Space-Based AI/ML Pioneering

13 hours ago

Nashik, Maharashtra, India beBeeEmbedded Full time ₹ 2,00,00,000 - ₹ 2,56,00,000
Are you ready to unleash your passion for AI and ML in a pioneering role that pushes the boundaries of space-based technologies?At Little Place Labs, we're not just seeking an Embedded Software Engineer – we're on the hunt for a mastermind who can craft innovative solutions that drive real-time intelligence from orbit.This is an opportunity to join a team of visionaries who are reimagining satellite capabilities and leveraging cutting-edge tech to combat critical global challenges. If you're a skilled software developer with a knack for optimizing complex systems, this might be the perfect fit for you.As an Embedded Software Engineer at Little Place Labs, you'll play a pivotal role in shaping our edge AI solutions, working closely with Data Science teams to integrate ML models into embedded systems. Your expertise in low-level engineering, containerization, and hardware acceleration will be instrumental in delivering efficient and reliable Dockerized builds to partner satellites.We're looking for someone with a strong background in Linux, C, C++, and Python, as well as experience with NVIDIA Jetson, CUDA, TensorRT, and Xilinx Vitis AI / OpenCL. If you have a passion for debugging, problem-solving, and communication, and thrive in remote-first environments, we'd love to hear from you.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.
Success Metrics:
  • Reliable, efficient Dockerized builds delivered to partner satellites.
  • Smooth operation and maintenance of NVIDIA/Xilinx dev kits for AI/ML use cases.
  • Reduced latency and improved efficiency of ML models on embedded devices.
  • Strong cross-team collaboration leading to faster turnaround on edge deployment milestones.
About Us:

Little Place Labs is committed to creating equal opportunities for all individuals, regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

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