• Design, develop, and maintain core planning and prediction systems, including trajectory generation, behavior prediction, decision-making, and motion planning algorithms for autonomous trucks. • Advance and evaluate multiple planning approaches, including optimization-based, learning-based, and hybrid architectures, making data-driven decisions on where each methodology delivers the greatest value. • Own technical solutions across the full software lifecycle, including architecture design, implementation, testing, simulation validation, vehicle integration, deployment, and long-term maintenance. • Develop production-quality software using modern C++ within a Linux environment while adhering to quality, safety, testing, and deployment best practices. • Drive simulation-based validation efforts across Software-in-the-Loop (SiL), Hardware-in-the-Loop (HiL), and Vehicle-in-the-Loop (ViL) environments to ensure robust performance and prevent regressions. • Partner closely with Safety, Controls, Perception, Validation, and Simulation teams to develop safe and reliable autonomous driving behaviors, including fallback strategies and minimum-risk maneuvers. • Lead root-cause investigations by reproducing field issues in simulation, debugging vehicle behavior, and translating findings into actionable software improvements. • Influence technical strategy, roadmap planning, and long-term architectural direction across the Behaviors organization. • Act as a technical lead on complex, cross-functional initiatives, driving alignment and execution across teams and stakeholders. • Mentor engineers, raise technical standards, and help develop the next generation of autonomy leaders within the organization.

Title: Software Engineer - Full Stack remote type Hybrid locations Austin time type Full time Job Description: At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. This role cannot offer any sort of visa sponsorship. Who Are We? We are the Digital Services team within Customer Service Technology under eBay's Global Technology Organization. We own the end-to-end online customer service experience across web and native mobile, helping millions of buyers and sellers get fast, effective help every day. Our mission is to keep members in-journey and resolve issues through intuitive, compliant self-service experiences, driving high containment and deflection, lower customer effort (CES), and reduced assisted contact. We design and build the experiences that enable customers to quickly find answers, resolve issues through self-service, and get support when needed. . Partnering closely with Product, Design, Data, and Platform teams, we deliver intuitive, reliable, and scalable solutions that improve the end-to-end customer service journey. Our engineers work across frontend applications, backend services, APIs, and platform integrations using a modern, diverse tech stack that includes Java, Node.js, web services, native iOS and Android, and a variety of data stores such as NoSQL and Oracle, with a strong focus on quality, observability, and collaboration in a highly distributed environment. What You will Accomplish - Translate requirements into software designs and deliver clean, efficient, extensible, and maintainable code. - Architect, develop, and deploy highly scalable, resilient, and performant distributed systems and full-stack applications. - Boost team productivity by identifying and advocating opportunities for process and tooling improvements. - Anticipate areas of frequent change, and design with flexibility to improve long-term engineering velocity. - Collaborate with cross-functional partners to deliver innovative solutions aligned with development goals and principles. - Apply evidence-centered design to ensure features are testable, high-quality, and continuously deliverable. - Provide technical leadership: code reviews, ADR (Architecture Decision Record) feedback, mentoring, and coaching across teams. - Identify gaps and systemic issues, propose solutions, shape the engineering roadmap, and drive resolution. - Lead engineering support, release management, and on-call responsibilities for an always-on 24/7 site. What you will bring: - 4+ years of software development experience with strong computer science fundamentals and problem-solving skills. - Strong experience building full stack applications, including frontend development, backend services, and API integrations. - Deep expertise in Java (Spring / Spring Boot) and/or Python, with experience building scalable APIs using REST and GraphQL. - Proficiency in JavaScript/TypeScript, Node.js, React, Marko, and modern web development frameworks. - Experience designing and integrating distributed systems, services, and data flows in a high-scale environment. - Solid understanding of databases and data access patterns, including Oracle, NoSQL, and GraphQL-based systems. - Familiarity with Agile development, CI/CD pipelines, Git, testing strategies, and modern engineering best practices. - Experience using AI-assisted development tools such as coding assistants, test generation, and code review aids to accelerate delivery while maintaining high code quality. Additional Details The base pay range for this position is expected in the range below: $98,000 - $173,600 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center and AI Hiring Guidelines.

• Lead a cross-functional engineering team, driving technical direction, delivery quality, and platform evolution. • Take ownership of the design, development, deployment, and maintenance of full-stack applications and services. • Work closely with Product teams to shape requirements, influence the roadmap, and align technical solutions with business objectives. • Evaluate, prototype, and implement AI-powered capabilities, including LLM-based features, intelligent automation, and AI-enhanced workflows. • Provide technical leadership through architecture reviews, code reviews, and engineering best practices. • Design and build scalable, secure, resilient, and observable cloud-based solutions. • Champion automated testing, quality assurance, and engineering standards across the development lifecycle. • Build, maintain, and improve CI/CD pipelines to support reliable and efficient software delivery. • Communicate technical designs, risks, and progress effectively to both technical and non-technical stakeholders. • Mentor and support engineers, helping to develop technical capability across the team. • Promote a culture of collaboration, continuous improvement, and engineering excellence. • Support recruitment, onboarding, and development of engineering talent. • Maintain clear technical documentation to support knowledge sharing and long-term maintainability.

• Build agents that investigate incidents. They surface anomalies, answer "why is production broken?", and use ClickStack as their substrate. • Write skills, not just prompts. Build a library of reusable skills that captures how our team debugs, finds root causes, writes ClickHouse queries, and runs incident response, so agents pick up the right playbook instead of starting from scratch. • Own the agent stack end-to-end. Context engineering, tool design, evals, tracing, cost. You're responsible for whether the agent works in production. • Make ClickStack a great place to run AI workloads. Build the MCP servers, SDKs, and integrations that let customers' agents read telemetry, take action, and stay observable themselves. • Work in the open. Collaborate with OSS contributors and customers, debug their problems alongside them, and feed what you learn back into the product. • Tackle the hard parts. Latency, cost, context window limits, eval coverage, hallucinations on real telemetry.