General Engineering Applicant
Atomic Industries · Cleveland, OH · 22 mo ago
HybridEngineering$95k–$225k/yrFull-time
About the role
As a Software Engineer at Atomic Industries, you will be part of a team that is revolutionizing the manufacturing industry by automating tool and die making processes. Your work will involve developing software solutions that leverage deep learning and other advanced methodologies to improve productivity and efficiency.
Responsibilities
- Develop and maintain software for automated tool and die making processes
- Collaborate with cross-functional teams including mechanical engineers, data scientists, and product managers
- Implement machine learning models to optimize manufacturing workflows
- Contribute to the continuous improvement of existing software tools
- Stay updated with the latest advancements in deep learning and reinforcement learning
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field
- 3+ years of experience in software development, preferably in C++, Python, and related technologies
- Experience with deep learning frameworks such as TensorFlow, PyTorch, or similar
- Strong understanding of reinforcement learning algorithms and their applications
- Experience with CUDA and GPU programming
- Excellent problem-solving skills and ability to work independently and as part of a team
Qualifications
- Passionate about using technology to solve complex engineering challenges
- Ability to work in a fast-paced, dynamic environment
- Strong communication and collaboration skills
Skills
- C++, Python
- Deep Learning
- Reinforcement Learning (RL)
- CUDA
- Machine Learning
Benefits
- Competitive salary range of $95K - $225K
- Flexible work schedule options including remote work
- Health insurance and retirement plans
- Professional development opportunities
- Work-life balance with generous vacation time
Pay
- $95K - $225K
Schedule
- Detroit, MI, US / Cleveland, OH, US / Los Angeles, CA, US / Remote (US)
Atomic currently offers a challenging environment for engineers from computational geometry/meshing/CFD, to physical HPC + ML problems.
Skills
- C++, Python, Deep Learning, Reinforcement learning (RL), CUDA, Machine learning