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Intelligent Systems Engineering Jobs in California

S32

Software Engineer: ML Robotics Systems

Palo Alto, CA · On-site

$203K - $241K/yr

S32 is a venture capital firm investing at the frontiers of technology, seeking ML Robotics Systems Engineers who are passionate about building intelligent systems. The role involves making a ...

Shield AI

Staff Engineer, Systems (R4625)

San Diego, CA · On-site

$141K - $212K/yr

... with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT ... Ensure requirements are actionable by engineering teams and testable through defined metrics and ...

Shield AI

Staff Engineer, Systems (R4625)

San Diego, CA · On-site

... with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT ... Ensure requirements are actionable by engineering teams and testable through defined metrics and ...

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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.

Software Engineer: ML Robotics Systems

S32

Palo Alto, CA • On-site

$203K - $241K/yr

Full-time

Re-posted 17 days ago

Job description

Job Summary:
S32 is a venture capital firm investing at the frontiers of technology, seeking ML Robotics Systems Engineers who are passionate about building intelligent systems. The role involves making a significant impact and shaping the company's direction while advancing one's career.
Qualifications:
Required:
• Passionate about building intelligent, embodied systems that can operate in the real world.
Company:
Our goal is to accelerate the discovery, development, and distribution of revolutionary technologies that improve the human condition. Founded in 2017, the company is headquartered in Silicon Valley, CA, US, , with a team of 11-50 employees. The company is currently Early Stage.

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