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Dyna Robotics

60 Dyna Robotics Engineers Jobs Hiring Near You

Dyna Robotics

Fleet Reliability Engineer

Redwood City, CA

$125K - $157K/yr

A track record of building tools and SOPs that other engineers actually adopt. At Dyna Robotics, we build technology for the real world, which requires a team as diverse as the environments our ...

Dyna Robotics

AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

Dyna Robotics is a company focused on creating general-purpose robots powered by advanced AI ... engineering. • A deep understanding of how deployment failures, edge cases, and real-world ...

Dyna Robotics

Deployment Engineer

Redwood City, CA · On-site

Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model ... Close the loop with engineering. File clear, reproducible reports back to hardware/software ...

Dyna Robotics

AI Data Strategist

Redwood City, CA

$148K - $192K/yr

Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model ... and engineering. * Edge-Case Proficiency: A deep understanding of how deployment failures, edge ...

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Dyna Robotics Jobs Information

Infographic showing various Engineers job openings at Dyna Robotics in the United States as of August 2026, with employment types broken down into 3% Internship, 78% Full Time, 3% Temporary, and 16% Contract. Highlights an 97% Physical, and 3% Remote job distribution.

ML Infrastructure Engineer, Training

Dyna Robotics

Redwood City, CA

$131K - $172K/yr

Full-time

Re-posted 2 days ago

Job description

Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model with top-in-industry generalization and real-world performance. Already deployed with customers across multiple industries, our robots do commercial-grade work in the physical world. Our team comes from Google DeepMind, Meta, and Cruise, and we're backed by CRV, First Round, and other leading investors.

The Role

As a ML Training Infrastructure Engineer, you will architect and build the systems that turn our multi-cloud GPU fleet into a training engine our researchers love. Your charter is singular and broad: own training infrastructure end-to-end so that every GPU is busy, every run is reproducible, and every researcher's next experiment is one command away.

What You'll Do

  • Scale Distributed Training: Architect and own the infrastructure for large-scale GPU clusters. You'll implement sharding, activation checkpointing, and memory optimization (ZeRO, FSDP) to enable the training of massive multimodal models.

  • Optimize Researcher Ergonomics: Build a research codebase and job scheduling system (Kubernetes/SLURM) that prioritizes fast iteration, automated retries, and seamless failure recovery.

  • High-Performance Data Handling: Design high-throughput pipelines to ingest and transform terabytes of multimodal robot data (video, proprioception, 3D signals), ensuring dataloaders never starve the GPUs.

  • Production Inference: Build low-latency inference pipelines for real-time robot control. You'll apply quantization, distillation, and model compilation (TensorRT, Triton) to move models from the lab to the physical world.

  • Deep Systems Profiling: Dive into the weeds of GPU utilization, I/O bottlenecks, and memory fragmentation to squeeze every bit of performance out of our expanding compute fleet.

What You'll Bring

  • 7+ Years of Engineering: With a track record of leading technical projects in high-performance computing (HPC) or ML infrastructure.

  • ML Systems Mastery: Deep experience with PyTorch and distributed training frameworks (DeepSpeed, Accelerate). You understand the nuances of mixed precision and gradient accumulation.

  • Infrastructure Expertise: Hands-on experience managing cloud GPU environments (GCP/AWS) and container orchestration (Kubernetes).

  • Low-Level Intuition: A fundamental understanding of distributed systems, including race conditions, memory management, and NCCL/inter-node communication.

  • Ownership Mindset: You don't just "deploy" code; you design, build, and operate systems end-to-end to unblock fast-moving research.

Bonus Points For

  • Experience with Robotics Data Formats (MCAP, Protobuf) or multimodal models (VLAs).

  • Deep ML systems experience: custom kernels (Triton), compilers, or runtime optimization.

  • Experience as a founding or early-stage infrastructure hire.

At Dyna Robotics, we build technology for the real world, which requires a team as diverse as the environments our robots inhabit. We are an equal opportunity employer committed to technical rigor and mutual respect.

Don't let a checklist stop you. Data shows that underrepresented groups often only apply if they meet 100% of the criteria. We value problem-solving and grit over keyword matching. If you're passionate about the intersection of geometry and robotics, we want to hear from you-even if you don't check every box.

Apply