• Automate or optimize high-volume manual processes (audit evidence collection, data gathering, compliance reporting) using APIs and workflows to reduce manual effort and human error • Build integrations that pull data from systems of record (Okta, Workspace, GitHub, Security tools, Google Cloud, Snowflake) and consolidate it in BigQuery for audit readiness and analytics • Design and implement agentic workflows that allow non-engineering stakeholders to interact with company data and reports through conversational interfaces, reducing their need to manually query or compile information • Own the operational lifecycle of integrations: monitoring, alerting, troubleshooting, and evolving them as business requirements change • Identify manual handoffs and repetitive tasks across IT, audit, and business functions, then build automation or agent-driven solutions to eliminate them • Work cross-functionally with business teams to understand pain points, translate them into technical solutions, and measure the impact on time savings and compliance readiness • Build scalable, resilient, and secure systems

Description Description At General Motors, 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 unavailable. SDS requests driver takeover and, when 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, prediction, planning, controls, and system integration). Depth in perception, tracking, prediction, 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 within Embodied AI, you will: - 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. 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, 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. - Hands-on technical excellence - 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. - Cross-functional and safety alignment - 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. - Leadership & mentorship - 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. Qualifications - 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. Bonus points - Experience building or leading camera/radar/lidar perception and fusion for autonomous driving or advanced driver assistance systems in production. - Deep expertise in tracking and prediction for autonomous vehicles or robotics (e.g., interaction-aware prediction, occupancy forecasting, scene-level prediction). - 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 outside of New York, Colorado, California, or Washington. - The salary range for this role is $218,800-$335,300. The actual base salary a successful candidate will be offered within 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: GM 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, GM vehicle discounts and more. Benefits: - Benefits: GM 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, GM vehicle discounts and more. #GM-AV-1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Role Description The effective and efficient operating of our core IT business services is critical to our ongoing success. The role will deliver services to the entire business, in particular working very closely with our Revenue Operations, Business Operations, Security and Platform teams to ensure that delivery is timely and to a high standard. The Senior Systems Engineer role will be responsible for all aspects of our Internal IT and the core productivity tools – from definition and design, through to implementation and ongoing operational management. This is a hands-on role requiring: - Deep technical expertise and leadership - Strong project planning and task/time management - A positive can-do/get-stuff-done attitude - Commercial awareness - Amazing customer service What you’ll do: - Design and manage all aspects of a Microsoft centric IT infrastructure environment – across Azure, Microsoft infrastructure/management tools, and end user productivity tools (primarily the MS 365 suite). - Design and manage our identity and access management solutions, policies and controls, primarily utilising Microsoft Entra and supporting solutions. - Design and manage our end point life cycle management solution (including MDM) covering policy, procurement, provisioning, management and decommissioning. - Design and manage physical infrastructure such as internet connectivity, local networking, physical access controls, AV/meeting rooms, and printing. - Define and manage a services operation approach (based on ITIL) providing key processes and policies that manage risk appropriately, whilst maintaining a focus on pragmatic delivery. - Liaise with our Security Team to ensure systems are delivered and maintained in line with LawVu’s security policy and standards, ISO/SOC standards, MFA approach, and end point protection measures. - Liaise with key stakeholders to ensure solutions enable our Teams to work as effectively and efficiently as possible. - Work across the Business as required to help in the selection process of other business services solutions (i.e. HRIS, FMIS, etc), ensuring a cohesive business technology environment is maintained. - Engage and lead external technical resource/vendors as required to assist in the delivery of IT business services. - Ensure our solutions take advantage of heavy automation, AI and emerging technologies, and repeatable processes to reduce manual effort/improve productivity across business services. - Provide leadership and guidance to junior members within the Team, including documentation, help and escalation of technical issues. - Provide deskside and remote support for end users – level 1–3 as required. - Be friendly, customer focused, open minded, and willing to jump in and help. Qualifications - 8+ years experience in a similar systems engineer role leading an IT environment. - Strong experience defining and supporting a Microsoft infrastructure environment – Entra, Intune, Sharepoint, Exchange, Teams, One Drive, 365, Azure, and Co-Pilot. - Experience across other technologies, i.e. PowerShell, Jira, Slack, Google suite/infrastructure, other AI/automation tools. - Strong demonstrated experience with end point management. - Microsoft certifications including Admin Associate (AZ-104), Endpoint Admin Associate (MD-102), MS 365 Admin (MS-102), Windows Server Admin Associate (AZ-800), and/or Security Fundamentals (SC-900). MCSE in old language, but demonstratable progress towards current certs. - Strongly desired certification or demonstratable experience in MS identity and access (SC-300), Azure AI Engineer (AZ-102), and/or Azure virtual desktop. - A growth mindset, being curious, with strong analytical and problem solving skills. - A strong communicator, being able to bridge the gap between business requirements and outcomes to technical solutions and actions. - Comfortable working in a fast-paced environment where the “how” is not always known, focused on proactively solving challenges as they emerge. Benefits - Monthly wellness allowance to use on whatever enables you to bring your whole self to work - gym membership, massage, childcare, ...the list goes on! - Health insurance cover. - Extended paid parental leave. - Extra paid day off on your birthday. - Share options so you can have a piece of the pie. - Home office allowance set up for remote employees. Location New Zealand (Tauranga or Wellington). Reports to Director of Revenue Operations, Revenue Operations.

Role Description We are seeking a detail-oriented Solar Designer to bridge the gap between technical design and administrative coordination. This is a dual-function role: - Responsible for creating high-performing solar layouts. - Managing critical "behind-the-scenes" administrative tasks to ensure a project moves from a quote to a successful installation. Key Responsibilities - Generate professional solar layouts and designs using Pylon. - Prepare accurate, comprehensive quotes for the sales team, ensuring all components and labor costs are correctly accounted for. - Follow up on pending approvals to ensure project timelines remain on track. - Act as the primary administrative bridge between the office and the install teams. - Draft and send installation briefing emails, ensuring installers have all necessary site maps, equipment lists, and safety notes. - Coordinate schedule confirmations with customers and internal stakeholders. - Maintain and update the CRM with lead and project statuses. - Manage routine email correspondence with transparency and professionalism. - Work independently to solve routine bottlenecks in the pre-installation phase. Qualifications - Minimum 3 years of experience as a Solar Designer or related role. - Hands-on experience with Pylon and ServiceM8. - Familiarity with CRM tools and Google Workspace/Microsoft 365. - Solid understanding of solar standards and regulations. - A "self-starter" mindset; comfortable working independently on routine tasks without needing constant supervision. - Exceptional written English skills, specifically for professional email coordination. - High attention to detail. Work Arrangement & Expectations - This is a remote role that will be set up as an independent contractor engagement. - Successful candidates will be expected to disclose any existing ongoing roles or client work. - Reflect this engagement on their LinkedIn profile (clearly marked as “Independent Contractor”).