Senior Systems Engineer, Compute Platform - Autonomous Vehicles

Posted 2 Days Ago
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Remote
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Senior Systems Engineer will enhance and scale a cloud compute platform for Autonomous Vehicles, design scalable services, support multiple teams, and ensure effective operations and user support, all while leveraging state-of-the-art technologies and collaboration skills.
Summary Generated by Built In

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

#deeplearning

Top Skills

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The Company
Bristol
21,960 Employees
On-site Workplace
Year Founded: 1993

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.”

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