Staff Software Engineer – Secondary Driving System

🕒 2 dias atrás

🏄 California – Remoto

🏄 California – Remote

💵 $218.800 - $335.300 / ano

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

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General Motors

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1908

🚗 Transporte

⚡ Energia

🏢 Corporativo

💰 $500.000.000 Grant em 2024-07

Transport • Energy • Enterprise

A visão da General Motors é criar um mundo com Zero Acidentes, Zero Emissões e Zero Congestionamentos, e estamos comprometidos em liderar o caminho rumo a esse futuro. Hoje, estamos no meio de uma revolução no transporte e temos a ambição, o talento e a tecnologia para concretizar o mundo mais seguro, melhor e mais sustentável que desejamos. Como uma empresa aberta e inclusiva, também estamos criando um ambiente em que todos se sintam acolhidos e valorizados por quem são. Um único time, no qual todas as ideias são consideradas e ouvidas, onde todos podem contribuir ao máximo de seu potencial, com uma cultura baseada em respeito, integridade, responsabilidade e igualdade. Nossa equipe reúne perspectivas e experiências diversas para solucionar os complexos desafios de transporte de hoje e de amanhã.

Descrição

• Serve as a technical lead for SDS software across multiple components of the stack, setting direction for algorithms, architectures, and system interfaces across features and releases. • Own the end‑to‑end technical strategy for key SDS behaviors and features, spanning perception/prediction integration, planning, controls, and system‑level interactions. • Balance hands‑on technical work with cross‑team leadership: you will still design and implement critical components in modern C++, while also guiding other senior and mid‑level engineers to deliver at scale. • Collaborate closely with experts in perception , tracking, prediction, state estimation, localization, mapping, planning, controls, systems engineering, and safety to deliver robust, fail‑operational behaviors for Super Cruise and future products. • Define technical vision & architecture Set the technical direction for SDS software components with a focus on correctness, robustness, and predictable runtime behavior under tight latency and compute budgets. • Architect scalable, modular multi‑sensor perception pipelines for camera, radar, and lidar, including detection, classification, lane/road feature extraction, freespace /occupancy, and environmental context. • Establish and evolve interfaces and contracts between perception/prediction and upstream/downstream components (state estimation, localization, mapping, planning, controls, autonomy management). • Lead high‑impact projects Lead design and delivery of multi‑object tracking systems (e.g., Kalman/extended/unscented filters, IMM, probabilistic data association, track lifecycle management) that provide stable, high‑quality tracks under real‑world noise and edge cases. • Drive development and integration of short‑horizon motion prediction for vehicles, VRUs, and other actors using a mix of analytical models and ML‑based forecasting, including uncertainty modeling that enables conservative, fail‑operational decisions. • Evaluate trade‑offs between traditional computer vision/robotics and ML‑based approaches, choosing the right tool for the problem and ensuring solutions are production‑ready under latency and compute constraints. • Design and implement critical components in modern C++ (C++17 or later), with careful attention to memory management, concurrency, and real‑time behavior; use Python for tooling, data analysis, and ML experimentation. • Set and uphold high standards for software quality: clean, well‑documented APIs; rigorous code reviews; automated and regression testing; continuous integration; and rich logging and observability for on‑road incidents. • Profile and optimize SDS components to meet strict runtime performance, determinism, and resource‑usage requirements, using offline and online evaluation frameworks and metrics to guide iteration, regression detection, and performance tuning. • Work with state estimation, localization, mapping, and autonomy management partners to ensure SDS perception and prediction behavior supports reliable engagement and MRM in response to primary stack failures. • Partner with Safety and Systems Engineering to ensure designs and implementations align with functional safety , redundancy, and MRM requirements for fail‑operational, eyes‑off features. • Represent SDS perception and prediction in cross‑org technical forums , ensuring alignment with broader autonomy, platform, and hardware roadmaps. • Provide technical mentorship to other engineers, from onboarding to growing senior and staff‑level talent in perception/tracking/prediction and modern C++. • Lead and facilitate design reviews, incident post‑mortems, and cross‑team technical deep dives, raising the bar for clarity, robustness, and execution speed. • Help build a healthy engineering culture: pragmatic, data‑driven decision‑making; strong ownership; and a focus on safety, reliability, and customer experience.

🎯 Requisitos

• BS, MS, or PhD in Computer Science, Robotics, Electrical/Mechanical Engineering , or a related field; or equivalent practical experience. • 8+ years of professional software engineering experience building production systems in robotics, autonomous vehicles, or other complex real‑time/control systems, including significant experience in perception and/or prediction. • Strong proficiency in modern C++ (e.g., C++14/17 or later) in large, multi‑contributor codebases; experience using Python for tooling, data analysis, and ML experimentation. • Demonstrated experience leading technical design and delivery of perception , tracking, or prediction systems in real‑time environments, including: • Multi‑sensor fusion across camera, radar, and/or lidar (e.g., object‑level fusion, occupancy/ freespace fusion, early/late fusion architectures) • Classical computer vision and geometric algorithms (feature extraction, multi‑view geometry, stereo, SfM , SLAM/visual odometry) • Multi‑object tracking (Kalman/extended/unscented filters, track‑to‑track fusion, track lifecycle management) • Motion prediction for road users (analytical kinematic models, maneuver‑based prediction, or learned trajectory forecasting models) • Proven track record of delivering reliable, high‑quality robotics or autonomous driving software to production, including: • Testing strategies (simulation, HIL, scenario‑based testing, regression suites) • Robust metrics and dashboards for monitoring perception/prediction performance • Performance tuning under strict latency and compute budgets • Strong communication and collaboration skills, with the ability to: • Drive clarity in ambiguous technical spaces • Influence engineers and leaders across ML, systems, platform, hardware, and safety • Document and communicate complex technical concepts to diverse audiences. • Passion for automated driving and robotics, and for building systems that measurably improve safety and driver experience.

🏖️ Benefícios

• medical • dental • vision • Health Savings Account • Flexible Spending Accounts • retirement savings plan • sickness and accident benefits • life insurance • paid vacation & holidays • tuition assistance programs • employee assistance program • GM vehicle discounts