Top Tech Jobs & Startup Jobs in Seattle, WA

Engineer mechanical demand flexibility for data center cooling: model thermal inertia and headroom per site, design setpoint/staging/storage strategies, validate models via instrumented field tests, quantify operating risk in degrees/minutes/margins, and collaborate with controls engineers.

Lead deployment projects for robotics across factories and data center sites: coordinate vendors and integrators from survey to steady-state, own the deployment playbook (safety, commissioning, training, support), and track post-launch performance to drive fixes or decommission underperforming cells.

Design, build, and own ML/LLM systems for operations: forecasting, schedule risk detection, document extraction, and agentic systems. Handle end-to-end model lifecycle, deploy and evaluate in production, and integrate predictions into operational tools.

Design and own production tooling and fixtures (weld fixtures, assembly jigs, lifting/handling tools) from concept through validation. Manage tooling lifecycle including maintenance, calibration, revisions, and register. Ensure fixtures meet tolerance via stack-ups and capability studies, design for fast, mistake-proof, and safe operator use.

Design and engineer mechanical cooling systems for modular data center units, performing hydraulic and heat-transfer calculations, sizing equipment, developing vendor packages (CDUs, pumps, dry coolers), supporting prototypes and initial builds, and validating designs against test/commissioning data.

Build software for data-center robotics including task planning, fleet coordination, perception, navigation stacks, and integration with company systems. Ship autonomy glue combining perception, navigation, and task logic. Own operational tooling for monitoring, teleoperation fallback, and diagnostics. Integrate robotics mission and exception data into platform. Require production robotics experience, ROS or equivalent middleware, remote-failure engineering, enterprise integration, and hardware-software debugging.

Lead employee relations across the company: run investigations end-to-end with legally defensible documentation, resolve conflicts, coach managers on performance and conduct, identify patterns behind repeat issues and implement fixes, and help scale people operations and internal communications as the company grows.

Lead cross-site deployment programs from construction handover to customer-ready compute: manage schedules, dependencies, resources, risks, escalations, program reporting, and lead the TPM team to drive repeatable, software-enabled data center bring-up.

Partner with data center operations leaders to design org structures, manage shift workforce scheduling and fatigue, handle employee relations investigations and resolutions, build onsite shift-based people programs, and support retention and safety-adjacent HR work across distributed sites.

Own reliability for named customer workloads; debug distributed systems across hardware, fabric, and scheduler; run customer-facing incident communications; convert recurring customer pain into engineering fixes; support large-scale compute customers and push internal teams to resolve root causes.