Key responsibilities include:

• Collaborating with a multidisciplinary team of software and hardware engineers to develop software defined radios;
• Implementing high-performance, real-time signal processing chains on embedded and hardware platforms to support mission-critical sensing capabilities;
• Developing Modeling and Simulation (M&S) code for RADAR techniques and data analysis including Hardware-in-the Loop / Software-in-the-loop (HIL/SIL) testing;
• Participating in laboratory and field testing of RF systems and techniques;
• Participating in the maturation of RF systems into deployable systems and products.

Required qualifications include:

• 5+ years of experience with a BSEE or related field;
• Strong foundation in digital signal processing, comms theory, and system engineering with emphasis in direction finding algorithm implementation;
• Hands-on experience with direction finding, angle-of-arrival estimation, and multi-antenna signal processing;
• Strong experience with DSP implementation for embedded devices including FPGA, Nvidia Jetson, and Software Defined Radios and/or software defined radios;
• Strong knowledge of Python and MATLAB;
• Experience with CUDA or GPU accelerated frameworks like cuSignal is preferred;
• Familiar with deep learning algorithms;
• Familiar with wireless communication standards (Bluetooth, 3G/4G/5G, Wi-Fi, SINCGARS, MUOS, etc.).

Preferred qualifications include:

• Masters or PhD degree in Electrical, Electronics, Computer Engineering, or related fields;
• Experience with ML frameworks such as TensorFlow and PyTorch;
• Defense, national security, or aerospace domain familiarity through industry or education;
• Extensive Digital Signal Processing (DSP) knowledge and experience;
• Expertise in Synthetic Aperture Radar (SAR) and/or Inverse SAR (ISAR): Image formation, waveforms, phenomenology, modeling and simulation.

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This role requires you to be very hands-on and contribute to discussions with cross-functional teams across the organisation. We embrace an attitude that focuses on solving the root cause of problems efficiently.

A large part of your day-to-day will be in our build pipelines, build configuration management, and focusing on making changes to increase developer iteration time.

Responsibilities:

• Embed with a product engineering team as their primary Software Operations partner, working closely with engineers to improve how software is built, tested, and delivered.

• Design, implement, and continuously improve build pipelines, CI workflows, and supporting tooling with a focus on scalability, reliability, and developer experience.

• Apply strong C++ and/or Go software development experience to build and maintain robust build and CI solutions.

• Reduce iteration time and friction by improving build performance, test reliability, and CI feedback loops.

• Debug and resolve complex build, test, and CI failures using disciplined root-cause analysis.

• Influence technical direction without formal authority by earning trust through collaboration, technical credibility, and a deep understanding of team and program constraints.

• Promote best practices in build hygiene, CI/CD design, dependency management, and software development workflows that scale across teams and programs.

• Apply knowledge of software design patterns and architectural principles to design maintainable CI systems and build abstractions.

• Coach and mentor product engineers on build and CI topics, helping teams make better design decisions and understand trade-offs.

• Represent the Software Operations organisation within the product team, acting as a bridge between platform capabilities and product needs.

• Advocate for practical, production-ready solutions that improve developer productivity without sacrificing velocity or quality.

Requirements:

• BS in computer science or related engineering field with 3+ years of professional experience.

• Experience with configuration management tools (Makefile, CMake, Conan, Bazel, etc.).

• Strong demonstrated proficiency in continuous integration/delivery (e.g. Github Actions, ADO, TeamCity, etc.).

• Strong understanding of C++ (or other compiled language), Linux and CMake.

• Strong knowledge of APIs, web services, and identity access management.

• Strong knowledge of containers (e.g. Docker, Podman, etc.).

• Strong knowledge of scripting languages (Bash, Python, PowerShell).

• Strong knowledge of Git.

• Strong system administration in Linux (w/ Windows a bonus).

• Strong desire to learn and grow on the job.

Preferences:

• Strong Experience with Conan Package Manager.

• Experience with Rust in a production environment.

• Experience with Hardware in the Loop build/deploy/test systems.

• Experience owning build infrastructure.

• Experience with NVIDIA Jetson products.

Salary and Benefits:

$120,000 - $180,000 a year

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

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