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Intelligent Systems Engineering Jobs in California

Hark

Operating System Architect

San Jose, CA · On-site

$120K - $300K/yr

... a new era of intelligent systems. About the Role We're looking for a Principal Embedded OS ... This role spans hands-on systems engineering up through strategic technical leadership and team ...

Hark

Operating System Architect

San Jose, CA

$120K - $300K/yr

... a new era of intelligent systems. About the Role We're looking for a Principal Embedded OS ... This role spans hands-on systems engineering up through strategic technical leadership and team ...

Aptiv

System Engineer - OS Kernel

Walnut Creek, CA · On-site

$100K - $135K/yr

System Engineer - OS Kernel Location: Walnut Creek, CA ABOUT WIND RIVER Wind River is a global ... intelligent systems. For more than four decades, the company has been an innovator and pioneer ...

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Intelligent Systems Engineering information

What do intelligent systems engineers do?

Intelligent systems engineers design, develop, and implement software and hardware solutions that enable machines to perform tasks requiring human intelligence, such as perception, decision-making, and learning. They work with artificial intelligence, machine learning, robotics, and data analysis tools to create autonomous systems and improve existing technologies. Strong programming skills and knowledge of algorithms are essential in this role.

What is an intelligent systems engineering salary?

The salary for an intelligent systems engineer typically ranges from $80,000 to $130,000 annually, depending on experience, education, and location. Professionals with specialized skills in AI, machine learning, and robotics tend to earn higher salaries, especially in tech hubs or industries with high demand for automation and intelligent solutions.

What is an Intelligent Systems Engineering job?

An Intelligent Systems Engineering job involves designing, developing, and optimizing smart systems that integrate AI, machine learning, and advanced computing. Professionals in this field work on applications such as autonomous systems, robotics, cybersecurity, and biomedical devices. They use data-driven approaches and computational models to enhance decision-making and automation. These roles exist in industries like healthcare, automotive, aerospace, and IoT.

What are the key skills and qualifications needed to thrive in the Intelligent Systems Engineering position, and why are they important?

Successful careers in Intelligent Systems Engineering require a strong background in computer science, control systems, mathematics, and often an advanced degree in engineering or a related field. Proficiency with programming languages (such as Python, C++, or MATLAB), experience with machine learning frameworks, and familiarity with embedded systems and sensor integration are typically expected. Strong analytical thinking, problem-solving skills, and effective collaboration are essential soft skills in this position. These competencies enable professionals to design, develop, and optimize complex intelligent systems that perform reliably in real-world applications.

What engineers make $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data science, or systems engineering can earn $500,000 or more annually, especially in senior or executive roles at large technology companies. These positions often require advanced skills, certifications, and extensive industry experience, and may include bonuses and stock options that contribute to total compensation.

What engineers make $200,000 a year?

Engineers in specialized fields such as software engineering, petroleum engineering, and certain roles in aerospace or data science can earn $200,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Senior-level positions often require advanced degrees, certifications, and extensive expertise in their domain.

What are the main challenges faced when working as an Intelligent Systems Engineer?

Intelligent Systems Engineers often encounter challenges such as integrating diverse hardware and software components, ensuring system reliability, and optimizing performance under real-world conditions. They must stay current with rapidly evolving technologies and continuously adapt their solutions to meet new requirements or constraints. Collaboration across multidisciplinary teams, including software developers, hardware engineers, and data scientists, is common and essential for project success. Tackling these challenges develops a well-rounded skill set and provides significant opportunities for professional growth and innovation.

What are the most commonly searched types of Intelligent Systems Engineering jobs in California? The most popular types of Intelligent Systems Engineering jobs in California are:
What are popular job titles related to Intelligent Systems Engineering jobs in California? For Intelligent Systems Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Intelligent Systems Engineering jobs in California look for? The top searched job categories for Intelligent Systems Engineering jobs in California are:
Intelligent Systems Engineering jobs near you
Infographic showing various Intelligent Systems Engineering job openings in California as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Principal Product Manager - AI & Intelligent Manufacturing Systems

Principal Product Manager - AI & Intelligent Manufacturing Systems

Fictiv

Oakland, CA • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 3 days ago

Job description

About MISUMI Americas
MISUMI Americas, a division of MISUMI Group, is a leading provider of standard, configurable, and custom manufacturing solutions. By integrating a vast catalog of components with a world-class digital manufacturing platform, MISUMI Americas empowers engineers and procurement teams to accelerate innovation across the entire product lifecycle. With operations in the San Francisco Bay Area and Chicago, the company serves as a vital partner for the most innovative companies in the Americas.
Impact In This Role
As our Principal Product Manager - AI & Intelligent Manufacturing Systems, you'll serve as a strategic and technical thought leader driving the vision, roadmap, and execution of AI-powered capabilities across MISUMI Americas Manufacturing Quoting and Fulfillment Platform. This is a highly visible, high-leverage role - one that shapes how AI and automation become foundational to MISUMI Americas operating system for new product development (NPD). You'll partner directly with our AI R&D, data science, and platform architecture teams to define the core intelligence layer that powers quoting, supply orchestration, and manufacturing decision-making at scale.
You will own and evolve the product strategy that fuses advanced AI models, data-driven automation, and manufacturing domain intelligence into a cohesive system that sets new standards for operational efficiency, precision, and speed.
This role is ideal for a seasoned product leader with experience bringing AI-first enterprise platforms to life - someone equally comfortable discussing model architectures and data pipelines as they are business value and market differentiation.
You will report to the VP, Product Management.
Areas of Responsibility:
1. AI Technology Strategy & Product Vision
  • Define the long-term AI technology strategy for MISUMI Americas digital manufacturing platform - including where and how to leverage LLMs, machine learning, computer vision, and reinforcement learning
  • Partner with AI research and engineering leadership to translate R&D advances into scalable, customer-facing capabilities
  • Identify and prioritize core AI product opportunities - from intelligent quoting and auto-classification of 3D models to predictive supplier matching and adaptive routing engines
  • Drive the architectural vision for MISUMI Americas AI intelligence layer, ensuring alignment between data infrastructure, ML systems, and platform integration
  • Evangelize the role of AI within the organization - educating teams on capabilities, limitations, and ethical deployment of intelligent systems
2. Deep Technical Product Leadership
  • Serve as the product owner for AI infrastructure and model lifecycle management, including data acquisition, training, deployment, monitoring, and feedback loops
  • Partner with ML engineers and data scientists to design human-in-the-loop workflows that continuously improve system accuracy and explainability
  • Own the AI feature pipeline: define use cases, establish model performance metrics (precision, recall, latency, cost), and measure impact on business KPIs (quote accuracy, margin, lead time)
  • Collaborate with platform engineering to ensure scalability, modularity, and compliance in AI integrations
  • Drive responsible AI practices, including fairness, transparency, and auditability in model-driven decision systems
3. Solutions Integration & Application Development
  • Lead the development of AI-driven application modules - such as automated quoting, manufacturability assessment, supplier recommendation, and production forecasting
  • Work with product teams across quoting, fulfillment, and partner management to identify where intelligence adds differentiated value
  • Ensure AI and automation capabilities are embedded seamlessly into MISUMI Americas core user experiences and operational workflows
  • Act as a bridge between AI technology development and solution commercialization, ensuring innovations move efficiently from lab to production
4. Metrics, Experimentation, and Validation
  • Define the performance framework for all AI-enabled systems, including model metrics (accuracy, throughput, latency), business KPIs (margin improvement, cycle time reduction), and adoption metrics
  • Lead data-informed experimentation programs to validate new model capabilities and measure real-world impact before scaling
  • Champion continuous learning loops between R&D, product, and operations teams
5. Cross-Functional & Executive Influence
  • Partner with senior leadership across Product, Engineering, Data, and Operations to align AI investments with strategic business outcomes
  • Influence architecture, resource allocation, and data strategy decisions that affect MISUMI Americas AI roadmap
  • Mentor and guide other product managers in the organization on AI-first thinking and technical product management best practices
  • Represent MISUMI Americas externally - at conferences, customer forums, and AI ecosystem events - as a thought leader in intelligent manufacturing systems

Experience/Qualifications:
Required
  • 10+ years of product management experience, including 4+ years leading AI or ML-driven products from research to production
  • Startup experience with demonstrated 0-to-MVP-to-1 product ownership; ideally at a company that achieved a successful exit (acquisition or IPO)
  • Proven track record building AI-first SaaS or enterprise systems, ideally in manufacturing, supply chain, logistics, or industrial automation
  • Deep understanding of AI technologies, including LLMs, supervised/unsupervised ML, computer vision, or predictive analytics pipelines
  • Demonstrated success collaborating with AI research teams and data engineering to operationalize models into scalable, production-grade systems
  • Fluency in data infrastructure concepts (feature stores, inference APIs, model retraining, observability)
  • Strong technical intuition and ability to engage deeply with engineers and data scientists on architecture, experimentation, and trade-offs.
  • Analytical rigor and comfort with experimentation frameworks, A/B testing, and quantitative product measurement
  • Exceptional communication and influence skills - able to connect technical complexity to business impact and inspire alignment across functions
Preferred
  • Domain experience in manufacturing, supply chain, or CAD/CAM ecosystems
  • Experience designing or managing systems with human-in-the-loop AI, active learning, or automated decision-support models
  • Working knowledge of product data ontologies, graph databases, or knowledge modeling for industrial applications
  • Track record of thought leadership or published work on AI strategy, ML productization, or applied AI ethics

Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee routinely is required to sit; walk; talk and hear; use hands to keyboard, fingers, handle, and feel; stoop, kneel, crouch, twist, crawl, reach, and stretch.
Perks and Benefits
  • Competitive medical, dental, and vision insurance
  • 401K plan
  • Parental leave programs
  • Paid volunteer days
  • And much, much more!

MISUMI Americas is continuing to expand our remote US workforce. Applicants from the following states are eligible to apply:
Arizona (AZ), California (CA), District of Columbia, (DC), Delaware (DE), Florida (FL), Georgia (GA), Hawaii (HI), Iowa (IA), Illinois (IL), Indiana (IN), Kansas (KS), Massachusetts (MA), Maryland (MD), Michigan (MI), Minnesota (MN), Missouri (MO), North Carolina (NC), New Hampshire (NH), New Jersey (NJ), New York (NY), Nevada (NV), Ohio (OH), Oregon (OR), South Carolina (SC), Texas (TX), Tennessee (TN), Utah (UT), Virginia (VA), Washington (WA), West Virginia (WV), Wisconsin (WI), Wyoming (WY)
Salary Range: $210,000 to $230,000 per year, based upon experience
Interested in learning more? We look forward to hearing from you soon.
We're actively seeking teammates who:
  • Bring diverse perspectives and experience to our culture and company.
  • Excel at being part of a strong, empathetic team.
  • Thrive in an environment emphasizing respect, honesty, collaboration, and growth.
  • Have an 'always learning' mindset that celebrates learning, not just wins.
  • Help us continue to build a world-class organization that values the contributions of all of our teammates

We encourage applications from members of underrepresented groups, including but not limited to women, members of the LGBTQ community, people of color, people with disabilities, and veterans.

Apply