We are looking for Senior Engineers to work on scaling our cloud compute platform for Autonomous Vehicles (AV). Our platform provides access to 100s of PBs of data and exa-scale GPU+CPU compute for various AV workloads including data ingestion, processing and model training. We are embarking on building the next generation of the platform and looking for strong engineers to join us in this journey.
What you'll be doing:
-
Enhance and scale our compute platform to support diverse workloads on GPUs and CPUs
-
Design and build scalable and distributed services to power large scale workloads
-
Design and build scalable tools to efficiently operate services and hardware clusters
-
Collaborate with multiple teams to understand their needs, and build functionality that improves their user experience and productivity
-
Participate in operations, oncall and user support
What we need to see:
-
BS/MS/Phd in Computer Science, Engineering or other technical fields or equivalent experience
-
6+ years of experience developing and operating backend systems at scale
-
Proficiency in Golang and distributed systems
-
Deep care for user experience
-
Strong collaboration and communication skills
-
You are extremely motivated, highly passionate, curious about and follow state-of-the-art technologies
-
Strong willingness to learn, listen to diverse opinions, and contribute to an inclusive and growth-oriented culture
Ways to stand out from the crowd:
-
Prior background in building AI Infrastructure for Autonomous Vehicles
-
Familiarity with HPC and workload managers (e.g. SLURM)
-
Experience with Workflow orchestration systems (e.g Flyte, Kubeflow pipelines, Airflow)
-
Experience managing and deploying services on the cloud (e.g. AWS, GCP)
-
Open source contributions
The base salary range is 180,000 USD - 339,250 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.
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.
#deeplearning
Top Skills
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.”
.png)
