Santa Clara, California, United States · On-site
$184k–$357k/yr
NVIDIA’s accelerated computing platform is foundational to modern HPC and AI. At the center of this platform are CUDA Core Libraries that enable developers to build fast, reliable, and scalable GPU-accelerated software. …
Skills: Python, C++, CUDA, API Design, GPU Programming
San Francisco, California, United States · On-site
$210k–$284k/yr
Do you want to solve the most complex, large-scale data challenges for AWS's most strategic customers? Do you want to shape how organizations build and use data platforms in the era of AI? Come join us. Amazon Web Servic…
Skills: Data architecture, Analytics, Generative AI, Agentic AI, Cloud computing
Santa Clara, California, United States · Hybrid
$195k–$285k/yr
At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible.…
Skills: PCB Manufacturing, DFM, DFA, Supplier Quality, IPC Standards
Santa Clara, California, United States · On-site
$140k–$270k/yr
Are you passionate about automation, AI-assisted development, gaming technology, and improving software quality through thoughtful testing? If so, we have a phenomenal opportunity for you! NVIDIA is seeking a creative, h…
Skills: Python, Test automation, Software quality engineering, AI-assisted development, Debugging
Santa Clara, California, United States · On-site
$140k–$270k/yr
We are seeking a qualified Sr. Software Automation and Tools Development Engineer to join our GPU SWQA team. The successful candidate will demonstrate substantial experience with AI technologies for automation of test ca…
Skills: Python, GPU, AI, Automation, Linux
Santa Clara, California, United States · On-site
$147k–$203k/yr
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: Process engineering, Semiconductor manufacturing, Display manufacturing, Data analysis, Hardware characterization
Santa Clara, California, United States · On-site
$111k–$152k/yr
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: Project management, Process improvement, Resource alignment, Cost performance monitoring, Technical development
Santa Clara, California, United States · On-site
$100k–$130k/yr
LeanData helps the world’s fastest-growing companies automate, simplify, and accelerate revenue. We are looking for a Product Designer who can take complex product requirements and turn them into intuitive, customer-cent…
Skills: Product Design, User Interface Design, User Experience Design, Prototyping, User Research
Santa Clara, California, United States · On-site
$184k–$357k/yr
NVIDIA’s accelerated computing platform is foundational to modern HPC and AI. At the center of this platform are CUDA Core Libraries that enable developers to build fast, reliable, and scalable GPU-accelerated software. …
Skills: Rust, C++, CUDA, GPU Programming, API Design
Santa Clara, California, United States · Hybrid
$225k–$250k/yr
We strongly prefer candidates who are currently located in or near the designated job location. Candidates outside the area should apply only if they are committed to relocating prior to their start date and have the leg…
Skills: Field marketing, Demand generation, Growth marketing, Integrated campaigns, Marketing activation
Santa Clara, California, United States · On-site
$147k–$203k/yr
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: Process engineering, Semiconductor manufacturing, Hardware characterization, Data analysis, Troubleshooting
Santa Clara, California, United States · On-site
$165k–$224k/yr
Are you interested in building AWS AI services that use ML and LLM technologies? AWS Quick is growing, and we need Software Development Engineers who move fast, are capable of breaking down and solving complex problems, …
Skills: Software development, Distributed systems, Machine learning, LLMs, Agents
Santa Clara, California, United States · On-site
$147k–$203k/yr
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: Process engineering, Semiconductor manufacturing, Hardware characterization, Data analysis, Technical documentation
Santa Clara, California, United States · Hybrid
$191k–$251k/yr
Grow with us Ericsson Inc. does not sponsor U.S work authorizations for this job position including U.S. immigration filings for initial and/or change of employer paperwork for H-1's, H-1B1's, E-3's, O-1's, and TN's. Eri…
Skills: Radio Access Network, LTE, 5G, gNodeB, eNodeB
Santa Clara, California, United States · On-site
$65k–$80k/yr
Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitmen…
Skills: Executive support, Calendar management, Travel coordination, Office operations, Communication
Santa Clara, California, United States · On-site
$199k–$298k/yr
Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group > CPU Engineering General Summary: We are seeking an experienced CPU System Architect to join our team. If you possess a deep understandin…
Skills: CPU system architecture, Microarchitecture, SoC architecture, RTL design, Power management
Santa Clara, California, United States · On-site
$248k–$391k/yr
We are seeking a Senior Manager - Compute Core Engineering to lead our Compute Core Engineering team. This opportunity is outstanding as it allows you to contribute to groundbreaking advancements in AI and computing tech…
Skills: Compute Core Engineering, Infrastructure Strategy, Automation, Linux, Go
Santa Clara, California, United States · Hybrid
$248k–$391k/yr
NVIDIA has been reinventing computer graphics, PC gaming, and accelerated computing for 30 years. It is a unique legacy of innovation that’s fueled by great technology and amazing people. Today, we’re tapping into the un…
Skills: Kubernetes, OpenShift, KubeVirt, Infrastructure as Code, Terraform
Santa Clara, California, United States · On-site
Oracle is seeking a Senior Supply Chain Engineer to serve as a Factory Quality Engineer supporting Oracle Cloud Infrastructure (OCI) hardware platforms. This role will support factory quality execution for complex AI inf…
Skills: Supplier component qualification, Quality assurance, Root cause analysis, Technical writing, New product introduction
MAPAL USASanta Clara, California, United States · On-site
Since the early 1990's, SP3 pioneered the development of CVD diamond technologies. SP3 coats for its customers: cutting tools, silicon wafers, electrodes, CMP pad conditioners, consumables used in semiconductor etching e…
Skills: CVD diamond coating, Chemical processing, Electrochemical processing, Mechanical processing, Equipment maintenance
Santa Clara, California, United States • On-site
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Design and implement idiomatic Python APIs and bindings for CUDA core libraries and GPU algorithms. Develop native C/C++ components and manage the full feature lifecycle from design to long-term maintenance.
Requires a degree in Computer Science or related field with 8+ years of software development experience in Python and C/C++. Must have practical experience with GPU programming and building Python interfaces for systems-level software.
NVIDIA’s accelerated computing platform is foundational to modern HPC and AI. At the center of this platform are CUDA Core Libraries that enable developers to build fast, reliable, and scalable GPU-accelerated software.
We are hiring a Senior Software Engineer to advance the Python experience for CUDA Core Libraries. You will build Pythonic APIs, language bindings, algorithms, and runtime infrastructure on top of native C/C++ foundations. You will join the team building the foundational libraries, algorithms, and language/runtime infrastructure that make CUDA a speed-of-light experience for developers and AI coding agents alike.
Design and implement idiomatic Python APIs and bindings for foundational CUDA capabilities and GPU algorithms.
Develop and integrate the native C/C++ components that support Python-facing functionality.
Define reliable and efficient interoperability boundaries between Python, C/C++, Rust, and other languages.
Develop high-performance interfaces that minimize Python and native-language integration overhead.
Own features throughout their lifecycle: design, implementation, testing, profiling, benchmarking, documentation, release, and long-term maintenance.
Improve the Python developer experience through typing, packaging, examples, diagnostics, continuous integration, and compatibility testing.
Collaborate with C/C++, Rust, compiler, and runtime engineers on shared architecture and API decisions.
Work directly with users to investigate correctness, usability, compatibility, and performance issues.
BS, MS, or PhD in Computer Science, Computer Engineering, or a related field, or equivalent experience.
8+ years of relevant software-development experience.
Strong production programming skills in both Python and C/C++; both are required for this role.
Experience building Python interfaces to native or systems-level software.
Understanding of systems software concepts, performance, concurrency, and API design.
Practical experience with parallel, heterogeneous, or GPU programming.
Experience developing production software or widely used libraries, including testing, profiling, benchmarking, packaging, and code review.
Ability to work independently, define project scope, and drive complex work to completion.
Clear written communication skills for API specifications, technical designs, and user documentation.
Comfort working in large codebases spanning Python, C/C++, build systems, packaging, and continuous-integration infrastructure.
Strong understanding of CPU/GPU architecture and performance optimization, with hands-on experience in GPU-accelerated stacks (CUDA C++/Python, PyTorch, JAX, Numba, CuPy, or similar).
Proficiency with modern C++ and GPU libraries such as Thrust, CUB, and libcudacxx.
Experience with compiler infrastructure and tooling, including LLVM, Clang, or MLIR.
Expertise in designing low-overhead interoperability between Python and native languages, including exposure to Rust in mixed-language stacks.
Demonstrated interest in developer tools, library design, and improving developer productivity.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
Offices: 2701 San Tomas Expressway, Santa Clara, CA 95050, US · No. 8, Ji Hu Rd., Taipei City, Taipei City 114, TW · Nanakramguda, Serilingampally Mandal, Plot # 6A&B, IT Park Layout, RR District, Hyderabad, Telangana 500046, IN · No. 127 Andheri Kurla Road, CNB Square, Mumbai, Village Chakala, Andheri East 400 093, IN · Survey No. 144/145, Samrat Ashok Path, Off Airport Road, Pune, Yerwada 411 006, IN
Based on 2734 listings with disclosed salaries, most technology jobs in Santa Clara, CA pay between $116k–$288k per year. Individual offers vary with seniority, company size, and specialization.
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Companies currently hiring include Applied Materials, NVIDIA, ServiceNow, AMD, Qualcomm, among others. Browse the listings above to see every active employer.
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