Top Tech Jobs & Startup Jobs in Seattle, WA

Design and implement functional safety systems for robotic products ensuring compliance with ISO 13849 and ISO 3691-4. Implement redundant safety-rated PLCs and collision-avoidance logic. Perform rigorous FMEA on hardware and software and support systems engineering and testing.

Optimize and compress large language and vision models for on-device inference. Build model distillation and hardware-specific compilation pipelines, and benchmark performance across various NPU/GPU architectures to enable efficient edge deployment.

Design and implement advanced control algorithms for bipedal locomotion and manipulation. Train RL policies in simulation and deploy on hardware, perform sim-to-real transfer, and analyze gait and kinematics telemetry to improve performance.

Design and architect multi-agent orchestration frameworks, build robust tool-calling pipelines and reasoning loops, and optimize latency and token usage for real-time agentic workflows. Apply expertise in multi-agent frameworks and agentic RAG to enable autonomous tool invocation and scalable workflow automation.

Design and orchestrate large-scale LLM pre-training across 1,000+ GPUs using PyTorch, DeepSpeed, or Megatron-LM. Optimize InfiniBand/RDMA networking and memory to avoid OOM, automate checkpointing and failure recovery for month-long runs, and manage SLURM or Kubernetes GPU clusters. Implement systems-level improvements using C++, CUDA, and Python.

Conduct research developing foundation models for robotics, align text-based reasoning with low-level control policies, design experiments evaluating zero-shot generalization, integrate models into robotic applications with interdisciplinary teams, and present findings at conferences.

Lead product strategy and roadmap to convert advanced AI and robotics research (e.g., VLA models, agentic RAG) into customer solutions. Define safety, usability, and performance metrics, engage early enterprise adopters for feedback, and coordinate cross-functional teams to deliver hardware and deep-tech software products.

Design and implement high-fidelity spatial mapping and real-time object recognition pipelines; integrate vision outputs with robotic manipulation and navigation systems; and train and fine-tune Vision-Language-Action models to improve robotic autonomy and perception.

Design and integrate vision and audio models into agent reasoning loops, optimize low-latency voice-to-voice streaming, and architect multimodal RAG systems for retrieving insights from videos and PDFs.

Perform adversarial testing on language models and multimodal agents, implement guardrails and real-time filters for autonomous tools, and develop constitutional AI principles and RLHF alignment pipelines to ensure safe AI deployment.