NVIDIA has continuously reinvented itself over two decades. Our 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 AI — the next era of computing! NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to pursue, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today.
The NVIDIA Clocks group is looking for a dedicated and motivated Software developer with particular interest in algorithms and RTL Design. Understanding both Software and Hardware principles will be a key requirement for this role.
What you'll be doing:
Architect, design, develop and support tools for RTL generation across all NVIDIA products
Architect automated workflows for supporting deliverables to multiple cross functional teams
Improve algorithms (in C++) for automated connectivity, auto logic insertion and post processing Verilog RTL
Improve quality of existing tools and flows used by the team
What we need to see:
BS or MS (preferred) degree or equivalent experience in CE or EE
At least 3+ years of work experience
Strong coding skills in C++
Good understanding of ASIC Design and understanding of Verilog RTL
Strong interpersonal and collaboration skills.
Ways to stand out from the crowd:
Prior experience in RTL design (Verilog), verification and synthesis.
Proficiency in C++, Perl, Python, Make scripting.
Knowledge of Clocks/Resets design and verification
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant people in the world working for us and, due to unprecedented growth, our teams are rapidly growing. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.
#LI-Hybrid
The base salary range is 136,000 USD - 264,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Drive strategic partnerships and developer engagement for NVIDIA's CAE Cloud Services as a Developer Relations Manager.
Innovate with NVIDIA's Quantum Computing team as a Software Engineer specializing in CUDA-Q and GPU programming within a remote work environment.
Lead and develop scalable machine learning infrastructure systems at Google to support global AI and cloud services.
Join Coast’s New York team as a Full-Stack Engineer to build innovative payment solutions for the commercial vehicle industry in a fast-growing, venture-backed fintech startup.
Lead Zoox's Robot Link Platform team managing backend services that enable autonomous vehicle communication and fleet operations.
WorkWave is seeking a skilled Senior Software Engineer to design and develop scalable cloud-based solutions as part of a creative and collaborative remote-first team.
Lead a dynamic mobile engineering team at Tripadvisor, shaping the future of travel apps with impactful leadership and technical excellence.
Senior Software Engineer sought by NBCUniversal to develop and optimize Smart TV front-end applications for millions of users.
Lead software development initiatives at JPMorgan Chase to build secure and scalable financial technology products with an agile team.
TWG Global is looking for a Senior Full-Stack Engineer with strong React skills to build and lead development of scalable AI-driven business applications.
Senior Backend Engineer at EarnIn, focusing on Kotlin service development and scalable product features in a fully remote environment.
Drive innovation and reliability as a Staff Software Engineer leading backend infrastructure at Asana’s San Francisco office with hybrid work flexibility.
Drive innovation by building and deploying cutting-edge AI solutions as a Software Engineer on Cohere's Applied ML team in San Francisco.
Lead NVIDIA’s Data Platform engineering team to build scalable data infrastructure supporting GPU AI and HPC workloads.
Lead cloud platform engineering initiatives for AI/ML at JPMorgan Chase to build scalable, secure, and innovative infrastructure solutions.
NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.
130 jobs