Full Stack Engineer

Acceler8; Washington; On-site; USD 160,000 - 220,000; Full time

Benefits offered by this job

Equity

Relocation support

Opportunity to work with AI infra

Job summary

Acceler8 Talent in Seattle is seeking a seasoned Full-Stack Engineer to help build AI infrastructure and scalable software for an energy-efficient inference platform.

You will own features end-to-end across front-end dashboards and back-end services, collaborate with ML, systems, and FPGA teams, and grow into performance engineering responsibilities.

The role includes a base salary of $160k–$220k, equity, and relocation support, with the startup culture and fast-paced priorities.

Qualifications

• 5+ years of software engineering experience, with flexibility for exceptional candidates with 3+ years.
• Deep full-stack expertise across front-end applications and back-end services.
• Experience owning and delivering features end to end.
• Genuine interest in expanding into performance engineering and AI infrastructure.

Responsibilities

• Build and maintain front-end dashboards and user interfaces.
• Develop back-end services that support the platform.
• Own features across the front end and back end.
• Collaborate with ML, systems software and FPGA design teams.
• Contribute to performance software and AI infrastructure as workloads evolve.

Skills

Full-stack development

Front-end development

Back-end development

Feature ownership

Performance engineering

Job description

Full-Stack Engineer - AI Infrastructure

Seattle, WA

I'm working with an AI infrastructure startup building a software and hardware platform to make large-scale AI inference more affordable and energy efficient.

Founded by former Apple, Meta and Xnor.ai researchers, they combine model optimization, serving software and reconfigurable FPGA hardware, targeting up to 50x lower inference costs and 80% lower energy consumption.

They've raised approximately $34M from investors including FUSE, Ubiquity Ventures and Liquid 2 Ventures, and are already generating revenue through commercial deployments.

This is an opportunity to own full-stack development within a team of around 30 people, while expanding into performance engineering and AI infrastructure.

You'll work on:

• Building and maintaining front-end dashboards and user interfaces
• Developing back-end services that support the platform
• Owning features across the front end and back end
• Collaborating with engineers across ML, systems software and FPGA design
• Contributing to performance software and AI infrastructure as workloads evolve

Requirements:

• Typically 5+ years of software engineering experience, with flexibility for exceptional candidates with 3+ years
• Deep full-stack expertise across front-end applications and back-end services
• Experience owning and delivering features end to end
• Genuine interest in expanding into performance engineering and AI infrastructure
• Adaptability and enthusiasm for working across changing startup priorities
• Experience in AI infrastructure, performance engineering or hardware-focused startups is especially valuable, but isn't required.

Package: $160K-$220K base salary + equity + $10K relocation support