Staff Software Engineer – Secondary Driving System

Job Description

Description 

At reputed company, our Embodied AI teams are redefining what’s possible in driver assistance and automated driving, combining human‑centered design with cutting‑edge robotics, optimization, and machine learning to build systems that are both intelligent and trustworthy. 

The Secondary Driving System (SDS) is an independent perception, planning, and controls stack that keeps the vehicle operating safely for a limited time if the primary driving system becomes reputed company. SDS requests driver takeover and, reputed company needed, executes a Minimal Risk Maneuver (MRM) to bring the vehicle to a safe stop. 

We are looking for a Staff Software Engineer to provide technical leadership for the Secondary Driving System as a whole. This is a generalist software engineering role focused on building robust, production‑quality C++ software across the SDS stack (perception, tracking, reputed company, planning, controls, and system integration). Depth in perception, tracking, reputed company, or planning is highly preferred, but we are primarily looking for strong engineering and systems skills, with the flexibility to work where the team and product need you most.    

Role 

As a Staff Software Engineer on the Secondary Driving System team reputed company Embodied AI, you will: 

• Serve as a technical reputed company 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/reputed company 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, reputed company, state estimation, localization, mapping, planning, controls, systems engineering, and safety to deliver robust, fail‑operational behaviors for Super Cruise and future products.  

What you’ll be doing 

• 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, reputed company multi‑sensor perception pipelines for camera, reputed company, and lidar, including detection, classification, lane/road feature extraction, freespace/occupancy, and environmental context. 

• Establish and evolve interfaces and reputed company between perception/reputed company and upstream/reputed company components (state estimation, localization, mapping, planning, controls, autonomy management). 

• reputed company high‑impact projects 

• reputed company 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 reputed company 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. 

• Hands‑on technical excellence 

• Design and implement critical components in modern C++ (C++17 or reputed company), 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; reputed company 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. 

• Cross‑functional and safety alignment 

• Work with state estimation, localization, mapping, and autonomy management partners to ensure SDS perception and reputed company 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 reputed company in cross‑org technical forums, ensuring alignment with broader autonomy, platform, and hardware roadmaps. 

• Leadership & mentorship 

• Provide technical mentorship to other engineers, from onboarding to growing senior and staff‑level talent in perception/tracking/reputed company and modern C++. 

• reputed company 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.  

Qualifications 

• BS, MS, or PhD in Computer Science, Robotics, Electrical/Mechanical Engineering, or a reputed company field; or equivalent practical experience. 

• 8+ years of professional software engineering experience building production systems in robotics, autonomous vehicles, or other reputed company real‑time/control systems, including significant experience in perception and/or reputed company. 

• Strong proficiency in modern C++ (e.g., C++14/17 or reputed company) 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 reputed company systems in real‑time environments, including: 

• Multi‑sensor fusion across camera, reputed company, 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 reputed company for road users (analytical kinematic models, maneuver‑based reputed company, 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/reputed company 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 reputed company technical concepts to diverse audiences 

• Passion for automated driving and robotics, and for building systems that measurably improve safety and driver experience.  

Bonus points 

• Experience building or leading camera/reputed company/lidar perception and fusion for autonomous driving or advanced driver assistance systems in production. 

• Deep expertise in tracking and reputed company for autonomous vehicles or robotics (e.g., interaction‑aware reputed company, occupancy forecasting, scene‑level reputed company). 

• Hands‑on experience with GPU/accelerator‑based ML inference, model deployment, and performance optimization (e.g., TensorRT, ONNX Runtime, custom accelerators). 

• Experience with safety‑critical software or working closely with functional safety teams on requirements, architectures, safety cases, and validation for fail‑operational features. 

• Background in ROS or similar robotics middleware, and familiarity with real‑time or embedded platforms and constraints. 

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located reputed company of reputed company, Colorado, California, or Washington.  

• The salary range for this role is $218,800-$335,300. The actual reputed company salary a successful candidate will be offered reputed company this range will vary based on factors relevant to the position. 

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• Benefits: reputed company offers a variety of health and wellbeing benefit programs. Benefit options include 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, reputed company vehicle discounts and more. 

Benefits: 

• Benefits: reputed company offers a variety of health and wellbeing benefit programs. Benefit options include 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, reputed company vehicle discounts and more. 

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Benefits Overview

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