Jobs at NVIDIA

7,225 open positions

NVIDIA, founded in 1993, has become a leader in graphics processing units (GPUs) and AI compute platforms, powering everything from gaming rigs to autonomous vehicle systems.

The company hires across software engineering, hardware design, AI research, data science, product management, sales, and support roles. Candidates can expect rigorous technical interviews, a culture of innovation, and opportunities to work on cutting‑edge projects that influence global technology trends.

By viewing NVIDIA's listings on Job Transparency, you gain access to verified salary ranges, employee sentiment scores, and real‑world benefit comparisons, giving you a clear edge when negotiating offers and choosing roles that match your career goals.

Senior Mixed Signal Tools Software Engineer

Company: NVIDIA

Location: Yokneam, Israel

Posted Oct 04, 2024

NVIDIA, a leader in High-Performance Computing & Networking, AI, and Visualization, seeks a skilled engineer for their Post Silicon SW Tool & Automation team. The role involves developing software tools and infrastructure for NVIDIA products, designing GUIs, and working closely with hardware and software teams. The ideal candidate will have a degree in Computer or Electrical Engineering, 5+ years of experience, proficiency in Python, OOP, and GUI development, and knowledge of hardware, particularly SerDes and Optics. Experience in controlling complex SerDes systems and understanding mixed-signal designs is a plus. NVIDIA values diversity and is an equal-opportunity employer.

Senior Software Engineer, Deep Learning Inference Workflows

Company: NVIDIA

Location: Santa Clara, CA

Posted Oct 03, 2024

NVIDIA is seeking a Senior Software Engineer with deep learning expertise to develop components of TensorRT, NVIDIA's SDK for high-performance deep learning inference. The ideal candidate will have a strong background in C++11/C++14/C++17, Machine Learning concepts, and Python. Experience with GPU kernel programming, compiler development, and ML frameworks like PyTorch, TensorFlow, or ONNX Runtime is a plus. The role involves collaboration with deep learning experts, GPU architects, and DevOps engineers. NVIDIA offers a competitive salary range of 180,000 USD - 339,250 USD, equity, and benefits. The company is committed to fostering a diverse work environment.

Senior Deep Learning Software Engineer - Developer Tools

Company: NVIDIA

Location: Other US Location

Posted Oct 04, 2024

NVIDIA is looking for a software engineer to join their Developer Tools organization. The job requires expertise in deep learning, computer vision, and large language models. The company offers a competitive salary range, equity, and benefits.

CUDA Compute Systems Software Engineer

Company: NVIDIA

Location: Santa Clara, CA

Posted Oct 03, 2024

NVIDIA is seeking skilled software engineers to join the System Software for CUDA Compute driver team. The team is responsible for developing and supporting NVIDIA's kernel level drivers for CUDA, particularly for AI, Cloud, and Data Center product lines. This includes full system products like the DGX platform and stand-alone GPU boards. The role involves designing kernel drivers, embedded software, and developing SW technologies for Linux and Windows operating systems. Strong C/C++ skills, low-level OS knowledge, and excellent communication skills are required. The base salary range is $120,000 - $189,750, with opportunities for equity and benefits.

Formal Verification Engineer

Company: NVIDIA

Location: Tel Aviv, Israel

Posted Oct 04, 2024

NVIDIA is seeking a Formal Verification Engineer to join their Pre-Silicon design and verification team. The role involves using formal verification algorithms to prove the correctness of complex logic problems, working on ambitious designs, and developing new formal verification methodologies. The ideal candidate should have a BSc in Electrical/Computer Engineering or MSc in Mathematics, 1+ years of relevant experience, and strong analytical, logical reasoning, problem-solving, debugging, and communication skills.

Account Leader, Automotive

Company: NVIDIA

Location: Munich, Germany / Remote

Posted Oct 04, 2024

NVIDIA is a leading company in the field of artificial intelligence and parallel computing, with a significant impact on the automotive industry. The company is seeking an Account Leader for a strategic account in Munich, Germany, to deepen relationships and expand business opportunities. The ideal candidate should have a relevant degree, extensive experience in the automotive industry, and strong sales and business development skills. NVIDIA is known for its competitive salaries, comprehensive benefits, and diverse work environment.

SRAM Timing Engineer

Company: NVIDIA

Location: Santa Clara, CA

Posted Oct 04, 2024

NVIDIA is seeking a SRAM Timing Engineer to join their team of dedicated engineers developing custom SRAM circuits for AI chips. The ideal candidate should have a MS in Computer Science/Engineering, Electrical Engineering or equivalent experience, with a minimum of 6+ years of circuit design and/or timing closure experience. Expertise in Static Timing Analysis and prior working experience with STA tools like NanoTime/PrimeTime is required. Good programming skills in multiple languages are also necessary. NVIDIA offers a competitive base salary range of 164,000 USD - 304,750 USD, along with equity and benefits. The company is committed to fostering a diverse work environment.

Senior Deep Learning Software Engineer, Inference

Company: NVIDIA

Location: South Bay

Posted Oct 03, 2024

NVIDIA is seeking a Senior Deep Learning Software Engineer to join their team, focusing on analyzing and improving performance of DL inference. The company is rapidly growing its research and development for Deep Learning Inference and is seeking excellent Software Engineers at all levels of expertise. The job involves performance optimization analysis and tuning of DL models, contributing features and code to NVIDIA's inference benchmarking frameworks, and working with cross-collaborative teams to develop innovative solutions.

Senior GPU Supercomputer Scheduler Engineer

Company: NVIDIA

Location: Austin, TX

Posted Oct 04, 2024

NVIDIA is seeking a technology leader to design and implement groundbreaking GPU compute clusters for demanding deep learning, high performance computing, and computationally intensive workloads. The role involves enhancing HPC batch schedulers, working with vendors, providing support to staff and end users, and developing large scale automation solutions. The ideal candidate should have a strong understanding of HPC batch schedulers, experience in C/C++ and advanced scripting, deep knowledge of networking protocols, and experience in container technologies. NVIDIA offers a competitive salary range of 148,000 USD - 276,000 USD, equity, and benefits.

Senior Mask Layout Engineer

Company: NVIDIA

Location: Taipei, Taiwan

Posted Oct 04, 2024

NVIDIA is seeking a Senior Mask Layout Design Engineer with at least 5 years of relevant experience in submicron CMOS technologies. The ideal candidate should have expertise in Cadence custom circuit design tools, particularly Virtuoso, and proficiency in scripting languages like Perl, Python, etc. The role involves performing physical layout for mixed-signal functions, working with ASIC and mixed-signal engineers, and customizing designs for integration in VLSI products. The company values diversity and equal opportunity, and the position requires strong teamwork and communication skills.

Senior Data Center Test Automation Engineer

Company: NVIDIA

Location: Santa Clara, CA

Posted Oct 03, 2024

NVIDIA is seeking a Data Center Software Development Engineer with expertise in automation, test and framework development, managing builds, driving integration, and supporting validation. The role involves developing software for AI data center platforms, managing software build and release processes, analyzing and resolving firmware and software issues, managing lab environments, collaborating with cross-functional teams, and demonstrating strong problem-solving skills. The ideal candidate should have a degree in Math, Computer Science, or Engineering, 5+ years of software development experience, proficiency in Python, C++, and associated build infrastructures, deep knowledge of server systems, experience with out-of-band management protocols, and expertise in version control systems, CI/CD frameworks, and software packaging. NVIDIA is a highly desirable employer in the tech world, known for groundbreaking developments in AI, HPC, and visualization.

Senior Systems Software Engineer, Containers and Kubernetes

Company: NVIDIA

Location: South Bay

Posted Oct 03, 2024

NVIDIA is looking for software and systems engineers to develop and operate enterprise GPU infrastructure management systems. The role involves working with the broader NVIDIA team to design and build infrastructure management systems, Kubernetes operators, and end-to-end HPC integration solutions.

Frequently Asked Questions

What is it like to work at NVIDIA?
Employees report a collaborative environment that values experimentation, with many teams working cross‑functionally on GPU architecture, AI frameworks, and cloud services. NVIDIA offers competitive compensation, stock options, extensive learning resources, and a flexible work‑from‑home policy for eligible roles. The company also emphasizes diversity and inclusion through employee resource groups and community outreach programs.
What types of positions are available at NVIDIA?
NVIDIA employs a wide spectrum of roles: software engineers (e.g., driver development, AI model deployment), hardware engineers (chip design, testing), AI researchers (deep learning, reinforcement learning), data scientists (performance analytics, recommendation systems), product managers (GPU product lines, cloud offerings), sales and marketing specialists, and support staff for technical services and customer success.
How can I stand out as an NVIDIA applicant?
Demonstrate domain expertise in graphics, AI, or systems engineering and provide concrete examples of projects that solved real‑world problems. Showcase a strong portfolio or open‑source contributions, prepare for both coding and system‑design interviews, and articulate how your curiosity aligns with NVIDIA’s mission to advance computing and AI. Highlight soft skills like teamwork, communication, and a willingness to learn across disciplines.

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