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Model Systems Engineering Jobs in California (NOW HIRING)

$127K - $236K/yr

This position requires knowledge and experience with Systems Engineering application, including Model Based Systems Engineering, in product development efforts for advanced propulsion systems, with a ...

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Senior Systems Engineer

Fremont, CA · On-site

$114K - $156K/yr

Strong proficiency with V-model systems engineering approaches, adapted for rapid development * Expert-level requirements authoring, traceability management, and interface definition * Proven ability ...

Senior Systems Engineer

Fremont, CA · On-site +1

$114K - $156K/yr

Strong proficiency with V-model systems engineering approaches, adapted for rapid development * Expert-level requirements authoring, traceability management, and interface definition * Proven ability ...

Senior Systems Engineer

Fremont, CA · On-site

$114K - $156K/yr

Strong proficiency with V-model systems engineering approaches, adapted for rapid development * Expert-level requirements authoring, traceability management, and interface definition * Proven ability ...

Model Based Systems Engineer III Level: Senior Location: San Diego, CA Telework: Hybrid remote ... We provide full spectrum systems and systems-of-systems engineering and integration services and ...

Model Based Systems Engineer III Level: Senior Location: San Diego, CA Telework: Hybrid remote ... We provide full spectrum systems and systems-of-systems engineering and integration services and ...

Position: Model Based Systems Engineer II Level: Mid Location: San Diego, CA Telework: Hybrid ... We provide full spectrum systems and systems-of-systems engineering and integration services and ...

Develop system-level verification and validation plans, including test strategies, acceptance criteria, and pass/fail definitions aligned with the systems engineering V-model. * Lead technical trade ...

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Model Systems Engineering information

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

To thrive as a Model Systems Engineer, you need a strong background in systems engineering principles, mathematical modeling, and often a relevant degree in engineering or computer science. Familiarity with modeling tools like MATLAB/Simulink, SysML, and simulation software, as well as knowledge of systems engineering standards such as INCOSE certification, is typically required. Critical thinking, problem-solving abilities, and effective communication skills set standout professionals apart in this field. These competencies ensure accurate system representations, effective collaboration, and successful project outcomes in complex engineering environments.

What is the difference between Model Systems Engineering vs Systems Engineer?

AspectModel Systems EngineeringSystems Engineer
Required CredentialsBachelor's or higher in engineering, certifications in systems modeling (e.g., INCOSE)Bachelor's or higher in engineering or related field, certifications vary
Work EnvironmentDesign and develop system models, simulations, and architectureDesign, analyze, and optimize complex systems in various industries
Employer & Industry UsagePrimarily in aerospace, defense, and systems integration firmsWidely across technology, manufacturing, aerospace, and defense sectors

Model Systems Engineering focuses on creating detailed system models and simulations to analyze system behavior, while Systems Engineers oversee the entire system lifecycle, ensuring integration and functionality. Both roles require similar credentials but differ in scope and daily tasks.

How does a Model Systems Engineer typically collaborate with cross-functional teams during a project's lifecycle?

As a Model Systems Engineer, you will frequently work alongside software developers, hardware engineers, project managers, and quality assurance specialists to ensure that system models accurately reflect project requirements and constraints. Collaboration often involves participating in design reviews, integrating feedback, and updating system models to accommodate changes in project scope. Effective communication and the ability to translate technical details between different teams are crucial, as your models serve as the foundation for development and decision-making throughout the project. This collaborative environment fosters both technical and interpersonal growth, allowing you to develop a holistic understanding of complex systems.

What is Model Systems Engineering?

Model Systems Engineering is an interdisciplinary approach that uses models to support the design, analysis, and management of complex engineering systems. It involves creating abstract representations (models) of systems to better understand their behavior, requirements, and interactions throughout the system's lifecycle. This approach helps engineers identify potential problems early, optimize system performance, and ensure that the final product meets its intended goals. Model Systems Engineering is widely used in industries such as aerospace, automotive, defense, and software engineering.
What are popular job titles related to Model Systems Engineering jobs in California? For Model Systems Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Model Systems Engineering jobs in California look for? The top searched job categories for Model Systems Engineering jobs in California are:
What cities in California are hiring for Model Systems Engineering jobs? Cities in California with the most Model Systems Engineering job openings:

Senior Software Engineer, World Model Systems Engineering - Autonomous Vehicles

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 19 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 246 rated software companies


Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
The Automotive Vehicles team is searching for a creative and expert Systems Engineer to help us expand NVIDIA's autonomous vehicle solution. You will participate in a focused effort to productize ground-breaking perception solutions that will redefine the world of transportation and the growing field of self-driving cars. You will work with a world-wide team of systems engineers, AI applied researchers and software engineers in building world-class perception and mapping and localization solutions, while achieving or exceeding all NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun and relevant!
What you will be doing:
  • Develop perception, mapping and localization system requirements from use cases and customer requirements
  • Perform analysis to define performance requirements and allocate performance budgets
  • Plan validation and formulate test cases and critical metrics to ensure compliance with requirements
  • Test performance and triage results
  • Perform detailed analysis and develop dashboards
  • Work closely with hardware engineering, safety, developers and product teams to ensure we build the right product
  • Find innovative solutions to constantly improve our processes
  • Establish relationships with all relevant partners across the organization

What we need to see:
  • MS, or PhD in Engineering, Physics, Computer Science, Data Science or another related field (or equivalent experience)
  • 8+ years systems engineering experience on complex systems, systems analysis (e.g. error budget creation, modeling of scenarios), data analysis, and statistical analysis
  • Experience with verification and validation of world model stacks
  • Experience with VLMs, LLMs and agentic workflows for purposes of automated triage
  • Data strategy definition
  • Understanding of failure analysis methodologies such as Fault Tree Analysis (FTA) and MTBF decomposition
  • Strong leadership and interpersonal skills, with the ability to drive alignment across large organizations
  • Proficiency with SQL and Python or C++

Ways to stand out from the crowd:
  • Experience with autonomous vehicles and/or machine learning, computer vision
  • You have experience working with large datasets, data science, analytics
  • Software engineering experience

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 28, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
#deeplearning

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993