Senior Software / Embedded Software Engineer - Product
Summary
Build and ship robust embedded software for radar systems on NVIDIA Jetson and sensors, focusing on low-latency, reliability, and fleet-grade concerns like OTA updates and fault tolerance.
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
- Engineering production embedded software that interfaces directly with hardware (NVIDIA Jetson, SDRs, sensors) and holds up against real-world failure modes
- Engineering hardened, deterministic, low-latency data pipelines for high-throughput radar/RF data
- Determining and implementing fleet-grade concerns: secure/OTA updates, logging, telemetry, observability, fault detection, graceful degradation, and recovery
- Engineering build, test, and release infrastructure: CI/CD for embedded, hardware-in-the-loop testing, and automated regression on target hardware
- Performing field debug, root-cause analysis, and maintaining traceability across deployed units
- Engineering security and reliability for constrained and adversarial environments
- Performing under practical resource budgets: memory, compute, thermal, and power
Key Qualifications
- BS/MS in Computer Science, Computer Engineering, or a related field
- 6+ years of demonstrated experience shipping production embedded software across real fleets (e.g., >10 deployed units)
- Strong proficiency in C/C++ and Python
- Embedded and real-time systems experience, with performance tuning under hard constraints
- Experience with the parts that keep fielded systems alive: update, logging, fault recovery, and test
- Must be eligible to obtain and maintain a U.S. TS clearance; U.S. person required
Nice-to-have Qualifications
- NVIDIA CUDA / GPU acceleration; memory-optimized HPC
- High-bandwidth sensor integration (INS, GNSS, radio, camera)
- DSP algorithm implementation experience
- CI/CD and HIL for embedded fleets