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Systems & Research Engineer

San Francisco Bay Area
Full Remote
This Job is No Longer Active This position is no longer accepting applications

Design and optimize production AI systems, focusing on inference, model serving, and performance engineering for freight and supply chain applications. Profile bottlenecks in GPU, CPU, memory, and network resources to improve throughput, latency, and cost efficiency. Demonstrate exceptional technical depth by designing and executing rigorous benchmarks and experiments to drive engineering decisions.

Key Highlights
100% remote role across the USA with fully asynchronous operations
Total compensation of USD $220K–$300K plus equity
High-bar role requiring evidence of exceptional work in AI systems and performance engineering
Key Responsibilities
Profile production AI systems to identify GPU, CPU, memory, or network bottlenecks
Benchmark serving frameworks such as vLLM and SGLang to evaluate performance
Investigate inference throughput and latency to optimize workloads
Evaluate open-source versus closed-source models for quality and economics
Build evaluation infrastructure and understand model behavior under real production traffic
Turn research findings into production architecture decisions
Technical Skills Required
Model Serving Inference Optimization Performance Engineering
Benefits & Perks
100% Remote Work
Equity Compensation
Optional San Francisco Office Access
Nice to Have
Experience working with modern coding agents

Job Description

“I’ve seen things you people wouldn’t believe.”

— Blade Runner

Now we’d like to see what you’ve built.

We’re recruiting a Systems & Research Engineer for a fast-growing US applied AI company building production systems for freight and global supply chains.

Founded by engineers from MIT and Stanford, the company raised $6M in seed funding in early2026 and is already operating AI products at serious real-world scale.

One of its core fraud and identity platforms now screens approximately 3,000 drivers every day.

The team is small.

The ambition isn’t.

And the engineering bar is deliberately high.

What You’ll Actually Do

This is not another generic AI Engineer role.

You’ll sit at the intersection of:

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