"distributed training systems" Jobs

1702 open tech roles matching “distributed training systems”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, AWS. Every listing is re-checked daily and closed roles are removed.

Showing 20 of 1702 results

Reflection AI

Build and scale distributed training systems for frontier model pre-training at Reflection AI.

Reflection AI San Francisco, CA Published 6 months ago
Flexible on stack
baseten

Join Baseten as a Software Engineer to architect and develop scalable infrastructure for ML training platforms.

baseten San Francisco Published 1 year ago
Flexible on stack
Periodic Labs

Join Periodic Labs as an ML Systems Engineer to build and optimize large-scale training and reinforcement learning infrastructure.

Periodic Labs Menlo Park, CA $250k–$350k/yr Published 5 months ago
Flexible on stack
Kodiak Robotics

Join Kodiak Robotics as a Senior AI Infrastructure Engineer to optimize model training for autonomous technology.

Kodiak Robotics Mountain View, CA $190k–$260k/yr Published 3 months ago
Flexible on stack
Fireworks AI

Design and optimize infrastructure for large-scale AI model training at a leading generative AI company.

Fireworks AI San Mateo Published 2 months ago
Flexible on stack
baseten

Join Baseten as a senior software engineer to develop cutting-edge AI training products and enhance user workflows.

baseten San Francisco Published 8 months ago
Flexible on stack
Databento

Join Databento as a Systems Engineer to enhance systems automation and support a modern market data platform in a fully remote environment.

Databento Remote / Boston / Salt Lake City / San Francisco / New York Published 10 months ago
Flexible on stack
baseten

Join Baseten as a Forward Deployed Engineer to solve complex AI challenges for leading companies.

baseten San Francisco Published 1 month ago
Flexible on stack
NODA AI

Join NODA AI as a Senior Systems Software Engineer to debug and resolve cross-system issues in unmanned systems technology.

NODA AI Austin Published 2 months ago
Flexible on stack
Clockwork Systems

Design and implement low-level systems software for GPU clusters in a pioneering AI infrastructure company.

Clockwork Systems On Site, Palo Alto, California $150k–$230k/yr Published 8 months ago
Flexible on stack
Databricks

Join Databricks as a Staff Software Engineer to drive the architecture of a managed GPU training platform for large-scale AI models.

Databricks Mountain View, California; San Francisco, California $190k–$265k/yr Published 4 months ago
Fundamental

Join Fundamental as a Senior Applied Research Engineer to tackle technical challenges in AI model development for enterprise decision-making.

Fundamental Barcelona Published 6 months ago
Flexible on stack
Cognition

Join a talented team to build and optimize ML infrastructure for large-scale AI research.

Cognition San Francisco Published 2 months ago
Flexible on stack
Databricks

Join Databricks as a Senior Software Engineer to build and scale a managed GPU training platform for AI models.

Databricks Mountain View, California; San Francisco, California $160k–$225k/yr Published 4 months ago
Flexible on stack 70% coding
Reflection AI

Design and operate large-scale GPU infrastructure for model inference and mid-training workloads at Reflection AI.

Reflection AI San Francisco, CA Published 6 months ago
Flexible on stack
Cursor

Join a small, passionate team to build data systems for training frontier coding models at Cursor.

Cursor San Francisco Published 1 month ago
Reflection AI

Join Reflection AI as a Research Software Engineer to bridge research and production in cutting-edge AI training systems.

Reflection AI New York, NY Published 7 months ago
Flexible on stack
Together AI

Join Together AI as a Research Engineer to optimize large-scale training infrastructure for cutting-edge AI models.

Together AI San Francisco $200k–$290k/yr Published 2 months ago
Flexible on stack
baseten

Join Baseten as a Post-Training Research Engineer to build in-house tooling for efficient and high-quality machine learning models.

baseten San Francisco Published 6 months ago