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Probabilistic Risk Analysis Engineer Jobs in Michigan

FEDITC LLC

Information Assurance Engineer

Warren, MI · On-site

FEDITC is seeking an Information Assurance Engineer to work in Warren, MI . A United States ... The contractor shall support security planning, assessment, risk analysis, and risk management. The ...

FEDITC LLC

Information Assurance Engineer

Warren, MI · On-site

FEDITC is seeking an Information Assurance Engineer to work in Warren, MI . A United States ... The contractor shall support security planning, assessment, risk analysis, and risk management. The ...

IMI Plc - Legacy Precision

Quality Engineer

Saline, MI · On-site

$90K - $105K/yr

The Quality Engineer will utilize advanced, analytical tools and techniques to define, quantify ... SPC, Six Sigma, Risk Analysis, FMEA, Design of Experiments (DOE), Gauge Repeatability ...

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All JobsProbabilistic Risk Analysis Engineer JobsProbabilistic Risk Analysis Engineer Jobs in Michigan

Probabilistic Risk Analysis Engineer information

See Michigan salary details

$33.1K

$101K

$166.9K

How much do probabilistic risk analysis engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for probabilistic risk analysis engineer in Michigan is $100,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,300.00 and $132,000.00 per year, depending on experience, location, and employer.

What is a Probabilistic Risk Analysis Engineer job?

A Probabilistic Risk Analysis Engineer evaluates and quantifies risks in complex systems using statistical methods and mathematical models. They assess uncertainties, predict potential failures, and recommend mitigation strategies for industries such as aerospace, nuclear energy, and finance. Their work involves analyzing data, running simulations, and developing probabilistic models to improve safety, reliability, and decision-making.

What are common challenges faced by Probabilistic Risk Analysis Engineers, and how do they overcome them?

Probabilistic Risk Analysis Engineers often face the challenge of working with incomplete or uncertain data while needing to deliver precise risk assessments for critical systems. They overcome this by employing advanced statistical methods, sensitivity analyses, and by collaborating with subject matter experts across engineering, safety, and operations teams to refine models and assumptions. Clear communication is essential, as engineers must translate technical results into actionable insights for decision-makers. Staying current with industry standards and continuously improving modeling techniques also helps them address evolving project requirements. This dynamic environment supports ongoing skill development and offers opportunities for professional growth in reliability, safety, and systems engineering.

What are the key skills and qualifications needed to thrive in the Probabilistic Risk Analysis Engineer position, and why are they important?

To thrive as a Probabilistic Risk Analysis Engineer, you need a strong background in engineering, mathematics, and statistics, often supported by a relevant degree and experience in quantitative risk assessment. Familiarity with Monte Carlo simulation tools, reliability software (such as @RISK or ReliaSoft), and professional certifications like Professional Engineer (PE) or Certified Reliability Engineer (CRE) are highly valuable. Strong analytical thinking, attention to detail, and the ability to clearly communicate complex findings to diverse stakeholders are crucial soft skills. These competencies ensure accurate risk modeling and effective collaboration with multidisciplinary teams in high-stakes engineering projects.

What are popular job titles related to Probabilistic Risk Analysis Engineer jobs in Michigan? For Probabilistic Risk Analysis Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Probabilistic Risk Analysis Engineer jobs in Michigan look for? The top searched job categories for Probabilistic Risk Analysis Engineer jobs in Michigan are:
Probabilistic Risk Analysis Engineer jobs near you
Infographic showing various Probabilistic Risk Analysis Engineer job openings in Michigan as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $100,987 per year, or $48.6 per hour.
Localization Algorithm Engineer for RF Products::Southfield, MI (5 days in a week onsite)

Localization Algorithm Engineer for RF Products::Southfield, MI (5 days in a week onsite)

talentmovers inc

Southfield, MI • On-site

Contractor

Posted 10 days ago

Job description

Job Title: Localization Algorithm Engineer for RF Products

Location: Southfield, MI (5 days in a week onsite)

Duration: 12+ Months

Rate:  on C2C

Job Description

Approach to algorithms

Bring your confirmed experience in translating theoretical models into efficient, production-ready code. Your familiarity with sensor data processing and multi-sensor fusion methods will drive innovative solutions that challenge in the global market.

Analytical & Innovative

We value your powerful ability to use data analytics and simulations to diagnose issues, validate assumptions, and refine algorithmic approaches. Your passion for exploring new ideas and adapting the latest research will be vital for implementing creative solutions for complex localization problems.

Collaborative & Driven

Our team excels in collaboration and is motivated by a common objective of excellence. You will appreciate collaborating with a diverse R&D team, connecting software, hardware, and system-level compositions. Your motivation to address undefined challenges and pursue ongoing learning opportunities will be greatly appreciated.

Job Responsibilities

· Develop and refine PC-based localization algorithms using particle filters and other probabilistic techniques.

· Implement sensor fusion strategies that integrate data from IMUs, wireless signals, and other external sources to improve position accuracy.

· Develop simulations to test and validate your algorithms under diverse real-world conditions (e.g., multipath, noise, varying environments).

· Leverage Python, C++, C#, or MATLAB to prototype and optimize algorithms before porting them to production software.

· Perform detailed performance evaluations of localization algorithms, identifying bottlenecks and implementing data-driven optimizations.

· Collaborate with embedded, FPGA, and RF teams to improve the performance of the location tracking system.

· Stay ahead of with the latest academic and industry research in probabilistic localization, sensor fusion, and state estimation.

· Rapidly prototype novel concepts, iterating on algorithm development to reach production-level stability and robustness.

· Collaborate with software, hardware, and systems engineers to incorporate localization algorithms into broader systems.

· Chip in to code reviews, collaborating with the team in brainstorming sessions to uphold technical excellence