On-device AI Frameworks Engineer (Staff)

Argmax • Palo Alto, CA

23h • Hybrid

About The Position

Argmax is hiring a Staff Engineer for its On-device AI Frameworks team. The role involves designing, implementing, and optimizing software frameworks with developer-friendly APIs for running advanced inference workloads natively on Apple and Android devices. The frameworks are a core part of Argmax SDK, a developer toolkit used by enterprises and developers, including in high-stakes industries such as healthcare. The engineer will collaborate with researchers and engineers to advance on-device inference technology and support customer adoption, sometimes in a forward-deployed capacity.

The engineer will work with the Applied Research team to turn Python research prototypes into production-ready framework features using test-driven development. This may include experimentation and benchmarking that contributes to AI research conference submissions. As supported models and workloads expand, the engineer will help shape SDK and framework design, recommend scalable patterns, and minimize technical debt. The role also involves working directly with enterprise customer engineering teams during onboarding, answering questions, and adapting Argmax features to customer requirements.

Requirements

• At least 3 years of hands-on experience in SDK or framework development for iOS or macOS.
• Fluency in Swift.
• Fluency in profiling and optimizing native applications.
• Familiarity with at least one of Core ML, MLX Swift, LiteRT, ONNX, WebGPU, or ExecuTorch.

Nice To Haves

• At least 5 years of hands-on experience in SDK or framework development for iOS or Android.
• A track record of significant open-source contributions.
• Fluency in Swift, Kotlin, and Python.
• Direct experience with Core ML, MLX Swift, and LiteRT.

Responsibilities

• Turn Applied Research team's Python prototypes into production-ready implementations for AI frameworks using test-driven development.
• Collaborate on experimentation and benchmarking, potentially contributing to AI research conference submissions.
• Contribute to SDK and framework design by recommending scalable design patterns as supported models and workloads grow.
• Work with enterprise customers' engineering teams during onboarding, including answering questions and customizing Argmax features to meet customer requirements.

Benefits

• Top-of-market equity at a fast-growing early-stage startup.
• Performance-based equity refreshers twice a year.
• Palo Alto office offers comprehensive on-site amenities, including chef-catered meals.
• Platinum-tier healthcare with 90% employer contribution, including dependents.
• 401(k) match.
• Quarterly in-person team-building weeks in Palo Alto, CA.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed