Software Engineer

Moore Information Inc

United States

4 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Starter

Experience required

2 years minimum

Compensation

$120,000.0 - $145,000.0

Working hours

Regular working hours

Job source

startup.jobs

Tech stack

Amazon Web Services Microsoft Azure C++ (Programming Language) Cloud Computing Communications Protocols Continuous Integration Linux Distributed Computing Environment Python (Programming Language) Machine Learning Performance Tuning Tensorflow

+10 more

Reinforcement Learning Multithreading Real Time Systems Pytorch Delivery Pipeline Multi-Agent Systems Git Containerization Information Technology Docker

Job description

Design and implement on-board decision-making models that recommend and adapt strategies in real time
Develop autonomous decision algorithms that integrate information from perception, state estimation, and intent prediction models to execute mission objectives
Research and implement ML models for decision making - everything from lit. review, through training, to deployment
Implement decision models that adapt dynamically to changing mission context, environmental conditions, and system status
Develop frameworks for continuous re-evaluation of active strategies to ensure resilient and adaptive behavior under uncertainty
Support real-time autonomy in communications-limited or time-critical scenarios
Build and maintain autonomy infrastructure, testing frameworks, and deployment pipelines for space missions

Requirements

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Robotics, a related field, or equivalent experience
2+ years of distinguished industry experience in autonomy, decision-making, or control systems for aerospace/robotics
Strong proficiency in C++ and Python and DL frameworks (PyTorch, TensorFlow)
Demonstrated experience with machine learning applied to decision-making or control problems
Track record with optimal control, planning, or reinforcement learning in real-time systems
Familiarity with multi-agent decision-making or planning under uncertainty, * Track record implementing autonomy applications in real-time or safety-critical environments
Experience integrating perception and prediction outputs into decision frameworks
Familiarity with resource-aware strategy selection and optimization under uncertainty
Background in reinforcement learning, hierarchical planning, or adaptive control
Experience with distributed training and cloud-based scaling of ML models (AWS, GCP, or Azure)
Experience with Linux, Git, and CI/CD pipelines
Comfortable with containerization tools such as Docker and Kubernetes
Familiarity with real-time systems, multi-threading, and performance optimization
Strong understanding of distributed autonomy, networking, and communication protocols

Benefits & conditions

Pay Range:
(E1) Junior Software Engineer: $120,000 - $145,000 / year
(E2) Software Engineer: $140,000 - $180,000 / year
(E3) Senior Software Engineer: Competitive
Meaningful equity incentives as part of our employee option pool
Flexible PTO with generous paid vacation, holidays, and sick leave
Comprehensive medical, dental & vision coverage
401(k) retirement plan with company match
LA, Compensation bands are determined by role, level, location, and alignment with market data. Individual level and base pay is determined on a case-by-case basis and may vary based on job-related skills, education, experience, technical capabilities and internal equity. In addition to base salary, for full-time hires, you may also be eligible for long-term incentives, in the form of stock options , and access to medical, vision and dental coverage, as well as access to a 401(k) retirement plan.