Autonomy Technology Strategist

Caterpillar Inc.•Irving, TX

4d•$159,120 - $258,570•Onsite

About The Position

Lead the software behind machines that move earth, haul material, and work alongside people. Set the technical direction for complex solutions across robotics, build systems, and operator and machine safety, translating business needs into reliable, testable software suitable for use on job sites. The role leads software from architecture through implementation, testing, release, validation, and certification for robotic, automated, and safety-critical machine systems. The position also develops build, integration, and release pipelines; shapes safety systems such as perception, interlocks, and safety monitoring; and applies functional safety practices. It identifies and applies technologies such as AI and machine learning, advises on integration between software and existing machines, infrastructure, and products, and mentors engineers. The position is based onsite at the Irving, Texas office five days per week, with up to 10% travel. Domestic relocation assistance is available; visa sponsorship is not available.

Requirements

Degree in an accredited Engineering, Computer Science, or Materials Science curriculum.
10+ years of experience supporting platform-level development projects and interfacing with internal development groups.
Proven experience supporting product development for on-road or off-road software engineering projects.
Ability to communicate complex technical concepts clearly and adapt communications to the audience.
Experience managing multiple priorities and guiding reprioritization as needs change.
Technical expertise to evaluate and deliver solutions, resolve challenging issues, and mentor engineers.
Strategic thinking, including using data and analysis to inform business plans and decisions.
Expertise in robotics, build systems, or safety-critical software.
Experience architecting and designing major or multiple products and evaluating architecture alternatives and tradeoffs.
Understanding of design considerations for embedded, real-time, database, operating system, and web environments.
Applied AI capabilities, such as work in perception, autonomy, or anomaly detection; defining AI requirements; maintaining or deploying AI systems; and testing and troubleshooting AI applications.

Nice To Haves

Experience with Core Robotics Planning-level development projects.
Experience with NVIDIA hardware.

Responsibilities

Lead the design, implementation, testing, and release of software for robotic, automated, and safety-critical machine systems, from architecture through fielded product.
Drive test strategy, review and analyze results, witness tests, and guide software through validation and certification.
Build and improve build, integration, and release pipelines for complex embedded and autonomy software.
Shape operator and machine safety systems, including perception, interlocks, and safety monitoring, applying functional safety practices.
Identify and apply new technologies, including AI and machine learning, to expand the software portfolio.
Advise on integration and solve complex issues where new software meets existing machines, infrastructure, and products.
Mentor engineers and raise the technical bar across teams.
Coach others on technical writing and presentations, and tailor communications to stakeholders.
Manage multiple efforts and changing priorities, identify delivery conflicts, and lead reprioritization when needed.
Advise teams on technical solutions, involve appropriate experts, and guide the delivery of solutions to business problems.
Build strategic partnerships, use data and analysis to shape business plans, and recommend actions that strengthen long-term competitiveness.
Provide objective technical insight across business areas and coach others to become trusted technical advisors.
Architect and design major or multiple products, evaluate tradeoffs and design alternatives, estimate design costs, and lead design reviews and walkthroughs.
Perform applied AI work; help define AI requirements; maintain, develop, deploy, or operate AI systems and platforms; and test and troubleshoot AI applications.