tracking progress, reporting, and ensuring timely execution across multiple concurrent initiatives Strategic Influence: Capable of shaping OEM engagement strategy, contributing to roadmap planning, and syncing with sales to drive deeper adoption of NVIDIA solutions Recruiting Competence: Knowledgeable about NVIDIA's hiring process and capable of leading interview panels, evaluating technical talent, and crafting executive-level hiring justifications Ways to stand out from the crowd: Expertly aligns technical and business teams in NPI, solution development, and OEM engagement. Develops a future-focused view of NVIDIA tech within OEM platforms, translating it into actionable plans. Contributes to broader initiatives like OEM strategy, mentoring, and process improvement. NVIDIA is widely considered to be one of the technology world's most desirable employers! We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 17, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for an experienced Embedded Field Applications Engineer! NVIDIA's deep learning platforms have a major impact to the industry and are referred to as best-in-class for industrial use cases. We are growing the team with passionate and creative people to help our customers in their endeavor for innovation. This Field Applications Engineering role is for an individual who is a proven specialist in embedded systems, embedded software and embedded application development, and who has shown leadership in supporting customers. We are looking for an outstanding FAE with a focus on embedded systems and AI. Your primary responsibilities will be to partner with sales and support the customer technical engagement for NVIDIA's Jetson platform. You will emphasize on your technical expertise to provide support for our embedded GPU AI products. Excellent communication and interpersonal skills and the ability to work independently are key success factors. What you'll be doing: Engage customers and develop a keen understanding of their system architectures, challenges, objectives, and technical needs - and help to define highly valued solutions that meet these needs Be the trusted advisor for our customers, help them with our Jetson SDK and edge AI inference supporting our sales partners and customers Work closely with the NVIDIA applications and engineering team to ensure customers are successful in developing their embedded systems, answer their questions directly, via email, and on the NVIDIA developer forum Provide technical and sales training to ecosystem and channel partners Establish trusted relationships and communication channels with internal teams What we need to see: BS or MS in Electrical Engineering or Computer Science or equivalent experience 8+ years of work-related experience in a high-tech electronics industry in an embedded design role or technical customer support role Linux, embedded SW and embedded application expertise C, C++, and Python coding Capable of working in a rapidly changing environment without losing focus Strong analytical and problem-solving skills Strong written and oral communications skills in English with the ability to effectively collaborate with management and engineering Ways to stand out from the crowd: NVIDIA GPU development experience Experience with gStreamer, ROS and/or OpenCV Deep Learning and/or AI experience Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. NVIDIA GH200 superchip provides performance and productivity required for strong scaling for HPC and generative AI workload. Scale out is inherent to design of this massive superchip. We are looking for expert engineers to come and help design rack level solutions for next generation scaling AI supercomputing platforms. We are looking for a strong technical architect to own end to end manageability architecture for these products in data centers. You will work with various component leads internally and externally, drive customer use cases, align architecture with customer requirements and release best products to market. Join us at the forefront of technological advancement. What you'll be doing: Drive server management for large clusters and data centers deploying GPUs and Grace solution from Nvidia. Work with data center architects and cloud customers to narrow down on requirements for implementation to ensure speed of light product development. Work with internal teams to make sure requirements are designed and implemented in right way with each firmware and software module Collaborate with other leads to design & build data center health management workflow. Drive reliability and optimization in firmware architecture from a data center view point. Work closely with cluster bring up team and resolve issues at Speed of Light Own firmware delivered to data centers in terms of quality, reliability and telemetry performance. What we need to see: 15+ years of relevant experience working on server firmware (BMC) and platform software development BS, MS, or PhD in EE/CS or related field of education or equivalent experience Hands on experience with data center health management workflow. Proven record of delivering server firmware for large data centers.. Strong knowledge of data center management, server architecture and server manageability in data centers and strong and demonstrable skill in C/C++ and Python Experience programming and debugging skills for server platforms. Experience in SCM (e.g. Git, Perforce) and project management tools like Jira. You should possess excellent written and oral communication skills, good work ethics, high sense of team-work, love to produce quality work and commitment to finish your tasks every single day. You are a self-starter who loves to find creative solutions to complicated problems and hands on with coding. Ways to stand out from the crowd: Hands on experience with data center health management Hands on with x86 or ARM system architecture. Proven technical leaders to drive large complex problem with 50+ engineers working NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 425,500 USD for Level 6, and 308,000 USD - 471,500 USD for Level 7. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 14, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.