Localization Algorithm Engineer for RF Products Job at Talent Movers, Southfield, MI

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  • Talent Movers
  • Southfield, MI

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

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