Software Engineer – Embedded Systems and High-Performance Computing - Primordial Labs

What We Do

Primordial Labs is building Anura, the next-generation human-machine interface. Anura allows operators to command, control, and collaborate with uncrewed systems through natural language, just like they would with a human teammate. Our mission is to make it easier for warfighters to harness the power of autonomous systems on the battlefield.

Job Description

(Please Note: This is a 100% remote position that requires residence in the United States. Candidates must also be eligible to obtain a DoD security clearance, which requires U.S. citizenship.)

We are seeking a talented Software Engineer with expertise in embedded systems, robotics, and high-performance computing to join our team. In this role, you will transform innovative ideas and research into production-grade, real-time software for autonomous platforms. You will tackle challenging, performance-critical problems in a collaborative, fast-paced environment.

As a company co-founded and led by engineers, we prioritize developer experience. We minimize distractions (read: meetings) and provide tools to maximize productivity. We are also committed to offering competitive total compensation, including equity.

Responsibilities

• Collaborate with the R&D team to transform innovative concepts and prototypes into robust, high-performance production code.
• Develop and optimize software for real-time systems, robotics, and embedded platforms.
• Conduct performance analysis and apply low-level optimizations for efficiency, portability, and scalability across diverse compute architectures.
• Integrate software with robotic systems, sensors, and other hardware.
• Maintain a strong focus on code quality, testing, and thorough documentation.

Qualifications

• Expertise in C++ and Python
• Experience with embedded systems and real-time applications (Background in performance-critical systems or robotics is highly desirable) 
• Strong understanding of data structures, algorithms, and system-level programming concepts (e.g., threading, synchronization, and memory management).
• Demonstrated expertise in debugging, profiling, and optimizing complex software systems
• Experience with robotics frameworks (e.g., ROS, DDS) or real-time operating systems (RTOS) is desireable.

Application Process

We have a two-stage interview process:

1. Screener Interview: A 30-minute discussion about relevant engineering concepts and your past experience.
2. Offline Coding Test: We provide an at-your-own-pace test focused on algorithm and system design. After completion, you'll present your solution in a follow-up call. This allows us to understand your thought processes and technical approach.
   

We are committed to a low-stress interview experience—no trick questions or brain teasers!