Nvidia is looking for a Senior Software Engineer to join our Video/Multimedia Architecture & Algorithms (A&A) team — the people who build tomorrow’s NVENC and NVDEC, the dedicated video encode and decode engines that power streaming, cloud gaming, video conferencing and broadcast on every modern NVIDIA GPU. You will lead the infrastructure and operations for this group’s work. This includes setting up compute resources on-premises and in the cloud. You will develop distributed pipelines for large-scale regressions and experiments across hardware simulations and machine learning workloads. You will maintain the CI/CD and development environments. You will also transform one-off research workflows into reliable, repeatable, automated systems.
This is a hybrid role — 4 days per week from the office.
What You'll Be Doing- Work closely with our Architects and Algorithms Engineers to understand the needs and transform one-off research workflows into dependable, consistent, automated systems
- Stand up and operate the compute the group runs on — on-prem GPU clusters, cloud bursts, queues, schedulers (Slurm / Kubernetes), container images, environments
- Develop and build decentralized workflows for extensive regression testing and experiments across HW-simulations and ML workloads — and the dashboards that make sense of the results
- Lead the team’s CI/CD plus the dev environments, container images and tooling everyone in the group lives in every day
- B.Sc. in Computer Science or Electrical/Computer Engineering
- 5+ years in a DevOps, SRE, MLOps, Research-Ops or platform-engineering role
- Strong Linux fundamentals — shell, processes, networking, filesystems, systemd, performance tools
- Strong hands-on experience in Python — confident writing production-quality code, not just scripts
- Hands-on experience with at least one major Cloud ecosystem (OCI, AWS, Azure, GCP) and with Infrastructure as Code (Terraform, Pulumi or similar)
- Containers and orchestration: Docker plus Kubernetes, and/or HPC schedulers like Slurm
- Experience designing and bringing up CI/CD flows at scale (GitLab CI, GitHub Actions, Jenkins or similar) and operating distributed batch pipelines
- Familiarity with video compression / codecs (NVENC, NVDEC, FFmpeg, GStreamer)
- GPU-aware infrastructure experience: CUDA toolkit installs, driver versioning, MIG, NCCL
- Reading-level comfort with C++ — enough to debug a build or trace a benchmark issue into the codec stack
- Observability experience — Prometheus, Grafana, OpenTelemetry, structured logging
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 and autonomous, we want to hear from you!
NVIDIA is committed to fostering a diverse work environment and is 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.
Skills Required
- B.Sc. in Computer Science or Electrical/Computer Engineering
- 5+ years in a DevOps, SRE, MLOps, Research-Ops or platform-engineering role
- Strong Linux fundamentals
- Strong hands-on experience in Python
- Hands-on experience with at least one major Cloud ecosystem (OCI, AWS, Azure, GCP)
- Experience with Infrastructure as Code (Terraform, Pulumi or similar)
- Containers and orchestration: Docker plus Kubernetes
- Experience designing and bringing up CI/CD flows at scale
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
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 AI — 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, NVIDIA is increasingly known as “the AI computing company.”
