About ZEDEDA ZEDEDA unlocks the value of AI where it matters most, enabling enterprises to create, secure and operate edge AI at scale. Backed by Lux.
About the role
This position is not eligible for visa sponsorship. Applicants must be authorized to work in the United States without employer sponsorship, now and in the future. We're looking for a curious, self-driven entry level Software Engineer who sits at the intersection of AI and cloud-native infrastructure. You'll work alongside experienced engineers on real-world problems in edge orchestration - problems that are often loosely defined, fast-moving, and require you to think from first principles.
What they're looking for
- Bachelor's or Master's degree in Computer Science, AI/ML, or a related technical field — or equivalent practical experience
- Foundational knowledge of machine learning concepts: neural networks, deep learning, model training and inference, and attention mechanisms (self-attention / transformers)
- Familiarity with ONNX models, GenAI model architectures, or frameworks like PyTorch or TensorFlow
- Comfort working with Git, submitting pull requests, reading diffs, and collaborating in a version-controlled environment
- Ability to work with vague or evolving problem statements and drive toward clarity independently
- Language-agnostic development mindset — you pick the right tool for the job and learn what you don't know
More about this role
This is an onsite position based in our San Jose, CA office. Candidates must be able to reliably commute to this location; relocation assistance and travel/commuting expenses are not provided.
Role Summary
This position is not eligible for visa sponsorship. Applicants must be authorized to work in the United States without employer sponsorship, now and in the future. We're looking for a curious, self-driven entry level Software Engineer who sits at the intersection of AI and cloud-native infrastructure. You'll work alongside experienced engineers on real-world problems in edge orchestration - problems that are often loosely defined, fast-moving, and require you to think from first principles. You bring energy, adaptability, and a genuine enthusiasm for using AI tools and technologies, both as the subject of your work and as instruments in how you work every day.
This role for a recent graduate or someone with up to two years of industry experience. You won't be handed a perfectly scoped ticket - you'll be trusted to figure things out.
- Design, develop, and maintain software components that bridge AI model lifecycle management with Kubernetes-based edge orchestration.
- Build and...
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