About Mindbeam
We are building the next-generation AI infrastructure for open source and enterprise. Our work is deeply research-oriented and focused on developing groundbreaking innovations to take state-of-the-art AI applications to the next level.
Mission
Design and deliver AI solutions that enable enterprises to deploy, scale, and optimize generative AI workloads with speed, efficiency, and reliability.
Melbourne, Victoria, Australia
Role Expectations
Architect and optimize end-to-end AI infrastructure solutions using Mindbeam’s frameworks.
Develop integrations with channel partner technologies.
Guide clients through technical evaluations, deployments, and optimizations.
Collaborate with internal teams to align architecture with customer needs.
Present solutions clearly in client-facing engagements.
Background
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field—or equivalent work experience.
2+ years of experience in AI/ML architecture, implementation, or technical consulting.
Strong knowledge of ML frameworks (PyTorch, TensorFlow, JAX) and distributed computing.
Hands-on expertise with Kubernetes (EKS/EC2), Docker, and cloud platforms (AWS, NVIDIA).
Familiarity with DevOps practices, security, and compliance in enterprise settings.
Excellent problem-solving skills in production environments.
About You
You combine technical depth with strong communication skills, making you a trusted partner to both engineers and executives. You approach challenges with curiosity, creativity, and a willingness to experiment boldly.
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent work experience
- 2+ years of experience in AI/ML architecture, implementation, or technical consulting
- Strong knowledge of PyTorch, TensorFlow, JAX, and distributed computing
- Hands-on expertise with Kubernetes, EKS/EC2, Docker, and cloud platforms including AWS and NVIDIA
- Familiarity with DevOps practices, security, and enterprise compliance
- Excellent problem-solving skills in production environments
- Strong communication skills for working with engineers, executives, and clients
What We Do
Mindbeam AI builds next-generation AI infrastructure for generative AI applications. Its Litespark framework uses advanced algorithms to accelerate language-model training and inference workloads while remaining compatible with standard machine-learning frameworks. The company also develops high-throughput, low-latency inference technology designed to reduce memory usage and support deployment across hardware such as consumer CPUs. Its work focuses on making AI development faster and more efficient.
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