AI Inference Engineer

• Lead the development and optimization of low-latency inference engines using TensorRT and ONNX, including authoring custom plugins to support cutting-edge architectures.
• Design and maintain multithreaded video processing and streaming pipelines (RTSP, RTP, HLS) using GStreamer and DeepStream.
• Collaborate closely with embedded engineers to integrate perception software with Yocto platforms, ensuring seamless hardware-software synergy.
• Work with raw data from cameras and LiDAR to enable real-time data capture, obstacle detection, and avoidance.
• Write and optimize custom CUDA kernels and perform low-level GPU tuning to maximize throughput and minimize power consumption.
• Productionize proven prototypes from Jetpack into Yocto
• Apply advanced optimization techniques—including quantization (INT8/FP16), pruning, and distillation - to bring research-grade models to production-grade efficiency.

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field.
• 3+ years of experience developing and deploying computer vision or machine learning applications on real-world robotic systems (not just in simulation).
• High proficiency in C, C++, and Python, with a focus on real-time and embedded systems.
• Expert-level knowledge of the NVIDIA Jetson ecosystem (JetPack SDK, DeepStream, TensorRT) and a deep understanding of CUDA/GPU architecture.
• Hands-on experience with video streaming tools like ffmpeg and protocols such as RTSP, RTP and HLS.
• Proven track record of deploying AI systems that operate in the field, handling the unpredictability of real-world sensor data.

• Familiarity with NVIDIA’s broader robotics stack
• Experience with ML compilers or compiler-level optimizations for GPU inference.
• Specific background in sensor fusion and AI-driven obstacle avoidance for autonomous navigation.
• Exposure to remote logging, log ingestion, and distributed telemetry aggregation.
• Previous experience in early-stage startups or fast-paced hardware/software integration environments.

• We celebrate as a team and troubleshoot as a team.
• The goal is the mission, not the credit.

• Be ruthless with problems, but kind to people.
• Raise the bar, lower the shield

• Your perspective is a requirement, not a suggestion.
• Speak the hard truths early so we can fix them fast.

• Do what you say you’ll do.
• If it breaks, fix it. If it works, make it better.

• Earn trust through empathy and consistency.
• Anticipate needs before they become requests.

Compensation