1

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 ...

Support board bring-up, debugging, and signal analysis using lab instrumentation and simulation ... UAV, robotics, aerospace, or avionics experience. * Familiarity with IPC or avionics standards.

Support board bring-up, debugging, and signal analysis using lab instrumentation and simulation ... UAV, robotics, aerospace, or avionics experience. * Familiarity with IPC or avionics standards.

Support board bring-up, debugging, and signal analysis using lab instrumentation and simulation ... UAV, robotics, aerospace, or avionics experience. * Familiarity with IPC or avionics standards.

Showing results 41-60

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?

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 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 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 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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 2% Temporary, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Principal Engineer, Digital Verification Engineering

Analogdevices

Chandler, AZ • On-site

Full-time

Re-posted yesterday


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.

As a Principal Design Verification Engineer, you will own verification strategy and closure for complex analog and mixed-signal ICs, from verification planning through tape-out sign-off. You will drive the adoption of AI/ML techniques to improve regression efficiency, debug throughput, and coverage closure. Your work will span multiple business units, ensuring product quality and accelerating delivery across ADI's next-generation mixed-signal and power management products.

Key Responsibilities
  • Drive adoption of AI/ML methodologies for failure clustering, regression triage, anomaly detection, and intelligent coverage optimization
  • Define and own verification strategy, plans, and success metrics across block, top-level, and system contexts for mixed-signal ICs
  • Build and scale mixed-signal verification infrastructure including reusable SystemVerilog/UVM testbenches, monitors, scoreboards, and automated checkers
  • Lead functional coverage planning, closure analysis, and sign-off for tape-out readiness
  • Drive silicon correlation by comparing simulation expectations against lab measurements, refining models and tests based on measured behavior
  • Lead verification architecture and methodology reviews, influencing best practices across projects
  • Collaborate with design, applications, and test teams to ensure verification reflects real use-cases, operating modes, and corner scenarios
Required Skills and Experience
  • MSEE or MSCE with 10+ years of IC verification experience, or PhD with 8+ years (BSEE/BSCE with equivalent depth considered)
  • Expert-level proficiency in SystemVerilog and UVM with a track record of building coverage-driven verification environments for mixed-signal products
  • Track record of owning end-to-end verification readiness from planning through tape-out sign-off and production release
  • Strong Python scripting skills with experience applying AI/ML techniques to enhance verification productivity
  • Deep 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
  • 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
  • Background verifying power management and interface-rich mixed-signal devices across multiple power domains
  • Strong analytical and problem-solving abilities
  • Ability to work effectively in a collaborative team environment
Technical Scope
  • Development and deployment of AI/ML-driven workflows for regression analytics, failure classification, and debug acceleration
  • Full verification ownership from specification analysis through coverage closure and tape-out sign-off
  • Mixed-signal verification environment architecture including analog behavioral modeling and digital-analog interface checking
  • Verification methodology definition including test plan authoring, coverage model design, and regression management
Collaboration and Impact
  • Champion AI/ML-driven improvements to verification workflows, sharing results and best practices across teams
  • Partner with design, applications, and test teams to translate product requirements into verification coverage that reflects real operating conditions
  • Contribute to organizational knowledge through verification reviews, methodology forums, and cross-team technical exchanges

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: Yes, 10% of the timeShift Type: 1st Shift/Days