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Robotics Simulation Jobs in Arizona (NOW HIRING)

... data and simulations, to improve the accuracy, robustness, and safety of our self-driving ... robotics. - Experience in working with platform teams and collaborating with research teams to ...

Collaborate with the Sim team to build accurate sensor simulation models and validate them through ... Deep technical knowledge of automotive or robotics sensors (Lidar, Radar, Cameras). * Demonstrated ...

Collaborate with the Sim team to build accurate sensor simulation models and validate them through ... Deep technical knowledge of automotive or robotics sensors (Lidar, Radar, Cameras). * Demonstrated ...

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Robotics Simulation information

What is robotics simulation?

Robotics simulation is the use of computer software to model and test the behavior of robots in a virtual environment. This allows engineers and researchers to design, program, and optimize robots without needing physical prototypes, saving time and resources. Simulations can replicate real-world conditions, enabling the analysis of robot movement, sensor data, and task performance before implementation. Robotics simulation is commonly used in developing autonomous systems, industrial automation, and research applications.

What are the key skills and qualifications needed to thrive as a Robotics Simulation Engineer, and why are they important?

To thrive as a Robotics Simulation Engineer, you need a strong background in robotics, computer science, and mathematics, often supported by a relevant degree such as electrical engineering or mechanical engineering. Familiarity with simulation tools like Gazebo, ROS (Robot Operating System), MATLAB/Simulink, and programming languages such as Python or C++ is essential. Problem-solving, attention to detail, and effective teamwork are key soft skills that help in designing and refining complex simulation models. These abilities are crucial for creating accurate simulations that accelerate development, testing, and deployment of robotic systems.

What is the difference between Robotics Simulation vs Robotics Software Engineer?

AspectRobotics SimulationRobotics Software Engineer
Required CredentialsBachelor's in Robotics, Computer Science, or related; experience with simulation toolsBachelor's or higher in Computer Science, Robotics, or related; programming skills
Work EnvironmentResearch labs, simulation platforms, development teamsSoftware development teams, robotics companies, tech firms
Industry UsageTesting algorithms, virtual prototyping, system validationDeveloping robot control software, algorithms, and integration
Common Search/ComparisonYesYes

Robotics Simulation focuses on creating virtual environments to test and validate robotic systems, while Robotics Software Engineers develop the actual software that controls robots. Both roles often collaborate but serve different stages of robotics development, with simulation emphasizing testing and validation, and software engineering focusing on implementation and coding.

What are some typical challenges faced when working in robotics simulation, and how can they be addressed?

Professionals in robotics simulation often encounter challenges such as accurately modeling real-world physics, ensuring simulation fidelity, and integrating with hardware or software systems. Addressing these requires a strong understanding of both robotics and simulation tools, as well as effective collaboration with engineers, software developers, and testers. Staying updated with advancements in simulation platforms and maintaining clear documentation are key strategies to overcome these challenges and ensure the simulations provide meaningful insights for development and testing.
What cities in Arizona are hiring for Robotics Simulation jobs? Cities in Arizona with the most Robotics Simulation job openings:
Infographic showing various Robotics Simulation job openings in Arizona as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Staff Design Verification Engineer (AI/ML)

Analogdevices

Chandler, AZ

$133K - $163K/yr

Other

Posted 27 days ago


Job description

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.comand on LinkedIn and X.

About the Role

As a Staff Design Verification Engineer, you will develop and execute verification strategies for complex analog and mixed-signal ICs, from test planning through coverage closure. You will apply AI/ML techniques to improve regression efficiency, debug throughput, and coverage analysis. Your work will contribute to product quality and delivery across multiple business units, ensuring ADI's next-generation mixed-signal and power management products meet rigorous quality standards.

Key Responsibilities
  • Apply AI/ML methodologies for failure clustering, regression triage, anomaly detection, and coverage optimization
  • Develop and execute verification plans, defining coverage models and success metrics for mixed-signal IC blocks and subsystems
  • Build and maintain SystemVerilog/UVM testbenches, monitors, scoreboards, and automated checkers for mixed-signal verification
  • Perform functional coverage analysis and drive coverage closure toward tape-out readiness
  • Support silicon correlation by comparing simulation expectations against lab measurements and refining tests based on results
  • Participate in verification reviews, contributing technical analysis on coverage completeness and methodology improvements
  • Collaborate with design, applications, and test teams to ensure verification reflects real use-cases and operating conditions
Required Skills and Experience
  • MSEE or MSCE with 7+ years of IC verification experience, or PhD with 5+ years (BSEE/BSCE with equivalent depth considered)
  • Strong proficiency in SystemVerilog and UVM with experience building coverage-driven verification environments for mixed-signal products
  • Demonstrated ability to deliver verification through tape-out sign-off and production release
  • Solid Python scripting skills with experience applying AI/ML techniques to enhance verification productivity
  • Knowledge of formal verification, assertion-based methodology, and clock domain crossing analysis
  • Proficiency with Cadence verification tools: Xcelium (simulation), JasperGold (formal verification)
  • Excellent presentation, technical writing, and communication skills
Preferred Qualifications
  • Curiosity and initiative to explore AI/ML techniques and emerging tools that can transform verification workflows, with an enthusiasm for discovering more effective ways of working
  • Experience with mixed-signal and AMS verification techniques including Verilog-AMS, real-number modeling, and behavioral abstraction
  • Experience with gate-level simulation, SDF back-annotation, and post-layout verification
  • Strong analytical and problem-solving abilities
  • Ability to work effectively in a collaborative team environment
Technical Scope
  • Application of AI/ML-driven workflows for regression analytics, failure classification, and debug acceleration
  • Block-level and subsystem-level verification ownership from specification analysis through coverage closure
  • Mixed-signal verification environment development including analog behavioral modeling and digital-analog interface checking
  • Test plan authoring, coverage model implementation, and regression management
Collaboration and Impact
  • Share AI/ML-driven improvements to verification workflows and best practices with team members
  • Work with design, applications, and test teams to translate product requirements into verification coverage that reflects real operating conditions
  • Contribute to verification reviews and cross-team technical discussions

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: ExperiencedRequired Travel: NoShift Type: 1st Shift/Days