Senior Software Engineer C++ - R&D
@ SoloPulseSenior Software Engineer C++ - R&D
About the job
SoloPulse is a radar tech startup in Atlanta developing real-time software for high-throughput sensor systems. The role focuses on low-latency, reliable software for military and civilian applications, working with engineers on advanced radar solutions.
Requirements
- 6+ years software development
- Proficiency in C++ and Python
- Experience in real-time systems
- Knowledge of low-latency programming
- Understanding performance optimization
Qualifications
- BS/MS in relevant engineering
- Experience translating algorithms
- Ability to work with high-performance systems
- U.S
- eligible for security clearance
Full job description
SoloPulse is hiring a Product Software/Embedded Engineer to build and ship robust software for vertically integrated units. You'll own the reliability, observability, infrastructure implementation, and fault tolerance that determine how deployed units perform over time, with a focus on low-latency execution on real hardware. You'll have real ownership of your work, the problems are challenging, and your teammates hold themselves to a high standard.
Responsibilities
- Developing real-time software for radar, RF, and other high-throughput sensor systems, with a focus on turning research algorithms into reliable, deterministic implementations
- Translating DSP algorithms and mathematical concepts into efficient C++ and CUDA implementations that meet strict latency, throughput, and timing requirements
- Designing and implementing low-latency data processing pipelines that acquire, process, and deliver high-rate sensor data in real time
- Working closely with DSP and research engineers to understand algorithms, identify implementation constraints, and integrate them into complete real-time systems
- Designing software architectures for systems that combine multiple sensors, real-time processing, state estimation, and downstream outputs
- Profiling and optimizing C++ and CUDA code to improve latency, throughput, memory usage, and overall system performance
- Developing test harnesses, simulation environments, replay systems, and controlled data collection pipelines to validate algorithms and system behavior
- Developing software that can operate predictably under real-world resource constraints, including limited CPU, GPU, memory, bandwidth, and power
- Rapidly building experimental systems to answer technical questions and determine whether new concepts are viable
Key Qualifications
Nice-to-have Qualifications
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