Jobs at GenomeKey

Provide onsite and remote desktop/laptop support for Ubuntu, Windows, and macOS across engineering teams. Develop and standardize solutions (automation, builds) with other IT teams, monitor service health, onboard new users, troubleshoot hardware, network and software issues, and support VIPs. Regular onsite presence in the San Francisco Bay Area with some local travel.

Design, build, and operate security-focused services, tooling, and automation across cloud-native environments. Integrate security into CI/CD, perform secure code and design reviews, implement IAM and secrets management, build telemetry for detection and incident response, and mentor engineers on secure architecture and coding.

Design, build, and optimize scalable, reliable ML training infrastructure for distributed GPU/cloud environments. Improve training performance, observability, debuggability, and resource utilization while collaborating with ML engineers and research scientists to support large-model training workflows.

Lead design and improvement of multi‑modal ML perception models (detection, segmentation, tracking, prediction) for a fallback autonomy stack. Build datasets, define metrics, run experiments, optimize models for on‑vehicle latency, integrate into production, and support verification/validation and safety collaboration. Mentor engineers and promote ML engineering best practices.

Technical leader who architects and delivers end-to-end ML and computer vision pipelines to reconstruct and maintain map primitives from multi-modal vehicle sensor data, driving national-scale, production mapping systems and cross-functional integrations.

Lead research and development of vision-language and vision-language-action foundational models for autonomous driving, focusing on multimodal alignment, onboard model compression and optimization, real-time deployment on vehicle edge hardware, cross-team integration, technical strategy, mentorship, and publishing/patenting research.

Design and develop scalable web applications and robust system infrastructure using modern front-end/back-end technologies and cloud platforms. Build database solutions, write clean, unit-tested code for client- and server-side components, maintain CI/CD pipelines, and collaborate with cross-functional teams to deliver high-quality software. Hybrid: 3 days in-office.

Design, configure, and maintain global hourly compensation in Workday across countries and collective bargaining agreements. Lead end-to-end configuration, translate policies and CBAs into auditable Workday setups, partner with Payroll/Integrations and Reporting, execute testing and deployments, troubleshoot production issues, and improve processes and automation.

Lead design, architecture, and deployment of real-time state estimation, localization, and sensor calibration systems for autonomous vehicles. Mentor engineers, drive technical strategy, ensure robust, scalable, safety-critical onboard implementations, and collaborate across multidisciplinary teams.

Design and deliver production-ready in-vehicle interfaces (clusters, touchscreens, HUD). Collaborate with designers, researchers, engineers, and product teams to create prototypes, specs, and assets, and communicate design rationale to ensure high-quality implementation.

Senior individual contributor who sets technical direction for the MyAccount platform, architects and implements scalable web and API capabilities using Next.js/React/TypeScript, improves reliability/observability, mentors engineers, and drives cross-team technical alignment and operational ownership.

Lead design, development, and deployment of on-vehicle core platform software and cloud integrations for autonomous vehicles. Drive reliability, KPIs, risk mitigation, mentor engineers, conduct code reviews, and shape long-term platform roadmap.

Develop and maintain high-performance automotive infotainment UI applications in modern C++. Work across QNX/Linux/Android platforms to implement scalable UI frameworks, optimize rendering and startup performance, debug graphics and IPC issues, integrate vehicle signals/services, and support vehicle integration and milestone deliveries through testing, code reviews, static analysis, and CI/CD workflows.

Lead strategy and execution for GM's external vehicle command and telematics data APIs. Own roadmap, define user journeys and metrics, collaborate with engineering, design, legal and security, drive global launches, and ensure secure, compliant data sharing while using quantitative and qualitative feedback to prioritize and improve API products.

Design, implement, and operationalize enterprise-scale zero trust secure access architectures (mesh VPN, identity-aware proxies) across web and non-web applications. Perform deep network access analysis, translate findings into reusable patterns and IaC/CI-CD automation, collaborate cross-functionally, lead onboarding, incident response, and drive secure access metrics, documentation, and mentorship.

Lead design and governance of compensation programs for GM's tech organizations. Provide market benchmarking, analytics, and executive-ready recommendations. Manage a small compensation team, partner with HR, Finance, Legal, and business leaders to ensure competitive, equitable pay frameworks for tech roles, and ensure compliance, audit readiness, and alignment with enterprise job architecture.

Lead development of enterprise-scale test automation and frameworks using Python and Robot Framework. Own automation features, guide library development, perform code reviews, mentor the team, collaborate with cross-functional customers, and participate in Agile ceremonies to improve test infrastructure for embedded vehicle software, with emphasis on automotive serial data needs.

Lead strategy and architecture for AV evaluation metrics and pipelines. Develop statistical and ML methods to quantify performance, detect regressions, and produce KPIs and interactive dashboards. Collaborate with autonomy, simulation, systems, and safety teams to embed evaluation into development and release decisions.

Lead architecture and development of large-scale simulation test infrastructure and evaluation pipelines for autonomous vehicle validation. Drive cross-functional integration, define metrics/KPIs, create analysis and dashboards, and set technical standards through design and code reviews to support safety and release decisions.

Lead design, build, and operate observability systems and tools for AV developer productivity. Ship code, run PoCs, define SLIs/SLOs, mentor engineers, partner with teams to collect and act on signals from cloud systems and vehicle sensors, and drive roadmap and best practices.