Top Tech Jobs & Startup Jobs in Seattle, WA

Define and evolve Aurora’s autonomous-vehicle runtime framework across on-vehicle and cloud execution. Design high-performance, low-latency IPC and RPC, manage configuration and process lifecycles, improve deterministic simulation and log replay, and build fault monitoring and recovery capabilities. The role also involves creating intuitive C++ APIs, supporting field testing, mentoring engineers, setting coding standards, and driving the framework roadmap.

Lead system security engineering for autonomous vehicle platforms, defining security requirements, interfaces, threat models, risk analyses, trade studies, and verification plans. Integrate hardware security, secure boot, cryptography, key management, and secure communications across vehicle compute, sensors, networks, and cloud telemetry. Partner with hardware, embedded software, safety, validation, suppliers, and Tier-1 organizations to align cybersecurity with functional safety and regulatory requirements.

Own end-to-end executive searches for Director-level and above roles, advising executives on organization design, role scope, market intelligence, compensation, and hiring strategy. Partner with People, Finance, and Talent Acquisition leaders on succession planning and workforce planning. Structure executive offers, lead confidential searches, mentor recruiters and sourcers, and improve recruiting practices through training and shared market insights.

Design and own geometric map-generation algorithms that process large-scale lidar datasets into automated 3D maps for autonomous vehicles. Responsibilities include sensor optimization, pose-graph optimization, multimodal alignment, pipeline scalability, failure-mode analysis, algorithmic debugging, data-quality improvement, and integration with neighboring teams. The role requires strong C++ development, 3D geometry, point-cloud processing, linear algebra, numerical optimization, and probability expertise.

Design and own geometric map-generation algorithms processing large-scale lidar data into automated 3D maps. Improve distributed map-building pipeline runtime, scalability, and data quality; diagnose failure modes and deliver measurable algorithmic fixes. Collaborate on data contracts and integrations while applying geometric optimization, spatial transforms, point-cloud processing, and mapping techniques for autonomous vehicles.

Leads Aurora’s Detection and Response and Security Operations Center organizations across vehicle, cloud, and enterprise environments. Owns cybersecurity strategy, detection engineering, threat hunting, incident response, vulnerability management, 24x7 monitoring, staffing, metrics, and executive incident communications. Builds and scales teams, oversees security tooling and architecture, drives remediation, and ensures continuous improvement in SOC maturity and operational effectiveness.

Design and develop security frameworks for Aurora’s autonomous vehicle platform and cloud services. Lead vehicle security implementation, architecture reviews, threat modeling, code reviews, security releases, and integration with partner teams and OEMs. Write production-quality C++ and Golang, mentor engineers, translate requirements into products, and apply cryptographic, infrastructure, network, embedded, and hardware security practices.

Owns software readiness for Aurora’s expanding autonomous trucking network across lanes, endpoints, weigh stations, and truck stops. The role synthesizes cross-functional engineering status, leads executive reporting and escalation, aligns autonomy capabilities with commercial priorities, coordinates testing and mapping dependencies, forecasts vehicle demand, and builds scalable tracking processes and tooling.

Lead full-stack development for Aurora’s mapping systems, owning features from architecture through deployment. Build scalable backend services, geospatial data pipelines, and responsive WebGL web applications using React or Angular. Develop geometric algorithms, improve system reliability, influence technical roadmaps, mentor engineers, review code, and collaborate with operations and cross-functional teams to improve mapping workflows and autonomous fleet support.

Build and maintain an AI-native application security program for autonomous trucking software and infrastructure. Partner with engineering teams on secure design and remediation, investigate vulnerabilities, threat model systems, contribute production code, develop security automation and developer tooling, and integrate preventative controls into the software development lifecycle. Use AI to scale investigations while validating results and explaining technical reasoning.