ZipRecruiter

Log In

1

Algorithmic Engineer Jobs in Michigan (NOW HIRING)

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Collaborate closely with algorithms engineers to integrate AI inference data and configuration with power optimization algorithms * Optimize GPU utilization and inference performance across our ...

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Collaborate closely with algorithms engineers to integrate AI inference data and configuration with power optimization algorithms * Optimize GPU utilization and inference performance across our ...

Our Next Energy

Engineer - BMS Controls

Novi, MI · On-site

$78K - $101K/yr

Develop BMS controls and diagnostic algorithms to achieve desired functionality, robustness, and ... Perform all engineering tasks in defined lifecycle processes, methods, and practices, captured and ...

Optimal Inc.

Robotics Software Engineer

Warren, MI · On-site

Design and implement algorithms for sensor fusion and real-time processing * Collaborate with hardware engineers on PCB, power, and signal design to ensure seamless system integration * Debug, test ...

Optimal Inc.

Robotics Software Engineer

Warren, MI · On-site

Design and implement algorithms for sensor fusion and real-time processing * Collaborate with hardware engineers on PCB, power, and signal design to ensure seamless system integration * Debug, test ...

Our Next Energy Inc

Engineer - BMS Controls

Novi, MI · On-site

$78K - $101K/yr

Develop BMS controls and diagnostic algorithms to achieve desired functionality, robustness, and ... Perform all engineering tasks in defined lifecycle processes, methods, and practices, captured and ...

next page

Showing results 1-20

All JobsAlgorithmic Engineer JobsAlgorithmic Engineer Jobs in Michigan

Algorithmic Engineer information

See Michigan salary details

$51.9K

$97.3K

$176.9K

How much do algorithmic engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for algorithmic engineer in Michigan is $97,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,200.00 and $115,500.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior-level algorithmic engineers, especially those working in finance, technology, or specialized research roles, can earn $500,000 or more annually, often including bonuses and stock options. Achieving this level typically requires extensive experience, advanced skills in algorithms and programming, and working at top-tier companies or in high-demand industries.

What is the difference between Algorithmic Engineer vs Data Scientist?

AspectAlgorithmic EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related fields; programming skillsBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops algorithms for software, hardware, or embedded systems; often in tech or finance industriesAnalyzes data to extract insights; works in tech, finance, healthcare, and more
Employer & Industry UsageTech companies, finance firms, R&D departmentsTech companies, consulting firms, research institutions

While both roles require strong programming and analytical skills, Algorithmic Engineers focus on designing and implementing algorithms for systems and applications, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in tech environments but serve different primary functions.

Which 5 jobs will survive AI?

Algorithmic engineers are likely to continue thriving as AI advances because they develop and optimize algorithms that underpin AI systems. Jobs requiring complex problem-solving, creativity, and human judgment—such as data scientists, AI ethicists, cybersecurity specialists, healthcare professionals, and software developers—are also expected to persist due to their reliance on nuanced understanding and adaptability beyond automation. These roles often involve skills in programming, critical thinking, and domain expertise that are less easily replaced by AI.

What does an algorithm engineer do?

An algorithm engineer designs, develops, and optimizes algorithms to solve complex problems and improve system performance. They often work with data structures, programming languages, and tools like Python or C++, and may focus on areas such as machine learning, data analysis, or software development. Their role involves analyzing requirements, testing algorithms, and ensuring efficiency in real-world applications.

What engineers make 300,000 a year?

Senior engineers in fields such as software, data engineering, and machine learning can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working at large tech companies or in specialized roles. Compensation often includes base salary, bonuses, and stock options, and requires strong technical expertise and industry demand.
What are popular job titles related to Algorithmic Engineer jobs in Michigan? For Algorithmic Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Algorithmic Engineer jobs in Michigan look for? The top searched job categories for Algorithmic Engineer jobs in Michigan are:
What cities in Michigan are hiring for Algorithmic Engineer jobs? Cities in Michigan with the most Algorithmic Engineer job openings:
Algorithmic Engineer jobs near you
Infographic showing various Algorithmic Engineer job openings in Michigan as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $97,298 per year, or $46.8 per hour.
AI Infrastructure Engineer

AI Infrastructure Engineer

Utilidata

Ann Arbor, MI • On-site, Remote

$170K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago

Job description

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade, we have applied AI to the electric grid - bringing real-time visibility and power-flow control to complex energy infrastructure. Our Karman platform, built on a custom NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them.
The AI Infrastructure Engineer is responsible for designing, building, and owning the end-to-end infrastructure that serves Utilidata's AI and ML models across edge deployments, cloud environments, and data center integrations. They are also responsible for designing, building, and owning the integration of power data with AI inference software. This is Utilidata's first dedicated role of this kind, and will serve as the foundational function for how the company deploys and operates AI capabilities in production. The role requires deep technical expertise in ML model serving, distributed systems, and GPU infrastructure, with a strong emphasis on reliability, performance, and scalability. This position works cross-functionally with product, engineering, and data science teams and is open to fully remote candidates, with periodic travel expected for company retreats and key on-site engagements.
Responsibilities
  • Lead the design and build of Utilidata's AI inference platform - establishing architecture patterns, deployment standards, and operational practices that will scale with the company
  • Own end-to-end model serving infrastructure for Utilidata's AI infrastructure (on-prem and datacenter)
  • Build and maintain fault-tolerant, high-performance systems for serving AI models at scale, with a focus on low latency, reliability, and cost efficiency
  • Collaborate closely with algorithms engineers to integrate AI inference data and configuration with power optimization algorithms
  • Optimize GPU utilization and inference performance across our hardware fleet, including NVIDIA accelerators central to Utilidata's edge AI platform
  • Establish MLOps best practices including CI/CD pipelines for model deployment, monitoring, and rollback across environments
  • Contribute to infrastructure roadmap decisions, including build vs. buy tradeoffs, tooling selection, and platform evolution as the team grows

Minimum Qualifications
  • 5+ years of software engineering experience with a strong focus on AI infrastructure, backend systems, or distributed systems
  • Hands-on experience with AI model serving frameworks (e.g., vLLM, SGLang, Triton, TensorRT, TorchServe, or similar)
  • Understanding of container orchestration and cluster management (Kubernetes, Docker)
  • Experience deploying and operating infrastructure across both datacenter and on-prem environments
  • Strong knowledge of GPU workloads and the tradeoffs that come with them - you understand how inference differs from training, and why it matters
  • Proficiency in Python; C++, CUDA, Go, Rust a plus
  • Excellent communication skills and comfort working cross-functionally in a lean, fast-moving environment
  • Willingness to travel up to 10% of time

Enhanced Qualifications (Nice to Have)
  • Dynamo experience a plus
  • Experience with edge AI deployments or constrained compute environments
  • Familiarity with infrastructure as code (Terraform, Helm)
  • Experience with observability platforms (Datadog, Prometheus, Grafana)
  • Background in energy, utilities, or industrial IoT
  • Contributions to open-source ML infrastructure projects

Salary Range: $170,000 to $210,000 base compensation depending on experience plus stock options. Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands.
Location: This position can be performed remotely from anywhere in the United States.
Our Commitments:
Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws.
We are committed to:
  • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful
  • Empowering employees to solve problems and work together to make a difference
  • Providing mentorship and growth opportunities as part of a collaborative team
  • A flexible work environment with flexible paid time off
  • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

Apply