DevOps Engineer | SDE - 1 | SDE - 2
Role: AI/ML Engineer - Satellite Systems
Function: Engineering - AI/Machine Learning
Location: US/Bengaluru
Type: Full-time
Compensation: Not specified
Industry: aviation & aerospace
About Company
A venture-backed startup founded in 2023, revolutionizing spacecraft components for low-earth-orbit satellites. The company makes high-quality space hardware more accessible by delivering essential ADCS components faster and at lower prices than traditional suppliers.
You'll join a dynamic seed-stage team of engineers on a mission to modernize the space component supply chain. The team includes hardware-focused professionals with experience in high-volume scaleups, collaborating across US and Bengaluru operations to build the future of commercial space technology.
Position Overview
You'll develop and deploy machine learning models that run on GPU hardware aboard satellites in low-earth-orbit missions. You'll have the unique opportunity to see your models operational in flight, contributing directly to satellite attitude determination and control systems. You'll work at the cutting edge of AI and aerospace, optimizing algorithms for the extreme constraints of space environments while collaborating with experienced hardware teams to integrate your models into operational satellite subsystems.
Role & Responsibilities
- You design and develop machine learning models optimized for satellite GPU hardware constraints
- You implement real-time inference algorithms for attitude determination and control systems
- You optimize model performance for power-limited space environments and radiation tolerance
- You collaborate with hardware teams to integrate ML models into satellite subsystems
- You conduct ground testing and validation of models before flight deployment
- You monitor and analyze model performance from operational satellites in orbit
- You develop data pipelines for processing satellite telemetry and sensor data
Must Have Criteria
- 2-4 years of experience in machine learning model development and deployment
- Expert-level proficiency in PyTorch and TensorFlow for deep learning development
- Strong experience with computer vision algorithms and image processing techniques
- Hands-on experience with reinforcement learning for control systems applications
- Proficiency in time series analysis and forecasting for sensor data processing
- Bachelor's degree in Computer Science, Engineering, or related technical field
Nice to Have
- Experience with aerospace or satellite systems development
- Knowledge of attitude determination and control systems (ADCS)
- Experience with edge AI deployment in resource-constrained environments
- Familiarity with space-grade hardware and radiation-hardened systems
What We Offer
- Opportunity to see your AI models operational in space missions
- Work on cutting-edge technology at the intersection of AI and aerospace
- Collaborative environment with experienced space industry professionals
- Competitive compensation and equity in a fast-growing space startup
- Direct impact on the future of commercial satellite technology
FAQs
Are there any additional costs for payroll processing in multiple countries?
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