Robotics Validation & Release Engineer
Arlington, TX - USA
Job Summary
Are you ready to be part of a companythatsnot just talking about the future but actively shaping it Join The AES Corporation the largest US-based global power company witha teamof 8300employees across 12 countries.
AES has beenranked #1 byBloombergNEFin renewable energy sales to corporations in the US and Americas for five consecutive years providing electricityformillions of peopleworldwide.
We are proud to foster a strong workplace culture earning prominent positions in Great Place to Work rankings across the markets where weoperate. AES was also named one of the Worlds Most Ethical Companies for the 13th consecutive year in 2026 highlighting our dedication to integrity transparency and responsible business practices.
Our spirit of innovation continues to earn industry recognition. AES is the only seven-time winner of the Edison Electric Institutes Edison Awards in the twenty-first century a distinction honoringglobal leadership in advancing the electric power industry.
Ifyoureready to be part of a companythatsnot just adapting to change but driving it AES is the place for just building a more sustainable futurewerepowering it. Apply now and energize your career with a true leader inglobalenergy.
We are seeking a highly skilled and experienced Robotics Validation & Release Engineer to join our this role you will lead the definition and execution of the end-to-end validation and release strategy for the software that powers Maximo our solar module installation robotic system. This includes but is not limited to the testing and validation of perception autonomy controls safety and system services before any release is deployed to production robots operating on active construction sites.
You will establish clear release criteria quality gates and verification and validation plans that scale with fleet growth. You will be accountable for executing tests and validation activities across simulation hardware-in-the-loop lab systems and field environments for all software releases and changes. You will also be responsible for ensuring that performance reliability and safety requirements are met prior to production deployment.
You will leverage your expertise in robotics simulation testing and system validation to troubleshoot and solve complex challenges while working closely with cross-functional teams to ensure features are properly validated improvements are clearly communicated and software versions are tracked and controlled. You will play a key role in ensuring Maximos software is integrated verified and validated before deployment to production robots in the this role you will translate product-level requirements into structured validation plans release criteria and repeatable deployment processes for a rugged outdoor robotic platform.
A successful candidate is strongly motivated and passionate about solving robotics problems and pushing the boundaries of what is possible today. This individual will be entrepreneurial mission-driven and responsible for progressing developing and executing the validation and release roadmap for our solar module installation robotic system.
This person will take ownership of defining release criteria and quality gates validating robotics solutions before deployment and ensuring the system meets requirements and performance addition this individual will be responsible for improving documentation strengthening validation processes and maintaining disciplined development and release practices.
A strong candidate has a solid technical understanding of robotics system architecture development and validation practices combined with hands-on experience working with robotics stacks such as ROS 2 C real-time communication mobility and sensor fusion for autonomous mobile systems.
As a specialist in the Maximo business this position will work collaboratively across the Maximo external industry partners across the value chain and AES teams including engineering business development construction finance supply chain and strategy.
Define validation strategy and test coverage expectations across unit integration system regression and endurance testing
Own the software release process end-to-end from release planning through deployment and post-release verification.
Build and maintain a release readiness framework (entry/exit criteria go/no-go checklists sign-offs and rollback plans).
Develop and maintain CI pipelines and automated regression suites; ensure results are visible actionable and trusted.
Coordinate system-level verification across simulation HIL lab rigs and field test robots; standardize test environments.
Establish performance benchmarks and acceptance thresholds for critical behaviors (accuracy latency stability uptime safety).
Partner with engineering and product leads to translate product requirements into testable acceptance criteria and validation plans.
Own release documentation including release notes known issues validation reports and deployment playbooks.
Ensure safe deployment practices and alignment with applicable safety standards and operational constraints in the field.
Establish verification and validation practices: architecture reviews test plans performance benchmarks and traceability from requirements to tests.
Design develop implement and troubleshoot robotics systems for various components including robotics servomotors variety of automation sensors vision systems battery management and safety components.
Ensure seamless integration of robotic systems with other components and systems.
Conduct rigorous testing and validation of robotics systems to meet performance and safety requirements
Collaborate with cross-functional teams to ensure the successful integration of robotics solutions into complex systems.
Build scenario libraries (terrain/slope occlusions lighting sensor noise) acceptance metrics
Simulation-to-field correlation (validate sensor models vs real logs)
Support transition from simulation to real-world testing by creating test procedures instrumentation and debugging workflows; help close gaps between simulation and field
Develop and maintain robotic system architecture ensuring continuous improvement and innovation.
Design develop and implement advanced algorithms for real-time tasks such as trajectory generation motion control robotics motion and system optimization.
Research develop implement and test new capabilities for industrial robotics
Bachelors or Masters degree in Electrical Engineering Robotics Computer Science or a related field.
6 years of work experience in robotics system.
Proven track record owning releases for systems that include embedded/real-time components and hardware interfaces.
Hands-on experience with automated testing frameworks CI/CD and test infrastructure (e.g. Python tooling Docker build systems).
Experience designing test plans and validation strategies for autonomy/robotics or safety-critical systems is strongly preferred.
Strong debugging skills across software/hardware boundaries; ability to reproduce and isolate field issues systematically.
Comfort with uncertainty and fast iteration; ability to balance speed and rigor while maintaining high quality standards.
Strong theoretical foundation in robotics software and system architecture.
Strong programming skills in languages such as C Python
Proficiency in ROS2 and experience with ROS hardware integration
Experience with robotics simulation and digital twins.
Experience with middleware and networking considerations (DDS QoS latency/jitter time synchronization) in distributed robotic systems.
Proven track record of successfully delivering complex robotics systems to market
Knowledge of robotics platforms and sensor systems.
Founders mentality: Entrepreneurial passion for getting things done and a make it happen attitude with an intellectual curiosity to seek new opportunities.
Skill and Behavior: Capability to work dynamically and collaboratively across multiple teams in a fast-paced and technical business environment with minimal supervision. Excellent communication skills. Results-oriented can-do attitude and get things done mentality; comfortable with uncertainty and ambiguity; no compromise on attention to quality and details.
Technology fluency: Demonstrated ability to understand solar engineering and technology concepts question assumptions and make informed product and technology decisions. Technical understanding of automation robotics computer vision machine learning and/or artificial intelligence is a plus.
Be a part of the change and join Maximo at AES!
Start Date: ASAP
Travel: 60% travel
Languages: English required
Required Experience:
IC
About Company
AES is a global energy company that creates greener, smarter and innovative energy solutions. Together, we can accelerate the future of energy.