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Intelligent Systems Engineering Jobs (NOW HIRING)

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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Intelligent Systems Engineering information

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$60.5K

$142.1K

$196K

How much do intelligent systems engineering jobs pay per year?

As of Jul 29, 2026, the average yearly pay for 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.

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 cities are hiring for Intelligent Systems Engineering jobs? Cities with the most Intelligent Systems Engineering job openings:
What are the most commonly searched types of Intelligent Systems Engineering jobs? The most popular types of Intelligent Systems Engineering jobs are:
What states have the most Intelligent Systems Engineering jobs? States with the most job openings for Intelligent Systems Engineering jobs include:
Infographic showing various Intelligent Systems Engineering job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $142,070 per year, or $68.3 per hour.
Intelligent Systems Engineer

Intelligent Systems Engineer

Idahoan Foods

Lewisville, ID

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 hours ago


Idahoan Foods rating

8.3

Company rating: 8.3 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

56th of 434 rated food and drinks producers


Job description

Come join our table!

At Idahoan Foods, we bring people and families together by providing high quality, convenient food that delights and nourishes lives. As a top 20 household penetration CPG brand, when you join our table, you’re joining a team that aims high and values collaboration, continuous improvement, sustainable sourcing and innovation, active engagement in the community, and doing the right thing. We understand that it’s our team members that serve as the foundation of our ambitious future and we’re committed to knowing you, growing you, and celebrating you.

Job purpose

The primary responsibility of the Intelligent Systems Engineer (ISE) is developing, managing, and sustaining intelligent, connected, and data-driven systems across all Idahoan Foods facilities. The ISE will execute digital transformation initiatives by integrating automation, industrial data, artificial intelligence (AI), machine learning (ML), and smart technologies to improve safety, quality, reliability, operational efficiency, and decision-making.
The ISE will work closely with Operational Excellence, IT/OT, cybersecurity, plant maintenance, and operations leadership to ensure intelligent systems, control platforms, and data architectures meet internal and external expectations for performance, security, and scalability. This role bridges traditional automation and advanced digital capabilities to enable predictive, adaptive, and insight-driven manufacturing operations.

Main Responsibilities

  • Work closely with Operational Excellence team to implement systems designed to support supply chain cost savings initiatives
  • Develop and maintain standards for intelligent systems, smart manufacturing, and industrial data platforms across all Idahoan processing plants, including governance for AI, analytics, and digital solutions
  • Design, deploy, and support AI and machine learning solutions for predictive maintenance, anomaly detection, quality prediction, yield optimization, and process performance improvement
  • Architect and maintain secure industrial data ecosystems connecting PLCs, sensors, historians, MES, and enterprise or cloud analytics platforms
  • Support and evolve PLC, HMI, and control systems toward adaptive, autonomous, and decision-support-enabled operation
  • Monitor, maintain, and upgrade intelligent systems infrastructure, data pipelines, and supporting platforms
  • Work with IT and Security Engineers to create and implement remediation plans for known vulnerabilities and ensure secure-by-design IT/OT integration
  • Maintain intelligent systems architecture documentation including data flows, system diagrams, configurations, models, and security standards
  • Implement and maintain monitoring, alerting, dashboards, and performance metrics for intelligent systems to reduce downtime and optimize cost savings initiatives.
  • Support equipment start-ups, commissioning, system upgrades, and lifecycle management activities
  • Develop technology obsolescence planning for automation, data, and intelligent systems
  • Coordinate with and supervise outside contractors supporting digital and intelligent systems initiatives
  • Communicate system status, insights, and improvement opportunities to plants, end users, and leadership
  • Follow and enforce all GMP, food safety, cybersecurity, and plant safety rules

Qualifications/Required Skills

  • Education and/or Experience: Bachelor’s degree in Engineering, Computer Engineering, Data Engineering, or related field. Master’s degree highly desirable but not required. Experience delivering digital, data, AI, or intelligent system solutions in manufacturing or operations environments preferred.
  • Technical Competency: Working knowledge of PLCs, HMIs, industrial networks, and OT systems. Familiarity with AI/ML concepts, industrial data platforms, analytics, and visualization tools. Understanding of IT/OT integration, cybersecurity fundamentals, and system reliability.
  • Have a working knowledge and implementation Inductive Automation SCADA (Ignition Perspective)
  • Language Skills: Ability to read, comprehend, and compose instructions, correspondence, and technical documentation. Ability to conduct professional presentations and communicate complex technical concepts to operators, managers, and senior leaders.
  • Reasoning Ability: Strong analytical, quantitative, problem-solving, and systems-thinking skills. Ability to manage multiple initiatives simultaneously and make sound decisions with minimal direction.
  • Interpersonal Skills: Team-oriented, flexible, and effective in cross-functional collaboration.

Other Details

Work Environment: The work environment includes office and manufacturing plant settings with approximately 10–15% travel. Individual must be flexible to occasionally work overtime, weekends, or holidays. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Alignment with Core Values of the Company

  • Respect & Value Our People
  • Stay in Front of Change While Reducing Costs
  • Delight Our Customers
  • Food Quality & Safety

Benefits
Bonus Potential
Medical, Dental, Vision Insurance for full-time team members
PTO (Vacation, Sick, and Holidays) for full-time team members
401K match
Company paid disability and life insurance policies
Paid maternity and parental leave

Approach to Flexible Work
The majority of our roles are primarily located in one of our manufacturing facilities or in our corporate office in Idaho Falls, Idaho, offering us the ability to effectively collaborate, innovate, and develop the next leaders of Idahoan Foods.

While we want to capitalize on purposeful in-person days, we also value flexibility and appreciate that it can mean something different to everyone based on your unique circumstances. That’s why at Idahoan we focus on meaningful conversations between you and your manager to identify what works best for the business, team, your role, and your personal needs. Within our manufacturing workforce, we follow our process for time off requests and working within our attendance policy. Those same elements apply outside of manufacturing, but your position may offer some additional flexibility to work remotely at times.

Equal Opportunity
We are an equal opportunity employer and do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors.


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