Top Tech Jobs & Startup Jobs in Seattle, WA

Builds and manages technology and industry partnerships from sourcing through integration, deployment, and expansion. Evaluates partner capabilities, strategic fit, customer demand, integration complexity, and business value. Coordinates engineering, product, commercial, and customer stakeholders to develop integrated solutions, accelerate deployments, and create new business opportunities. Serves as the primary owner of strategic partnerships, ensuring alignment on objectives, timelines, responsibilities, and outcomes.

The Product Marketing Manager develops positioning, messaging, go-to-market strategies, campaigns, launch plans, and customer-facing content for complex aerospace, defense, and industrial solutions. The role translates technical capabilities into customer value, supports business development, enables internal teams, gathers market and competitive insights, and partners cross-functionally with engineering, commercial, implementation, and customer-facing teams. Travel of up to approximately 25% is expected.

Build and maintain secure Android/Linux device platforms, including AOSP customizations, system services, HALs, kernel integrations, host services, device enrollment, provisioning, attestation, policy enforcement, telemetry, and over-the-air updates. The role also involves hardened images, certificate signing, sandboxing, runtime security, MDM integrations, and compliance with high-assurance frameworks.

Manage daily office operations, facilities coordination, supplies, workspace organization, shipments, visitor registration, workstation setup, onboarding logistics, catered meals, events, and employee experience. Coordinate with building management, IT, People Operations, and vendors to maintain an efficient, welcoming workplace and support visitors, customers, and candidates.

Develop and maintain low-level Android and Linux platform software for rugged, body-worn defense devices. Responsibilities include Linux kernel, BSP, AOSP, HAL, driver, board bring-up, hardware integration, secure boot, power and thermal optimization, system debugging, automated testing, and hardware-in-the-loop validation. Collaborate with hardware, electrical, mechanical, sensor-fusion, and systems engineers to deliver reliable platform software across custom hardware configurations.

The Reliability Engineer defines reliability requirements, characterizes stresses, conducts FMEA, develops accelerated life tests, and owns validation across the product lifecycle. They investigate failures, perform root-cause analysis, apply statistical methods and DOE, create test plans and reports, and partner with hardware, software, manufacturing, and quality teams to improve product reliability and meet industry and government standards.

Research and develop computer vision, sensor fusion, pose estimation, and machine learning solutions for imaging and embedded applications. Build prototypes and end-to-end pipelines in Python and C++, optimize models for real-time edge deployment, and implement MLOps practices for monitoring, versioning, and CI/CD. Evaluate novel algorithms against current research, develop preprocessing and augmentation workflows, and transition validated concepts toward production.

Develop real-time perception software for SLAM and visual-inertial odometry by fusing camera and IMU data. Build structure-from-motion, sensor calibration, synchronization, and 3D reconstruction pipelines; evaluate algorithms on benchmarks and real-world datasets; and integrate perception outputs into autonomy and collaborative mapping systems. Collaborate with hardware, robotics, and platform teams to deliver production-ready systems on embedded and edge devices, including metrics, testing frameworks, optimization, and deployment strategies.

Develop real-time computer vision, tracking, perception, localization, motion estimation, and stability systems for wearable AR devices. Build and optimize C++ and C# applications on Android and embedded Linux edge platforms, integrate OpenXR runtimes, and create Android companion services. Prototype with Python and machine learning frameworks, optimize vision models for edge deployment, develop validation tooling, and collaborate across hardware, firmware, graphics, backend, and product teams.

Own characterization, calibration, and validation of optical sensing and display systems. Design automated experiments, test setups, calibration procedures, and Python-based data analysis pipelines. Analyze sensor datasets to identify failure modes and performance trends, document test results, support new hardware bring-up, and collaborate with optical, electrical, firmware, and systems teams to improve hardware performance and reliability. The role also supports transferring calibration processes into manufacturing and NPI environments.