SoloPulse
Senior Software Engineer - R&D
Employment
Full-timeFrom the employer
Full-Time
Level
SeniorTeam
R&D Systems EngineeringCountry assessment
Not doable from Austria because the employer's own board marks it as not remote.
Our assessment is guidance. Confirm arrangements with the employer.
Skills mentioned in this posting
Job description
We are looking for a senior software engineer to build the real-time processing systems at the core of our radar platform. This is an R&D-focused role where you will take algorithms and system concepts and turn them into high-performance, deterministic software running on real hardware.
You will work primarily in C++ and Python, with opportunities to work across DSP, CUDA/GPU acceleration, high-throughput sensor processing, networking, and embedded computing. The work ranges from implementing and optimizing signal-processing algorithms to building complete sensor-to-output systems for drones, vehicles, and other platforms.
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
- BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field
- 4+ years of demonstrated experience developing complex software systems
- Strong proficiency in C++ and Python
- Demonstrated experience designing and implementing low-latency and deterministic real-time systems
- Strong understanding of performance-critical C++, including memory behavior, concurrency, synchronization, data movement, and resource management
- Experience translating algorithms or mathematical concepts into efficient software implementations
- Experience developing software for systems with significant performance, latency, or throughput requirements
- Must be eligible to obtain and maintain a U.S. TS clearance; U.S. person required
Nice-to-have Qualifications
- NVIDIA CUDA / GPU acceleration and performance optimization
- Experience implementing real-time signal processing algorithms
- Experience with SDRs, RF hardware, high-bandwidth sensors, or sensor fusion
- Experience building simulation, replay, hardware-in-the-loop, or automated test systems
- Experience taking research software from prototype through technical maturation and into a production engineering organization