Top Engineering Jobs in Austin, TX

Develop and deploy robotics software solutions for manufacturing, including machine learning, deep learning, computer vision, simulation, and real-time applications. The role involves designing prototypes, building and testing robotic cells, streamlining robotics engineering processes, integrating systems at scale, and collaborating with manufacturing engineering teams. Travel to GM facilities in the U.S. and Mexico is required up to 25% of the time.

Leads multiple software engineering teams building enterprise platforms, integrations, APIs, and modernization programs. Sets technical direction, owns delivery and production health, drives architecture and legacy-system modernization, and embeds AI coding agents across the software development lifecycle. The role remains hands-on through coding, reviews, debugging, and prototyping while coaching leaders, hiring engineers, improving engineering practices, measuring delivery performance, and aligning technical outcomes with business strategy.

Leads and codes alongside a 6–12 person software engineering team responsible for order fulfillment products and services. Owns technical direction, architecture, delivery, reliability, operational excellence, hiring, coaching, and performance management. Designs scalable systems, writes production code, participates in incident response, and drives cloud and legacy modernization. Establishes agent-native development practices using AI coding tools, including guardrails, automated testing, code review, and evaluation workflows. Partners with product, business, and engineering teams on roadmaps and cross-functional initiatives.

Develop production-grade C++ software for General Motors’ Secondary Driving System, focusing on motion planning, controls, perception integration, and minimal-risk maneuvers. Design autonomy algorithms, optimize performance under real-time constraints, conduct simulation and on-road testing, debug cross-stack issues, and support functional safety and fail-operational requirements. Collaborate across robotics, ML, systems, safety, and vehicle engineering while mentoring other engineers.

Lead architecture and hands-on delivery of production-critical software across Python, FastAPI, React, TypeScript, Java, cloud, data, security, and manufacturing integrations. Build distributed and event-driven services, improve reliability and observability, guide CI/CD and infrastructure automation, and support edge-to-cloud computer-vision and machine-learning solutions. Provide technical leadership, mentor engineers, align cross-functional teams, make architectural decisions, and evolve reusable platform capabilities across manufacturing sites.

Build and lead full-stack web applications and enterprise search capabilities using GCP and Vertex AI Search. Responsibilities include frontend and backend development, API and cloud service design, search indexing and relevance optimization, experimentation, performance tuning, testing automation, observability, reliability, and technical mentorship. The role partners with product, UX, marketing, data science, and ML teams to deliver personalized discovery experiences across GM digital products.

Leads modernization of General Motors’ embedded software build ecosystem by migrating Make- and shell-based workflows to Bazel. Designs reusable rules, toolchains, platforms, and repository standards; integrates build infrastructure with CI/CD, testing, releases, security, and observability; and improves reproducibility, performance, reliability, and developer productivity. The role also evaluates AI-assisted engineering workflows and mentors teams across the organization.

Develop and maintain mobile applications using React Native across the full software lifecycle. Build APIs, write unit and UI tests, troubleshoot live applications, improve performance and usability, remediate code quality and security issues, document solutions, and collaborate with product, design, and engineering teams. The role also provides technical leadership and requires compliance with software development standards.

Lead modernization of General Motors’ embedded-software build infrastructure by migrating legacy Make and shell workflows to Bazel. Design reusable rules, toolchains, platforms, and repository standards; integrate build systems with CI/CD, testing, release, security, and artifact workflows; and improve reproducibility, performance, reliability, and developer productivity. The role also involves mentoring engineers, guiding strategy, measuring migration outcomes, and evaluating AI-enabled engineering workflows.

Leads the design, development, and maintenance of scalable backend services and distributed systems for GM Commercial Software. Builds customer-facing capabilities, improves code quality and engineering efficiency, contributes to architecture discussions, collaborates across product and engineering teams, explores new technologies, and mentors early-career engineers.