Description
Responsibilities
- Design, develop, test, and deploy software solutions using a variety of programming languages and technologies
- Implement and maintain both frontend and backend components of our applications
- Develop and optimize algorithms to solve complex problems
- Engineer low-latency solutions to proprietary computational operations
- Collaborate with cross-functional teams to understand and define software requirements
Qualifications
- Must be pursuing a Bachelor's, Master's, or PhD in Computer Science, Computer Engineering or related quantitative field from an accredited 4-year university
- Proficiency in Python and C++
- Familiarity with embedded and real-time systems programming
- Knowledge of software architecture and design paradigms
- Strong communication and teamwork skills
- Willingness to take ownership of projects and work autonomously
Bonus Qualifications
- A strong portfolio of personal software or hardware-related projects
- Familiarity with the CUDA toolkit and associated programming practices
- Familiarity with GPU-accelerated libraries such as PyTorch and OpenGL/ThreeJS
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