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Radar Systems Analyst Jobs in Tennessee (NOW HIRING)

L3HHCM20

Sr. Specialist, Electrical Engineer

Nashville, TN

$103K - $135K/yr

... analyses to verify performance and reliability. - Conduct feasibility studies, risk assessments ... radar systems - Experience developing electrical schematics for product baseline development ...

Secmation

Senior RF Communications Engineer

Nashville, TN · Hybrid

$140K - $175K/yr

Tactical RF communications, SATCOM, resilient networking, radar, and RF sensing technologies. * AI-enabled RF analysis, mission systems, and adaptive signal-processing capabilities as part of the ...

Secmation

Senior RF Communications Engineer

Nashville, TN · On-site

$140K - $175K/yr

Tactical RF communications, SATCOM, resilient networking, radar, and RF sensing technologies. * AI-enabled RF analysis, mission systems, and adaptive signal-processing capabilities as part of the ...

Secmation

Senior RF Communications Engineer

Nashville, TN · On-site

$140K - $175K/yr

Tactical RF communications, SATCOM, resilient networking, radar, and RF sensing technologies. AI-enabled RF analysis, mission systems, and adaptive signal-processing capabilities as part of the ...

Secmation

Senior RF Communications Engineer

Nashville, TN · On-site

$140K - $175K/yr

Tactical RF communications, SATCOM, resilient networking, radar, and RF sensing technologies. * AI-enabled RF analysis, mission systems, and adaptive signal-processing capabilities as part of the ...

Astec Industries

Electrical Engineer

Chattanooga, TN · On-site

Onsite - Chattanooga, TN ABOUT THE POSITION Design electrical control systems for asphalt heating ... etc.) and radar devices. • Ability to program PLCs is desired. • Provide electrical and ...

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Radar Systems Analyst information

What does a radar systems analyst do?

A Radar Systems Analyst is responsible for evaluating, maintaining, and improving radar systems used in various applications, such as defense, aviation, and weather forecasting. They analyze radar data, troubleshoot system issues, and recommend enhancements to optimize performance. Their work often involves collaborating with engineers, interpreting technical data, and ensuring that radar systems operate effectively and reliably. Radar Systems Analysts also stay updated on the latest technological advancements in radar technology to provide informed recommendations.

What are the key skills and qualifications needed to thrive as a radar systems analyst, and why are they important?

To thrive as a Radar Systems Analyst, you need a solid background in electrical engineering, signal processing, and mathematics, often supported by a relevant degree and security clearance. Familiarity with radar simulation software, MATLAB, and data analysis tools is typically required, as well as experience with signal interpretation systems. Analytical thinking, attention to detail, and effective communication are standout soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills ensure accurate system performance assessments and support mission-critical decision-making in defense and aerospace environments.

What are some common challenges radar systems analysts face when interpreting radar data, and how can they overcome them?

Radar Systems Analysts often encounter challenges such as signal interference, false alarms, and distinguishing between real targets and background clutter. Overcoming these requires a strong understanding of signal processing techniques and the ability to calibrate and fine-tune radar parameters. Analysts frequently collaborate with engineers and field technicians to validate data accuracy and improve system performance. Staying current with the latest analytical tools and regularly participating in team debriefs also helps in addressing these challenges effectively.

Artificial Intelligence (AI) Engineer / Developer (Remote)

Cookeville, TN • On-site, Remote

Statheros
See more jobs at Statherosexternal

Contractor

Re-posted 5 days ago

Job description

About Us
Statheros is a small DEFTECH firm focused on developing cutting-edge AI and autonomy systems for the US Department of Defense. Our team is passionate about building intelligent systems that solve complex problems. We are looking for a talented AI Engineer specializing in Proximal Policy Optimization (PPO) to lead the development of AI-enabled algorithms that automate the operation of air traffic radar systems.
Job Responsibilities
  • Design, implement, and optimize Proximal Policy Optimization (PPO) algorithms for domain-specific use cases.
  • Develop and train reinforcement learning models for real-world applications, focusing on efficiency and scalability.
  • Collaborate with cross-functional teams to integrate PPO models into production systems.
  • Analyze model performance and experiment with hyperparameter tuning to achieve optimal results.
  • Stay up-to-date with the latest research and advancements in reinforcement learning and apply them to enhance existing solutions.
  • Build robust pipelines for training, evaluation, and deployment of RL models.
  • Document workflows, methodologies, and code for reproducibility and knowledge sharing.
Qualifications
  • Educational Background: Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Mathematics, or related fields. Ph.D. is a plus.
  • Experience:
    • 4+ years of professional experience in machine learning, with a focus on reinforcement learning.
    • Demonstrated expertise in implementing and optimizing PPO or similar reinforcement learning algorithms.
    • Hands-on experience with frameworks like TensorFlow, PyTorch, or JAX.
  • Technical Skills:
    • Strong programming skills in Python; familiarity with Rust or other languages is a plus.
    • Proficiency in designing and running RL experiments in simulated or real-world environments.
    • Experience with distributed training systems for reinforcement learning.
    • Solid understanding of policy gradient methods and reinforcement learning theory.
  • Soft Skills:
    • Excellent problem-solving skills and the ability to work in a collaborative, fast-paced environment.
    • Strong communication skills for presenting findings and collaborating with interdisciplinary teams.
Preferred Qualifications
  • Experience in applying PPO to [specific domain, e.g., robotics, gaming, finance, etc.]
  • Familiarity with OpenAI Gym, RLlib, or other RL development environments
  • Knowledge of parallel computing and GPU acceleration for large-scale RL tasks
What We Offer
  • Remote work location.
  • Competitive salary.
  • Flexible work schedule.
  • Opportunities for professional development and research contributions
  • Access to state-of-the-art resources and tools for AI development.
  • The chance to work on groundbreaking projects with a talented and passionate team.
Employment Type: CONTRACTOR

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