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Senior Algorithm Engineer Jobs in Utica, MI (NOW HIRING)

Senior AI Engineer - SFL Scientific

Detroit, MI · On-site

$103K - $142K/yr

... algorithm scalability and deployment based on agile business priorities and initiatives ... Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists ...

Designs and implements state-of-the-art state estimation algorithms that can find the pose of the ... Engineering, Computer Engineering, Computer Science or related degree field and six (6) months of ...

Senior Defense Software Engineer

Troy, MI · On-site

$114K - $151K/yr

The Defense Senior Software Engineer will be responsible for developing software for internal ... algorithms and systems • Capable of planning, estimating, scheduling, and coordinating technical ...

Senior Controls & Instrumentation Engineer

Detroit, MI · On-site

$96K - $126K/yr

Advance Solutions is looking for a Senior-Level Controls & Instrumentation Engineer to support ... algorithms, control transfer function realizations, and process simulation. * An ability to lead ...

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Showing results 1-20

Senior Algorithm Engineer information

See Utica, MI salary details

$54.3K

$115.5K

$167.4K

How much do senior algorithm engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for senior algorithm engineer in Utica, MI is $115,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,300.00 and $130,900.00 per year, depending on experience, location, and employer.

What is the difference between Senior Algorithm Engineer vs Data Scientist?

AspectSenior Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, EE, or related; strong math and programming skillsBachelor's or Master's in CS, Statistics, or related; strong analytical and programming skills
Work EnvironmentDevelops algorithms for software, hardware, or embedded systems in tech companiesAnalyzes data to extract insights, often in tech, finance, or healthcare sectors
Industry UsageCommon in AI, robotics, and software developmentPrevalent in analytics, machine learning, and business intelligence

While both roles require strong programming and analytical skills, Senior Algorithm Engineers focus on designing and optimizing algorithms for technical systems, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in AI and machine learning projects but serve different primary functions within organizations.

What are some common challenges faced by Senior Algorithm Engineers when deploying algorithms into production environments?

Senior Algorithm Engineers often encounter challenges such as ensuring that algorithms are both scalable and efficient when integrated into real-time systems. Balancing model accuracy with computational resource constraints is a frequent task, as well as addressing data inconsistencies and managing version control for iterative algorithm updates. Collaboration with software engineers and data engineers is essential to ensure smooth deployment, monitor performance, and quickly resolve any production issues. Staying updated with the latest frameworks and best practices also helps in overcoming these challenges.

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

To thrive as a Senior Algorithm Engineer, you need advanced proficiency in mathematics, computer science, and algorithm design, usually supported by a relevant degree and extensive experience in the field. Expertise with programming languages such as Python or C++, proficiency with machine learning libraries, and familiarity with version control systems like Git are commonly required. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas clearly help set top candidates apart. These skills are crucial for developing robust, efficient solutions and collaborating effectively on challenging technical projects.

What does a Senior Algorithm Engineer do?

A Senior Algorithm Engineer is responsible for designing, developing, and optimizing complex algorithms that solve technical problems or enhance product performance. They often work with large datasets, machine learning models, or mathematical techniques to create efficient solutions. In addition to coding, they may collaborate with cross-functional teams, review the work of junior engineers, and help set the technical direction for algorithm development projects. Their expertise ensures that products and systems run efficiently and accurately.
Infographic showing various Senior Algorithm Engineer job openings in Utica, MI as of July 2026, with employment types broken down into 3% Locum Tenens, 67% Full Time, 24% Part Time, 2% Contract, and 4% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $115,457 per year, or $55.5 per hour.
Senior Vehicle Motion Controls Platform Control Design Engineer

Senior Vehicle Motion Controls Platform Control Design Engineer

General Motors

Milford, MI • Hybrid

$85K - $112K/yr

Full-time

Re-posted 20 days ago


General Motors rating

8.0

Company rating: 8.0 out of 10

Based on 309 frontline employees who took The Breakroom Quiz

6th of 44 rated automakers


Job description

Job Description

The Role:

Join General Motors at an exciting time of transformation in vehicle motion control! We are focused on building a culture of inclusion, innovation, and collaboration. Our teams work in flexible, tech-forward environments, with opportunities to develop cutting-edge control and estimation algorithms that impact real-world vehicle systems.

As a Senior Vehicle Motion Controls Platform Software Design Engineer, you will design and implement advanced control and estimation algorithms for vehicle motion systems, including steering, braking, propulsion, rear steering, and active aerodynamics.

You will work on model-based design, simulation, and algorithm development to support the design of robust, modular, and high-performance control systems. This role emphasizes strong control theory and estimation expertise and is open to candidates from robotics, aerospace, or related domains with proven technical ability in controls, estimation, or mechatronics.

This position is ideal for engineers who want to apply deep technical knowledge in vehicle motion systems and contribute to innovative solutions while growing their experience in automotive vehicle dynamics.

What You'll do:

  • Design and implement vehicle motion control and estimation algorithms across multiple domains.
  • Apply model-based design and simulation workflows to develop and validate control and estimation strategies.
  • Support integration and testing in simulation environments (CarSim, CarMaker, Simulink) and Hardware-in-the-Loop (HIL) setups.
  • Collaborate with cross-functional teams and deliver technical documentation, reports, and presentations.
  • Participate in design reviews and contribute to process improvements and technical innovation.

Core Expertise Areas:

Control Strategy:

  • Solid foundation in classical control methods (PID, state feedback, observers).
  • Knowledge and experience with advanced control strategies such as adaptive control, model predictive control (MPC), learning-based MPC, and ML/AI-based control approaches.

Estimation and Fusion:

  • Strong knowledge of state estimation and observer design.
  • Experience with sensor fusion methods, including Kalman filter variations (EKF, UKF, particle filters).
  • Understanding of system identification and parameter estimation in dynamic systems.

Your Skills & Abilities (Required Qualifications)

  • MSc or PhD in Controls, Robotics, Aerospace, Mechanical, Electrical Engineering or equivalent degree with relevant experience.
  • 5+ year of relevant experience
  • Strong analytical and problem-solving skills.
  • Demonstrated ability to deliver clear technical reports and presentations.
  • Excellent collaboration and communication skills.
  • Valid driver's license for occasional test support.

What Will Give You A Competitive Edge (Preferred Skills)

  • Experience writing and understanding software/hardware requirements and interfaces, with exposure to tools such as DOORS, DNG, JAMA, or equivalent.
  • Familiarity with automotive product release and specification processes.
  • Knowledge of related automotive systems (powertrain, driveline, CAN/LIN networks).
  • Experience with advanced test setups (dSPACE HiL, DiL) and/or in-vehicle track testing.
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908