Description About the Team The Model Deployment & Inference Solutions team in GM AV deploys machine learning models from training frameworks (e.g. PyTorch) onto autonomous vehicle hardware. Our mission is two-fold: build the ML deployment platform that makes model rollouts fast and predictable, and optimize models so they meet the real-time latency and memory budgets required to run on-vehicle. Our work is on the critical path of GM's publicly committed launch of eyes-off (hands-free, eyes-free) autonomous driving in 2028, debuting on the Cadillac Escalade IQ, building on Super Cruise's billion-plus hands-free miles. About the Role This role sits in the team's Platform pillar. We own the unified ML deployment platform that automates the path from a trained model to inference on the vehicle, along with the developer-experience and agentic-tooling layer that makes deployment self-serve for every ML model development team at GM. What you'll be doing (Responsibilities) - Design, build, and operate the ML deployment platform that automates the path from trained model to on-vehicle inference. - Drive cross-organization model deployments to the autonomous vehicle stack, partnering with model development teams to take high-value models from training to production on-vehicle. - Build agentic tools that diagnose and fix deployment-blocking issues, automating workflows currently performed manually by engineers. - Build the developer experience that ML model development teams use day to day: tooling, dashboards, automation, and observability. - Drive shift-left validation that surfaces deployment risk (compile, runtime, parity, latency) early in the model development cycle. - Build platform tools that integrate the work of our sister teams (kernels, compiler, reduced precision and parity) so their optimization wins land directly in the deployment workflow. - Partner with the team's Performance pillar and model development teams across the AV organization. Your Skills & Abilities (Required Qualifications) - BS, MS, or PhD in Computer Science or a related technical field. - 3+ years of relevant industry experience. - Strong fundamentals and excellent coding ability in Python. - Experience building or operating production platform or infrastructure systems where reliability, observability, and extensibility matter. - Experience with ML model deployment, inference integration, model optimization workflows, or model serving infrastructure, with at least one prior context where you owned the path from a trained model to a running inference workload. - Experience using coding agents (Cursor, Claude Code, GitHub Copilot, or equivalent) as part of your engineering workflow. - Experience designing clean, well-tested software with clear interfaces and good abstractions. - Strong cross-team collaboration skills. What Will Give You A Competitive Edge (Preferred Qualifications) - Experience building agentic or LLM-powered developer tooling. - Experience with ML or workflow orchestration frameworks (Airflow, Temporal, Flyte, Ray, Kubeflow, or equivalent). - Familiarity with the NVIDIA GPU stack at the integration level (CUDA-aware Python, TensorRT, Triton inference server, torch.compile, ONNX). - Experience with inference-serving frameworks (Triton, TorchServe, Ray Serve, vLLM) or edge-deployment toolchains. - Experience with low-latency or real-time systems. - Experience in autonomous vehicles, robotics, or other safety-critical ML deployment domains. - Open-source contributions to PyTorch, Ray, Airflow, Temporal, vLLM, TensorRT, or related projects. - 3+ years of relevant industry experience. 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 $128,700 to $261,300. 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. #GM-AV-1 This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. The selected candidate will be required to travel <25% for this role. This job may be eligible for relocation benefits. 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.

• Design and build AI-powered tools and automations that streamline internal business processes (HR, Finance, etc.), working directly with stakeholders to identify opportunities • Evaluate where LLM orchestration, chat interfaces, or multimodal AI genuinely adds value versus where standard software engineering is the right answer • Design async processing pipelines, batch workflows, and decoupled service architectures suited to internal tooling at scale • Oversee day-to-day engineering work, keeping the team unblocked and aligned on priorities • Architect scalable backend systems using languages and frameworks such as Python and Java. Experience with Kotlin is a plus. • Contribute to frontend work using React and TypeScript as needed • Drive decision-making around performance, scalability, and system design • Write clean, maintainable code and ensure engineering best practices are followed • Lead technical documentation, sprint planning, and ongoing delivery • Partner with product managers and designers to define and scope solutions • Lead client-facing conversations around technical strategy and progress • Present work during demos, milestone check-ins, and roadmap reviews • Balance business needs with technical feasibility in collaborative planning sessions • Provide regular feedback and guidance to engineers • Contribute to hiring, onboarding, and leveling processes • Help foster a strong, inclusive engineering culture rooted in transparency and accountability • Identify opportunities to improve our tools, processes, and technical standards

• Lead the design and development of scalable solutions within Adobe Experience Manager (AEM) • Act as a hands-on contributor (coding, reviewing, troubleshooting), not just oversight • Provide technical leadership and mentorship to AEM development teams • Own and guide AEM architecture decisions , including integrations and performance optimization • Collaborate across distributed/global teams • Ensure best practices across AEM development, deployment, and governance

Locations - Sweden (Remote) or Germany (Munich) Cloudflare is seeking a Developer Platform Deal Strategist to play a pivotal role in the growth of Cloudflare's Developer Platform. This is a unique opportunity to join one of the fastest growing teams at Cloudflare. This role falls under the Developer GTM organization and will work closely with our Sales and Product teams as a critical partner to accelerate revenue growth and enhance the overall developer customer journey. This is a high-ownership, high-impact role where strategic thinking and swift execution directly translates into scalable commercial success. We're looking for someone with a strong background in tech sales and business development, with a keen understanding of developer-centric products or at minimum, a desire to learn the space. The best candidate will be someone who can zoom out and understand market trends and business objectives, but also run sales calls, build content, maintain deal trackers, provide enablements, and more. This is an ideal opportunity for someone who thrives in fast-paced environments, has seen success in sales roles, and can navigate multiple priorities across cross-functional teams. What you'll do: - Support Complex Deals: Provide strategic guidance and direct support to sellers on complex, high-value Developer Platform deals, helping structure proposals, pricing, and terms to meet both customer needs and Cloudflare's business objectives. - Evangelize and Co-Sell: Join customer and partner calls to provide guidance on workloads, products, commercial structures, and the overall value proposition of the Developer Platform - Optimize Deal Workflows: Partner with Sales, Legal, Finance, and Product teams to streamline the deal review, approval, and contracting processes, ensuring efficiency and scalability for Developer Platform transactions. - Develop Pricing Strategies: Collaborate with Product and GTM teams to refine and implement pricing strategies, packaging, and licensing models that align with the value proposition of Developer Platform products and encourage adoption and expansion. - Enable Sales Teams: Develop and deliver training, playbooks, and best practices for the sales organization on how to effectively position, price, and negotiate Developer Platform solutions. - Analyze Deal Performance: Monitor and analyze deal trends, win/loss rates, and pricing effectiveness to identify opportunities for improvement and inform future commercial strategies. - Market Feedback Loop: Act as a conduit between sales teams and product/GTM, funneling market insights and customer feedback on pricing, packaging, and commercial terms to inform product roadmap and GTM strategies. - Program Support: Support strategic programs like Cloudflare for Startups and the Workers Launchpad accelerator from a deal strategy and commercialization perspective. - Strategic Vision Contribution: Contribute to the long-term strategic vision for Developer Platform commercialization, including market segmentation, sales motion optimization, and competitive positioning. Examples of Desirable Skills, Knowledge, and Experience: - 6+ years of experience in business development or sales strategy, or a similar role focused on complex B2B sales cycles, preferably within a SaaS or Developer-focused product environment. - Curiosity & growth mindset - always learning and wanting to stay up to speed on the trends in the market. - Demonstrated ability to structure and negotiate high-value, multi-year SaaS agreements with large enterprise clients, addressing complex technology, security, compliance, and procurement requirements. - Strong sense of ownership; someone who takes initiative, works independently, and manages time effectively to drive commercial outcomes. - Excellent negotiation and communication skills, with the ability to influence and align stakeholders at all levels, from sales reps to executive leadership. - Highly customer-centric, with a natural curiosity about technical products and a strategic mindset for solving complex commercial problems. - Comfortable working under pressure and adjusting priorities to meet deadlines in a fast-moving environment. - Proven ability to understand complex technical solutions and translate their value into compelling commercial proposals. - Data-driven, proficient in Excel/Google Sheets, and experienced in using data to inform commercial decisions. - Organized; someone who can stay on track and help keep others on track within a fast-paced environment. - Background in Product-Led Growth (PLG) is a strong plus. Why Join - Direct impact on a hyper-growth part of Cloudflare's business - Ability to sell a category-defining platform in one of the fastest-growing developer markets - Significant earning potential with strong over-achievement upside - Collaborative culture with technical experts and industry-leading products