Senior Network Infrastructure Engineer - Dragonfly Portfolio in United States, California at Dragonfly
NewEmployment Type: Full-Time
Dragonfly
United States, California, United States
Posted on
New job! Apply early to increase your chances of getting hired.
Explore Related Opportunities
Database and Network Administrators and Architects jobs near me in CaliforniaJobs near me in CaliforniaDatabase and Network Administrators and Architects jobs
Job Description
Dragonfly is a crypto-native Venture Capital and research firm with $3.6B+ in assets under management and 160+ portfolio companies. Our Talent team connects people with roles across our portfolio, opening the door to opportunities through our Talent Network.
This is an application to join our talent network. This is not a listing for an internal role at Dragonfly.
We're actively sourcing for a Senior Inference Optimization Engineer for one of our portfolio companies building privacy-first consumer AI infrastructure. You'll be on the bleeding edge of LLM inference performance, pushing throughput, driving down latency, and optimizing cost per token at significant scale.
Location: Remote, USA (open to excellent candidates outside the USA)
What We’re Looking For:
- 5+ years in performance optimization or HPC with deep GPU architecture and parallel programming knowledge
- Hands-on experience with at least one production LLM inference engine (vLLM, SGLang) running at high volume
- Demonstrated experience with LLM inference optimization: continuous batching, PagedAttention, KV cache management, speculative decoding, quantization, CUDA graphs, torch.compile
- Experience with distributed inference strategies: tensor parallelism, pipeline parallelism, MoE parallelism in multi-GPU and multi-node environments
- GPU profiling fluency: Nsight Systems, Nsight Compute, PyTorch Profiler
- Proficiency in Python, Rust, or Go. C++/CUDA a strong plus
- Bonus: custom Triton kernels, diffusion/image model inference optimization, open-source inference framework contributions
About the role:
- Stand up and optimize GPU infrastructure including B300 nodes in owned data centers
- Drive down TTFT and TPOT, push throughput, and improve cost per token for LLM inference workloads
- Build reproducible benchmarking harnesses across inference engines to identify optimal engine, quantization scheme, and parallelism strategy per workload and GPU SKU
- Optimize multivariate inference load-balancing algorithms within the inference routing system
- Evaluate emerging inference optimization techniques including custom CUDA/Triton kernels, novel attention variants, new quantization schemes, and compilation stack improvements
- Evaluate emerging inference hardware (FPGAs, ASICs, custom silicon) for viability in the stack
Even if you don't match every point above but are an engineer passionate about AI and/or crypto, we encourage you to apply. There may be other opportunities that fit your skill set.
Process:
- We'll review your application and assess fit for this role.
- If there's a match, we'll facilitate a warm introduction to the team.
- If the timing isn't right, we'll keep you in mind for future opportunities across the portfolio.
Submit your information below, and we’ll reach out if there’s a potential fit.
Scan to Apply
Just scan this QR code to apply from your phone.
Job Location
United States, California, United States
Frequently asked questions about this position
Similar Jobs In United States, California
Software Engineering - Data Engineer
Voltai
Menlo Park, CA, California
Legal Operations Specialist
Luma
Redwood City, California
Wireless Modem Implementation Engineer (DSP & 5G PHY Specialist)
E-Space
Saratoga, California
Senior Data Engineer
Chartmetric
San Mateo, California
Senior / Staff Site Reliability, Platform Engineering
Saviynt
Milpitas, California
Continue to apply
Enter your email to continue. You’ll be redirected to the employer’s application.By clicking Continue, you understand and agree to JobTarget's Terms of Use and Privacy Policy.