AI/ML Embedded Software Developer

4 days ago

Udaipur, Rajasthan, India beBeeEmbeddedSoftware Full time ₹ 80,00,000 - ₹ 1,60,00,000
Job Overview:
A pioneering Embedded Software Engineer is needed to join our dynamic team. As a key member, you will play a vital role in shaping the future of real-time satellite intelligence.

Key Responsibilities:
- Design and implement embedded software solutions for AI/ML workloads on NVIDIA, Xilinx, and Microchip platforms.
- Configure and manage Linux environments (Ubuntu and custom distributions), including kernel modules, system tuning, cross-compilation, and deployment scripts.
- Integrate ML models into embedded systems; collaborate with Data Science teams to enable deployment on resource-constrained hardware.
- Develop, test, and optimize Dockerized applications for AI/ML workloads, ensuring portability, efficiency, and compliance with partner satellite company requirements.

Requirements:
- Bachelor's/Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent.
- 3–8 years of hands-on experience in embedded software development.
- Proficiency in C, C++, and Python.
- Deep knowledge of Linux (system internals, drivers, kernel tuning).
- Proven experience with Docker and containerized workflows.
- Experience with NVIDIA Jetson, CUDA, TensorRT, and Xilinx Vitis AI / OpenCL.
- Familiarity with edge AI/ML workloads, model deployment, and performance optimization.
- Strong debugging, problem-solving, and communication skills.
- Ability to work independently in a remote-first environment, coordinating across time zones.

Preferred Qualifications:
- Networking & Protocols: Knowledge of embedded networking (TCP/IP, UDP, MQTT, gRPC), especially for low-bandwidth or intermittent links.
- Security & Encryption: Familiarity with secure boot, encryption standards, and container security (bonus if experience with Post-Quantum Cryptography concepts).
- Cross-Platform Development: Experience with ARM/x86 toolchains, cross-compilation, and Yocto/OpenEmbedded.
- Performance Optimization: Ability to profile embedded workloads and optimize for power, latency, and throughput constraints.
- Scripting & Automation: Bash, Python, and Ansible (good to have) for automating builds, deployments, and system monitoring.
- Debugging & Profiling Tools: GDB, Valgrind, perf, Nsight, and similar tools for low-level performance analysis.

Why Work with Us:
- Collaborate with a talented team of engineers, scientists, and product leaders building innovative technology.
- Enjoy the flexibility of a remote-first culture while making a global impact.

Equal Opportunity Employment:

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