Localization Algorithm Engineer

Job Description

Job Description

Job Title: Senior Localization Algorithm Engineer Job Description

This role focuses on designing, developing, and refining advanced PC-based localization algorithms that operate within real-time systems. You will lead the creation of probabilistic and sensor fusion techniques to achieve highly accurate position tracking, validate your work through rigorous simulations, and collaborate closely with cross-functional engineering teams. This is an opportunity to shape next-generation localization solutions and help advance technologies with impact far beyond the automotive industry.

• Develop and refine PC-based localization algorithms using particle filters and other probabilistic techniques for real-time operating systems.
• Implement sensor fusion strategies that integrate data from IMUs, wireless signals, RF measurements, and other external sources to enhance position accuracy.
• Design and execute simulations to test and validate localization algorithms under diverse real-world conditions, including multipath, noise, and varying environments.
• Leverage Python, C++, C#, or MATLAB to prototype, evaluate, and optimize algorithms prior to integration into production software.
• Conduct thorough performance evaluations of localization algorithms to identify bottlenecks and implement data-driven optimizations.
• Collaborate closely with embedded, FPGA, RF, and systems engineering teams to improve the performance and robustness of the location tracking system.
• Stay current with academic and industry research in probabilistic localization, sensor fusion, and state estimation, and apply relevant findings to product development.
• Rapidly prototype novel concepts and iterate on algorithm designs to achieve production-level stability, robustness, and scalability.
• Work cross-functionally with software, hardware, and systems engineers to integrate localization algorithms into larger, complex systems.
• Contribute to code reviews, knowledge sharing sessions, and team brainstorming activities to maintain a high level of technical excellence.
• Use data analytics and simulation tools to diagnose issues, validate assumptions, and refine algorithmic approaches throughout the development lifecycle.
• Take ownership of open-ended technical challenges, driving tasks from concept through implementation and validation while continuously learning and improving.

• 10+ years of experience developing localization algorithms for real-time operating systems (RTOS).
• Strong background in state estimation, probability theory, and advanced filtering techniques such as particle filters and related probabilistic filters.
• Proficiency in at least one of the following programming languages for algorithm development and evaluation in a PC-based environment: Python, C#, C++, or MATLAB.
• Proven experience designing and implementing sensor fusion algorithms that combine data from IMUs, wireless signals, RF sources, and other sensors.
• Hands-on expertise with algorithm development for challenging RF environments, including multipath and noisy conditions.
• Ability to design, run, and interpret simulations to validate localization and state estimation algorithms.
• Demonstrated skill in using data analytics to diagnose issues, validate assumptions, and optimize algorithm performance.
• Comfort working within multi-disciplinary R&D teams, collaborating across software, hardware, embedded, FPGA, RF, and systems engineering disciplines.
• Strong problem-solving abilities and a track record of taking ownership of complex, open-ended technical challenges.
• Ability to communicate technical concepts clearly and contribute constructively to code reviews and technical discussions.

• Experience with real-time operating systems and their constraints on algorithm design and implementation.
• Familiarity with I/Q data processing and RF signal characteristics in the context of localization and tracking.
• Experience with sensor fusion frameworks and state estimation methods beyond particle filters, such as other probabilistic and filtering approaches.
• background in research-oriented environments or R&D teams where rapid prototyping and iteration are common.
• Demonstrated passion for exploring new ideas, adapting cutting-edge research, and creatively applying it to solve challenging localization problems.
• Enthusiasm for continuous learning, staying informed about advances in probabilistic localization, sensor fusion, and state estimation.
• Ability to bridge gaps between software, hardware, and systems-level design to deliver integrated localization solutions.
• Strong collaboration skills and enjoyment of working in small, focused teams of highly skilled engineers.

You will work as part of a focused team of approximately 5–10 engineers within a fast-paced, problem-solving R&D environment. The culture emphasizes cross-functional collaboration, with frequent interaction among software, hardware, embedded, FPGA, RF, and systems engineering teams to deliver integrated localization solutions. The role follows a hybrid work schedule, with in-office presence typically expected from Tuesday through Thursday and remote work on Monday and Friday, while maintaining flexibility to come into the office as needed for project work, collaboration, or lab activities. The environment supports experimentation, rapid prototyping, and knowledge sharing, providing access to modern tools and technologies for simulation, data analysis, and algorithm development.

This is a Contract to Hire position based out of Southfield, MI.

The pay range for this position is $60.00 - $75.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave)

This is a hybrid position in Southfield,MI.

This position is anticipated to close on Jul 31, 2026.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email View email address on ziprecruiter.com for other accommodation options.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.