5 new grad engineer jobs at 4 companies in Washington
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Software Engineer - New Grad
New York City or Seattle or Los Angeles or Mountain View or San Francisco
$120k-$140k/yr OnsiteFull Time
Graduating Winter 2026 or Spring/Summer 2027 with a 3.7 GPA; backend programming, databases, cloud platforms, APIs, microservices, debugging, and problem-solving skills.
Java, Go, PostgreSQL, MongoDB, Redis, AWS, Google Cloud, Microsoft Azure, RESTful APIs, Docker, Kubernetes, CI/CD
2mo
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Machine Learning Engineer, New Grad
Mountain View or Bellevue or San Francisco
$210k-$316k/yr OnsiteFull Time
Experience building and operating ML infrastructure and model serving systems; proficiency in Golang or Python; Kubernetes experience; familiarity with ML serving frameworks and distributed systems; strong collaboration and communication.
Golang, Python, Kubernetes, Ray Serve, Triton, TorchServe, Terraform, Prometheus, Grafana, OpenTelemetry
2mo
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Member of Technical Staff — Model Optimization and Inference (New Grad)
Seattle, Washington, United States
$200k-$300k/yr OnsiteFull Time
BS/MS/PhD in CS, ML, or related; strong ML systems or LLM inference fundamentals; experience with vLLM/SGLang/TensorRT-LLM; strong Python and PyTorch; familiarity with CUDA or Triton; profiling and quantization experience.
vLLM, SGLang, TensorRT-LLM, Python, PyTorch, CUDA, Triton
1mo
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Research Scientist, Robotics Research - PhD New College Grad 2026
Seattle, Washington, United States
$168k-$265k/yr OnsiteFull Time
Completing a PhD in robotics, machine learning, computer science, electrical or mechanical engineering, or related field; strong research record, Python, deep learning, robotics and simulation framework proficiency required.
Python, PyTorch, JAX, ROS, ROS2, Isaac Sim, Isaac Lab, MuJoCo, C++, CUDA, Warp, Isaac Manipulator, Cosmos, GR00T-N, Newton
2mo
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Member of Technical Staff — RL Research (New PhD Grad)
Seattle, Washington, United States
$250k-$350k/yr OnsiteFull Time
PhD completed or near completion in ML/RL or related field; deep knowledge of RL/post-training methods; experience or exposure to RL pipelines and rollout/serving systems; strong software engineering and systems-building ability.
verl, ms-swift, OpenRLHF, vLLM