On-device & Edge Engineers (Apple/NVIDIA silicon, performance)

Required

• ▸Systems and performance engineering on Apple or NVIDIA silicon
• ▸On-device inference in practice: quantisation, memory layout, and working inside thermal limits
• ▸You profile before you optimise and can prove the win with numbers
• ▸Comfort at the boundary between model and machine, rather than treating either as somebody else's layer

Nice to have

• ▸Core ML, Metal, CUDA, or TensorRT specifically
• ▸Kernel or compiler work
• ▸You have published benchmarks somebody else could reproduce

What winning looks like

• ▸On-device tokens/sec and memory footprint within target
• ▸Share of workloads served on-device vs cloud
• ▸Battery and thermal headroom on reference hardware

What comes with the job

• ▸Stock options for every full-time teammate, four-year vesting with a one-year cliff
• ▸Annual performance bonus, or on-target earnings with uncapped commission for customer-facing roles
• ▸Medical, dental and vision for you and your family, plus life and disability cover, on the highest plan tier available to us
• ▸A 401(k) with company matching
• ▸Pay reviewed every year and on promotion, benchmarked to your role and market
• ▸A budget of AI tokens of your own
• ▸Gym membership, and retailer discounts redeemed through our benefits app
• ▸Remote-friendly around your family, arranged one person at a time
• ▸$1,000 plus $10,000 in equity for a referral we hire who stays a year

Apply

Apply for On-device & Edge Engineers (Apple/NVIDIA silicon, performance)

One short form, right here. A person reads every application and you hear back either way. You get your own link to check where things stand, and you can withdraw or delete your application from it at any time, without an account.