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Locum Autonomous Driving Engineer Jobs in Indiana

The Planet Group

Software Test Engineer

Carmel, IN · On-site

... driving initiatives that strengthen overall product quality. Recruiter Insights * Looking for ... Provides test planning, development, and execution as a team member or work autonomously within ...

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Odyssey Locums

CRNA needed in Indiana.

Madison, IN

Within driving distance of Madison, IN preferred Other job post notes: One night call shift per ... The Anesthesia OR team has 2.5 fulltime MDs and 1 fulltime CRNA. The facility has been using locum ...

Elevance Health

Distinguished Engineer

Indianapolis, IN · On-site

$243K - $364K/yr

This approach combines structured office engagement with the autonomy of virtual work, promoting a ... Proven success driving DevSecOps adoption through automation, CI/CD optimization, infrastructure as ...

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Locum Autonomous Driving Engineer information

What are Locum Autonomous Driving Engineers?

Locum Autonomous Driving Engineers are professionals who temporarily fill engineering roles focused on the development, testing, and implementation of autonomous vehicle technologies. They often work on short-term contracts or as substitutes, providing expertise in areas such as sensor integration, perception algorithms, and vehicle control systems. Their flexible positions allow companies to address skill shortages or project-based needs in the rapidly evolving autonomous driving field. These engineers may work with automotive manufacturers, tech startups, or research institutions, contributing to advancements in self-driving car technologies.

What is the difference between Locum Autonomous Driving Engineer vs Autonomous Vehicle Software Developer?

AspectLocum Autonomous Driving EngineerAutonomous Vehicle Software Developer
CredentialsEngineering degree, specialized in autonomous systems, relevant certificationsComputer science or software engineering degree, programming certifications
Work EnvironmentTemporary assignments, testing sites, R&D labsOffice-based, software development teams, testing facilities
Employer & Industry UsageConsulting firms, testing companies, automotive OEMsTech companies, automotive manufacturers, startups

While both roles involve autonomous vehicle technology, a Locum Autonomous Driving Engineer typically works on temporary projects focusing on testing and deployment, whereas an Autonomous Vehicle Software Developer primarily develops and maintains software systems for autonomous vehicles. The roles overlap in technical skills but differ in scope and work setting.

What are the key skills and qualifications needed to thrive as a Locum Autonomous Driving Engineer, and why are they important?

To excel as a Locum Autonomous Driving Engineer, you need a strong background in robotics, computer vision, and software development, typically supported by a degree in engineering, computer science, or a related field. Familiarity with tools like ROS (Robot Operating System), simulation platforms (e.g., CARLA), and machine learning frameworks, as well as experience with automotive-grade safety standards, is vital. Outstanding problem-solving skills, adaptability, and effective teamwork enable rapid integration and contribution in dynamic project environments. These competencies ensure reliable development, testing, and deployment of autonomous vehicle systems, meeting both safety and innovation demands.

What types of projects or tasks might a Locum Autonomous Driving Engineer typically handle during a contract assignment?

As a Locum Autonomous Driving Engineer, you can expect to be brought in to support critical phases of ongoing autonomous vehicle development projects. Typical tasks include integrating and testing perception, planning, and control algorithms; debugging and troubleshooting sensor fusion issues; and supporting on-road or simulation-based validation activities. Since the role is contract-based, you'll often collaborate closely with multidisciplinary teams—such as software, hardware, and safety engineers—to quickly onboard and contribute to high-priority milestones. This dynamic environment requires adaptability and strong communication skills to ensure seamless transitions and knowledge sharing with permanent staff.
What are the most commonly searched types of Autonomous Driving Engineer jobs in Indiana? The most popular types of Autonomous Driving Engineer jobs in Indiana are:
What cities in Indiana are hiring for Locum Autonomous Driving Engineer jobs? Cities in Indiana with the most Locum Autonomous Driving Engineer job openings:
Locum Autonomous Driving Engineer jobs near you
Senior Radar Systems Lead - Robotics & Drones

Senior Radar Systems Lead - Robotics & Drones

Aptiv PLC

Westfield, IN • On-site

Full-time

Posted 19 days ago

Job description

Senior Radar Systems Lead - Robotics & Drones
We are Aptiv - a global technology company with 200,000 specialists in 48 countries. We develop innovative software and build the hardware to bring autonomous driving cars, advanced driver-assistance systems, connected vehicles and smart cities to life in a way that only we can. We work in partnership with almost all car manufacturers. Our sensors, systems and software can already be found in almost all passenger cars today.
We are building a new Robotics business at Aptiv, focused on Autonomous Mobile Robots (AMRs) and Drones for warehouse, industrial, and adjacent markets. As a Sr Radar Systems Lead, you will work closely with product management, hardware/SoC teams, and engineering partners to turn PoCs into scalable, reusable architectures that can be deployed across multiple customers and robot form factors.
We are seeking a Senior Radar Systems Engineer with deep expertise in radar system design, signal processing, and end-to-end sensing architecture for advanced AMR and drone platforms. This role emphasizes ownership of radar-centric systems-from sensor characteristics and waveform design through signal processing pipelines and perception integration-while leveraging modern software tooling and cloud-based infrastructure to enable scalable development, validation, and deployment.
You will lead the design and technical direction of radar-enabled sensing systems, bridging theory, algorithm development, and real-world deployment across autonomous platforms.
Key Responsibilities:
Radar Systems Engineering & Signal Processing
  • Own the end-to-end radar sensing architecture, including waveform selection, signal chain design, calibration, and performance characterization.
  • Design and develop radar signal processing pipelines focused on raw data ingestion, range/Doppler processing, beamforming, detection, tracking, and classification.
  • Define system-level performance requirements (range, resolution, latency, power, interference robustness) and ensure alignment across hardware and software.
  • Develop and maintain MATLAB-based radar analysis and modeling tools for algorithm development, system validation, and performance evaluation.
  • Analyze real-world radar data to validate models, tune algorithms, and improve robustness across diverse environments.
  • Collaborate with perception teams to integrate radar outputs into multi-sensor fusion frameworks (radar & camera).
  • Conduct anechoic chamber testing to verify radar concepts and validate algorithm performance.
  • Participate in robotics and drone testing to validate radar sensor performance in real-world environments

System Architecture & Integration
  • Support the system architecture of radar-enabled AMR and drone platforms, spanning radar sensors, & onboard compute.
  • Define interfaces and data flows between radar subsystems, perception stacks, autonomy modules, and external services.
  • Partition processing across sensor-level, & edge, optimizing for latency, bandwidth, and scalability.
  • Support integration with ROS 2, Linux-based systems, and real-time middleware, ensuring robust communication across distributed components.
  • Work closely with hardware teams to ensure proper sensor integration, synchronization, and calibration within the broader system.

Algorithm Development & Deployment
  • Develop, prototype, and validate radar signal processing algorithms in MATLAB, and guide their transition into production environments.
  • Ensure algorithms are robust to real-world challenges such as noise, multipath, interference, and environmental variability.
  • Support development of containerized data processing pipelines for large-scale radar data analysis and validation.
  • Define and maintain data standards, labeling approaches, and evaluation metrics for radar perception systems.

Technical Leadership
  • Drive the development of next-gen radar systems from inception to realization, including requirements analysis, algorithm development, and system concept architectures
  • Lead system-level trade studies across radar modalities, processing architectures, and compute platforms.
  • Provide technical direction across radar system design, signal processing, and perception integration.
  • Mentor engineers on best practices in radar system modeling, validation, and deployment workflows.
  • Collaborate with hardware, embedded, and compute teams to map workloads across CPU, GPU, DSP, and specialized accelerators.

Customer & Partner Engagement
  • Translate customer and partner requirements into radar system specifications and sensing architectures.
  • Support proofs of concept, demonstrations, and field deployments involving radar-enabled perception.
  • Contribute to long-term technology roadmaps spanning radar hardware, signal processing, and autonomy integration.

Basic Qualifications:
  • Bachelor's or Master's degree in Electrical Engineering, Robotics, Physics, Computer Engineering, or equivalent experience.
  • 5+ years of experience in radar systems engineering, sensing systems, or autonomous platforms.
  • Strong background in radar signal processing fundamentals (FMCW, pulse radar, Doppler processing, detection, tracking).
  • Proven experience with real-world radar systems, including data collection, calibration, and performance evaluation.
  • Proficiency in MATLAB for modeling, simulation, and algorithm development.
  • Understanding of system architecture, embedded systems, and real-time processing constraints.
  • Strong analytical, debugging, and system validation skills.
  • Familiarity with anechoic chamber testing and vehicle-level testing methodologies.
  • Excellent communication skills for conveying complex technical concepts.

Preferred Qualifications:
  • Deep expertise with FMCW radar systems, including waveform design and MIMO/beamforming techniques.
  • Experience with multi-sensor fusion (radar + vision).
  • Familiarity with antenna systems, RF front-end design, or electromagnetic considerations.
  • Experience transitioning research algorithms into production systems.
  • Experience with cloud-based data pipelines for large-scale sensor data processing and analytics.
  • Familiarity with simulation environments and data replay tools for sensor validation.
  • Experience with heterogeneous compute platforms (GPU, DSP, FPGA, or NPU) for signal processing workloads.
  • Background in autonomous systems (AMR, drones, automotive, or robotics platforms).
  • Experience working with Linux and robotics middleware (ROS/ROS 2 or similar).
  • Experience working in fast-paced, ambiguous environments.

Traits we seek:
  • Curiosity-driven problem solvers who investigate deeply and think systemically.
  • Confident leaders who empower teams, set direction, and earn trust.
  • Hands-on learners with an experimental, builder mindset.
  • Resilient thinkers who see challenges as opportunities to learn and improve.

Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates
Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.

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