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Full Time Intelligent Systems Engineering Jobs (NOW HIRING)

Shield AI

Principal Engineer, Systems (R5048)

San Diego, CA · On-site

$200K - $300K/yr

... with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT ... Advanced degree in engineering or related field $200,000 - $300,000 a year #LI-DM2 #LF Full-time ...

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 ...

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Full Time Intelligent Systems Engineering information

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$60.5K

$142.1K

$196K

How much do full time intelligent systems engineering jobs pay per year?

As of Jun 19, 2026, the average yearly pay for full time intelligent systems engineering in the United States is $142,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $173,000.00 per year, depending on experience, location, and employer.

Is AI replacing ECE jobs?

Full Time Intelligent Systems Engineering roles often involve developing and implementing AI technologies, but AI is more likely to augment rather than replace ECE jobs. Engineers with skills in machine learning, programming, and systems integration are in demand to design, maintain, and improve AI systems, making their expertise essential in this evolving field.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or systems engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries like technology or aerospace. Executive or lead engineering roles often include compensation packages that reach or exceed this level, particularly when combined with bonuses and stock options.

What engineer makes $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, often through senior roles, bonuses, or stock options. These positions typically require advanced skills, extensive experience, and often work in high-demand industries like technology or aerospace.

What is the difference between Full Time Intelligent Systems Engineering vs Robotics Engineering?

AspectFull Time Intelligent Systems EngineeringRobotics Engineering
Required CredentialsBachelor's or higher in Engineering, Computer Science, or related fields; certifications in AI or systems integrationBachelor's or higher in Mechanical, Electrical, or Robotics Engineering; certifications in automation or control systems
Work EnvironmentResearch labs, tech companies, or industrial settings focusing on AI and intelligent systemsManufacturing plants, automation facilities, or robotics labs
Industry UsageAI-driven systems, autonomous vehicles, smart infrastructureRobotic systems, automation equipment, industrial robots

Full Time Intelligent Systems Engineering focuses on designing and developing AI-powered systems and smart technologies, often involving software and system integration. Robotics Engineering centers on creating physical robotic devices and automation hardware. While both roles require engineering backgrounds, Intelligent Systems Engineers emphasize AI and software, whereas Robotics Engineers focus on mechanical and electrical components.

What is an intelligent systems engineering salary?

The salary for a full-time 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 may earn higher salaries, especially in high-demand industries or with advanced certifications.
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Full Time Intelligent Systems Engineering jobs near you
Senior Manager - Intelligent Systems Engineering

Senior Manager - Intelligent Systems Engineering

Toyota Motor Sales, U.S.A., Inc.

Plano, TX • On-site

Full-time

Medical, Retirement, PTO

Posted 18 days ago

Toyota rating

7.3

Company rating: 7.3 out of 10

Based on 853 frontline employees who took The Breakroom Quiz

22nd of 44 rated automakers

Job description

Overview
Who we are
Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We're looking for talented team members who want to Dream. Do. Grow. with us.
To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time.
This position is based out of Toyota Headquarters in Plano, TX
Who we're looking for
Toyota is looking for team members who are passionate about technology and interested in joining a collaborative and highly motivated team as a Senior Manager - Intelligent Systems Engineering.
The primary responsibility of this role is to lead a hands-on engineering function that accelerates the practical adoption of AI, automation, and agentic capabilities across engineering teams. This role turns emerging AI opportunities into reusable patterns, prototypes, and secure implementation guidance that improve engineering productivity and delivery quality.
Reporting to the General Manager - Cloud Computing Engineering, the person in this role will join the Engineering, Cloud, and Software Development team to build and maintain secure, scalable, and resilient cloud infrastructure and systems.
What you'll be doing
  • Identify high-value opportunities to apply AI, automation, and agent-based workflows across the engineering stack and build working prototypes that demonstrate measurable engineering value
  • Define practical patterns for AI agents across planning, coding, testing, security review, deployment, and operations, with clear human-in-the-loop checkpoints
  • Translate prototypes into reusable patterns, reference implementations, and adoption guidance that move teams beyond isolated experiments
  • Partner with security & architecture teams to define safe AI implementation guardrails for identity, access, data exposure, prompt and context handling, logging, and auditability
  • Lead, mentor, and develop a team of engineers; drive adoption across DevEx, platform engineering, security, and product engineering through credibility and execution
  • Incubate emerging ideas, validate technical feasibility, and transition mature capabilities to long-term owning teams
  • Drive measurable improvements in developer productivity, delivery quality, and engineering speed while reducing duplication across teams experimenting with AI

What you bring
  • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent years of experience (an additional 4 years if no degree)
  • 10+ years of software engineering experience
  • 3+ years leading engineering teams in AI, automation, platform engineering, DevOps, or cloud engineering
  • Hands-on experience building or enabling internal developer platforms, automation frameworks, or reusable engineering capabilities at enterprise scale
  • Experience with AI-assisted development tools, agent frameworks, CI/CD platforms, cloud-native architecture, and secure implementation patterns (identity, access, secrets, auditability)
  • Demonstrated ability to drive adoption across cross-functional teams through influence, credibility, and practical execution

Added bonus if you have
  • Master's degree in Computer Science, Engineering, or related field
  • 12+ years of software engineering experience
  • 5+ years in a senior engineering leadership role at a large enterprise
  • Hands-on experience with agent frameworks (e.g., LangChain, AutoGen, Semantic Kernel), LLM platforms (AWS Bedrock, Azure OpenAI, Anthropic Claude), evaluation harnesses, and Model Context Protocol (MCP) or similar secure tool-use patterns

What we'll bring
During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:
  • A work environment built on teamwork, flexibility, and respect
  • Professional growth and development programs to help advance your career, as well as tuition reimbursement
  • Team Member Vehicle Purchase Discount
  • Toyota Team Member Lease Vehicle Program (if applicable)
  • Comprehensive health care and wellness plans for your entire family
  • Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota, regardless of whether you contribute
  • Paid holidays and paid time off
  • Referral services related to prenatal services, adoption, childcare, schools, and more
  • Tax-Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)
  • Relocation Assistance (if applicable)

Belonging at Toyota
Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members' efforts to dream, do and grow without questioning that they belong.
Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.
Have a question, need assistance with your application or do you require any special accommodations? Please send an email to talent.acquisition@toyota.com.

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