Real-Time Intelligence Pioneer

4 days ago

Agra, Uttar Pradesh, India beBeeInnovation Full time ₹ 1,20,00,000 - ₹ 1,80,00,000

Empowering Innovation: A Frontier of Real-Time Intelligence

Role - Embedded Software Engineer

We are seeking a skilled Embedded Software Engineer to join our mission-driven team. This is a hands-on software development role where you will design, implement, and optimize embedded software solutions for AI/ML workloads on NVIDIA, Xilinx, and Microchip platforms.

About the Job:
  • Design and develop embedded software solutions for AI/ML applications.
  • Collaborate with cross-functional teams to integrate ML models into embedded systems.
  • Work with modern embedded platforms (NVIDIA, Xilinx, ARM, RISC-V) in one of the most exciting application areas: space-based AI/ML.
Key Responsibilities:
  • Linux Expertise: Configure and manage Linux environments (Ubuntu and custom distributions), including kernel modules, system tuning, cross-compilation, and deployment scripts.
  • AI/ML Optimization and Testing on the Edge: Integrate ML models into embedded systems; collaborate with Data Science teams to enable deployment on resource-constrained hardware.
  • Low-Level Engineering: Work with C, C++, and Python to build and optimize drivers, OS-level services, and low-level libraries for ML acceleration.
  • Containerization: Develop, test, and optimize Dockerized applications for AI/ML workloads, ensuring portability, efficiency, and compliance with partner satellite company requirements.
  • Embedded Systems Ownership: Manage and maintain Edge AI development kits (NVIDIA Jetson, Xilinx platforms, etc.), ensuring smooth workflows for in-orbit simulation and testing.
  • Hardware Acceleration: Leverage CUDA, cuDNN, TensorRT (NVIDIA) and Vitis AI / OpenCL (Xilinx) to accelerate workloads.
  • Systems Integration: Interface with satellite payload hardware and ground systems; debug integration issues across hardware, OS, and application layers.
  • CI/CD for Edge: Develop pipelines for automated testing and deployment of embedded software builds.
  • Documentation & Support: Maintain clear documentation of configurations, workflows, and deployment practices; support partner satellite companies in deploying our dockerized products.
  • Version Control & Collaboration: Git/GitHub, code review best practices, and working in distributed development teams.
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.
What We Offer:
  • A challenging and rewarding role in a rapidly growing company.
  • The opportunity to work on cutting-edge technology and make a meaningful impact on the world.
  • A competitive salary and benefits package.
  • The freedom to work remotely and be part of a global team.
  • The chance to collaborate with talented engineers and scientists from diverse backgrounds.

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