Sr. Research Engineer

Teledyne FLIR; Elkridge (MD); Hybrid; USD 90,000 - 130,000; Full time

Job summary

A leading defense technology firm is seeking a Senior Research Engineer to lead robotics and machine learning projects. The ideal candidate will have a PhD in a technical field and experience with C++, Python, and machine learning. This role offers a hybrid work model primarily based in Elkridge, MD. Candidates must be eligible for U.S. licensing to apply.

Qualifications

• 3+ years of relevant experience or 8+ years with a Master's.
• Familiarity with PyTorch and Data Version Control (DVC) is a plus.
• Lead technical teams and manage complex research projects.
• Able and willing to travel approximately 20% domestically.

Responsibilities

• Contribute to C++, Python, and CUDA codebases.
• Drive technical decision-making among distributed teams.
• Prepare technical reports for varying audiences.
• Develop a mature machine learning stack.
• Research and implement new techniques in machine vision.

Skills

C++

Python

CUDA

Deep learning techniques

Linear algebra

Statistics

SLAM algorithms

3D data

Numerical optimization

Technical writing

Embedded Systems

Linux/Unix (Ubuntu)

Education

PhD in Computer Science, Mathematics, or similar

Masters with 8+ years of experience

Job description

Job Summary

In order to technically lead a robotics and machine learning project, Teledyne FLIR Defense is looking for a motivated Senior Research Engineer who can serve as a Principal Investigator.

Locations & Schedule

This position can work a hybrid schedule from any of the following Teledyne FLIR office locations:

• Elkridge, MD
• Freeport, PA
• West Lafayette, IN

Primary Duties & Responsibilities

• Technically contribute to C++, Python, and CUDA codebases.
• Drive technical decision making, coordinating between software engineers and machine learning engineers, amongst a distributed internal and subcontractor team.
• Prepare technical reports and contractual deliverables for technical and non-technical audiences.
• Drive development of a mature machine learning stack.
• Research, evaluate, and implement newest techniques in machine vision, robotics, and deep learning.
• Ensure alignment with project goals, timelines, and compliance standards throughout the development lifecycle.

Job Qualifications

• PhD in Computer Science, Mathematics, or similar technical field with 3+ years of relevant experience or Masters with 8+ years of relevant experience.
• Foundational knowledge of deep learning techniques, familiarity with PyTorch and Data Version Control (DVC) is a plus.
• Strong foundation of linear algebra and statistics.
• Understanding of SLAM algorithms, 3D data, and numerical optimization.
• Proven ability to lead technical teams and manage complex research projects.
• Excellent written and verbal communication skills, with the ability to convey complex ideas clearly and effectively.
• Familiarity with Embedded Systems like the NVIDIA Orin.
• Familiarity with modern Linux/Unix operating systems like Ubuntu.
• Able and willing to travel approximately 20%, primarily domestic.

Applicants must be either a U.S. citizen, U.S. national, legal permanent resident, asylee, refugee, or must be eligible to apply for and obtain the appropriate export control license from the U.S. Departments of State or Commerce.

About Teledyne FLIR Defense

Join Teledyne FLIR Defense, where we're dedicated to supporting critical missions with an exciting range of cutting‑edge technologies. Our products include advanced surveillance sensors, unmanned air and ground vehicles, sensing devices used to detect chemicals, biological agents, radiation and explosives, and a host of other solutions that help warfighters, first responders, and search‑and‑rescue teams do their jobs better.

We're looking for passionate innovators eager to shape the future of the Defense and Public Safety industries. If you’re mission‑driven to globally collaborate on solutions that can change the battlefield and save lives, we invite you to explore our current opportunities.