Job Description
A Software Engineer at Nuro will develop and maintain the core ML infrastructure platform, focusing on resource provisioning, workload orchestration, and data processing to support autonomous vehicle model development and deployment.
Key Responsibilities
- Build and evolve the core platform for seamless access to compute and data resources.
- Execute the technical strategy for automated resource provisioning and high-performance workload scheduling.
- Design and optimize data pipelines for extracting and transforming petabyte-scale sensor and telemetry data.
- Implement robust feature caching and storage solutions to enable low-latency access to features.
- Contribute to a unified ML platform that abstracts complex cloud infrastructure for users.
Requirements
- Three years of professional experience in ML Infrastructure, Backend Platform Engineering, or Distributed Systems.
- Deep familiarity with modern Infrastructure-as-Code and provisioning tools such as Terraform, Pulumi, or Crossplane.
- Hands-on experience building or managing large-scale orchestrators for compute-heavy workloads, e.g., Kubernetes, KubeRay, Ray, Slurm, or Volcano.
- Proficiency in at least one distributed processing framework, such as Apache Spark or Apache Beam, for large-scale data extraction and transformation.
- Experience implementing or maintaining feature stores and caching layers, e.g., Feast, Hopsworks, or Redis-based custom caching.
- A strong understanding of distributed systems, networking, and storage bottlenecks in the context of high-performance computing.
Benefits & Perks
Compensation/salary range between $160,360 and $240,540 depending on experience and qualifications
Annual performance bonus
Equity
Competitive benefits package
Ready to Apply?
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