Jobs in the United States

25+ jobs

Group jobs by employerEmail me new jobs Save this search

Added 1 min ago
Enterprise Product Engineer - Fullstack
NVIDIA USA
CA
…technological advancement. We’re hiring a Senior Fullstack Engineer to develop the future of developer infrastructure with NVIDIA Brev. You’ll lead the development of dev-focused cloud…
Added 3 mins ago
DevOps Engineer
Majestic Labs
Los Altos, CA
As a Senior DevOps Engineer reporting to the DevOps Manager, you will own the infrastructure our engineers use to build, test and run Majestic Labs’ AI servers. The environment is hybrid:…
Added 4 mins ago
Software Engineer
Docusign
Seattle, WA
(Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
Added 6 mins ago
Substation Physical Designer III
Jobgether
Remote, United States
…expertise will directly contribute to advancing renewable energy infrastructure and accelerating the global energy…
Added 6 mins ago
J
Senior Associate Technical Consultant - CTEM / Vulnerability Management Engineer
Jobgether
Remote, United States
- $100,000 to $120,000 USD / year
…Associate Technical Consultant – CTEM / Vulnerability Management Engineer based in the United…
Added 7 mins ago
Lead Information Security Engineer - Red Team
Lumen
Bismarck, ND
At Lumen, you’ll work on infrastructure customers rely on today and build for what’s next, where performance, security, and resilience matter.
Added 7 mins ago
EG
Automated Test Engineer
Eliassen Group
Bismarck, ND
- $40 to $50 USD / hour
Our client seeks an Automated Test Engineer to support Hivemind by monitoring and maintaining large volumes of automated tests, troubleshooting failures, and driving bug resolution across…
Added 8 mins ago
G
Civil Project Manager-PE/PM - Salina
GPAC
Salina, KS
- $120,000 to $165,000 USD / year
Lead the design of site layouts, grading, drainage, stormwater management, utilities, and associated infrastructure.
Added 11 mins ago
Senior Storage Engineer
Runware
San Jose, CA
Runware is the AI inference platform that builds and runs its own infrastructure, end to end. Our Sonic Inference Engine has served more than 20 billion requests for over 1 million…
Added 11 mins ago
Senior Storage Engineer
Runware
San Francisco, CA
Runware is the AI inference platform that builds and runs its own infrastructure, end to end. Our Sonic Inference Engine has served more than 20 billion requests for over 1 million…
Added 11 mins ago
Principal Engineer, Model Performance
Runware
San Francisco, CA
Runware is the AI inference platform that builds and runs its own infrastructure, end to end. Our Sonic Inference Engine has served more than 20 billion requests for over 1 million…
Added 11 mins ago
Principal Engineer, Model Performance
Runware
San Jose, CA
Runware is the AI inference platform that builds and runs its own infrastructure, end to end. Our Sonic Inference Engine has served more than 20 billion requests for over 1 million…
Added 11 mins ago
Senior Storage Engineer
Runware
Palo Alto, CA
Runware is the AI inference platform that builds and runs its own infrastructure, end to end. Our Sonic Inference Engine has served more than 20 billion requests for over 1 million…
Added 11 mins ago
Senior Systems & Infrastructure Engineer
GEM Technologies
NY · New York, NY
GEM Technologies is looking for an experienced Senior Systems & Infrastructure Engineer who enjoys solving difficult technical problems and taking ownership of them through resolution.
Added 11 mins ago
Senior Wide Area Network Engineer
University System of Maryland Office
Adelphi, MD
The Senior Network Engineer provides technical leadership in the design, implementation, and operation of MDREN’s statewide Wide Area Network (WAN) and optical transport infrastructure.…
Added 11 mins ago
SP
UPS Service Engineer
Sure Power
Halethorpe, MD
- $100,000 to $150,000 USD / year
The UPS Service Engineer for Uninterrupted Power Source (UPS) systems is responsible for refurbishing, installation, preventive maintenance, routine repair and trouble-shooting of UPS…
Added 11 mins ago
SP
UPS Service Engineer
Sure Power
Sterling, VA
- $100,000 to $150,000 USD / year
The UPS Service Engineer for Uninterrupted Power Source (UPS) systems is responsible for refurbishing, installation, preventive maintenance, routine repair and trouble-shooting of UPS…
Added 12 mins ago
Lead Information Security Engineer - Red Team
Lumen
Carson City, NV
At Lumen, you’ll work on infrastructure customers rely on today and build for what’s next, where performance, security, and resilience matter.
Added 12 mins ago
EG
Automated Test Engineer
Eliassen Group
Carson City, NV
- $40 to $50 USD / hour
Our client seeks an Automated Test Engineer to support Hivemind by monitoring and maintaining large volumes of automated tests, troubleshooting failures, and driving bug resolution across…
Added 16 mins ago
G
Civil Project Manager-PE/PM - McPherson
GPAC
Mcpherson, KS
- $120,000 to $165,000 USD / year
Lead the design of site layouts, grading, drainage, stormwater management, utilities, and associated infrastructure.
Added 16 mins ago
G
Civil Project Manager-PE/PM - El Dorado
GPAC
El Dorado, KS
- $120,000 to $165,000 USD / year
Lead the design of site layouts, grading, drainage, stormwater management, utilities, and associated infrastructure.
Added 17 mins ago
G
Civil Project Manager-PE/PM - Arkansas City
GPAC
Arkansas City, KS
- $120,000 to $165,000 USD / year
Lead the design of site layouts, grading, drainage, stormwater management, utilities, and associated infrastructure.
Added 17 mins ago
G
Civil Project Manager-PE/PM - Independence
GPAC
Independence, KS
- $120,000 to $165,000 USD / year
Lead the design of site layouts, grading, drainage, stormwater management, utilities, and associated infrastructure.
Added 17 mins ago
G
Civil Project Manager-PE/PM - Iola
GPAC
Iola, KS
- $120,000 to $165,000 USD / year
Lead the design of site layouts, grading, drainage, stormwater management, utilities, and associated infrastructure.
Added 17 mins ago
G
Civil Project Manager-PE/PM - Marysville
GPAC
Marysville, KS
- $120,000 to $165,000 USD / year
Lead the design of site layouts, grading, drainage, stormwater management, utilities, and associated infrastructure.

Runware

Principal Engineer, Model Performance

San Francisco, CA, United States

Apply on jobs.workable.com About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Nov 10, 2026

Original job description

Runware is the AI inference platform that builds and runs its own infrastructure, end to end. Our Sonic Inference Engine has served more than 20 billion requests for over 1 million developers and 500 million end users, with 400,000+ models behind a single integration, at up to 10x lower cost per token than traditional providers. We are now building the AI Factory that runs it. The Sonic Inference Pod packs 1 MW of custom-designed compute into a 20-foot container with closed-loop, water-free cooling, sited wherever power exists. Pods are live in the US and Europe, and we are scaling to dozens of pods and tens of thousands of GPUs, all operated as one distributed fabric that reroutes traffic the moment a pod goes offline (announcement). Every request that hits that fleet, whether it is an image, a video, a voice or a token stream, has to come back faster and cheaper than anyone else can serve it. Model performance is what makes that true. That is the job. The role As Principal Engineer, Model Performance, you will own how fast and how cheaply every model on Runware runs: diffusion and video generation, speech, 3D and LLMs, across 400,000+ models and tens of thousands of GPUs. You will set the performance roadmap, build the hardest pieces with your own hands, and build and lead the Model Performance team as it grows around you. This is a principal-level role for someone who has led inference performance work at the frontier and still writes the kernel. You will decide where the next 2x comes from on a given model and hardware generation, whether that is a fused attention kernel, a better quantization recipe, speculative decoding, a smarter batching policy or a different parallelism layout, and then make it land in production on real traffic. You will work directly with the Sonic Inference Engine team, the infrastructure and hardware teams, and with NVIDIA and the open-source engine communities, and you will hire, mentor and lead the engineers who do this work alongside you. Success means Runware serves a new open model at the Pareto frontier of latency and cost within days of its weights being released, our cost per request keeps falling with every hardware generation, and the team you have built can do this without you in the loop. What you'll do

Own inference performance end to end for the fleet: the kernels, the serving engines, the model-level optimizations and the benchmarks that prove them, across image, video, audio, 3D and LLM workloads on every GPU generation we run.
Set the model performance roadmap. Decide which models, hardware and techniques get the team's attention and in what order, based on real traffic, real cost and what the next generation of pods will run.
Do the hardest work yourself: write and tune CUDA kernels, fuse attention and MLP paths, bring up new quantization formats (FP8, FP4, INT4) with quality held, and get new parallelism and batching strategies working on multi-GPU nodes.
Make new models fast on day one. Build the pipeline that takes a newly released open model from weights to a production-grade, optimized deployment in days, and keep closing that gap.
Choose and shape the serving stack: TensorRT-LLM, vLLM, SGLang, custom diffusion and video pipelines, and the Sonic Inference Engine's own runtime. Decide what we adopt, what we fork and what we write ourselves, and contribute upstream where it pays.
Own the benchmarking and performance regression system: reproducible, hardware-aware measurement of throughput, latency, cost and quality for every model we serve, wired into CI so that a regression never reaches a pod.
Partner with infrastructure and hardware engineering on GPU memory, storage and network bottlenecks that show up as inference latency, and feed what you learn back into the next generation of servers and pods.
Build and lead the team. Hire principal and senior engineers, set the bar for technical rigour, mentor the people on the team, and run it so that a very small group delivers performance across a very large model catalogue.
Use AI to accelerate the work: automated kernel search and tuning, benchmark generation, profiling triage and documentation with LLM-based agents, so that the team's output grows faster than its headcount.

What we're looking for

10+ years in GPU, HPC or deep learning systems engineering, with several of those optimizing inference performance for models in production at a company that runs them at scale.
A track record of shipping performance, not just measuring it. You have taken a state-of-the-art model from a reference implementation to the Pareto frontier of latency and cost on real hardware, and you know what breaks between the two.
Deep, current, hands-on CUDA and GPU architecture expertise: kernel design, memory hierarchy and occupancy, Tensor Cores, fused kernels, CUDA Graphs, NCCL, and the profilers (Nsight Systems and Compute) that show exactly where a microsecond goes.
Real production experience with at least one major inference engine (TensorRT-LLM, vLLM, SGLang or similar) and with the techniques that define modern serving: continuous batching, paged KV cache, speculative decoding, prefill/decode disaggregation, quantization and tensor, pipeline and expert parallelism.
Fluent in Python and C++, comfortable in PyTorch internals, torch.compile and Triton, and happy to write the benchmark, the kernel and the CI job yourself rather than waiting for someone else to.
Experience leading engineers: you have built or run a performance team, hired for it, set its technical direction and stayed hands-on while doing so.
You use AI to accelerate your own output every day, for kernel search, profiling analysis, benchmarking, documentation and code review, and you have a clear view of how a small team armed with these tools should operate differently.
Comfortable owning outcomes in a fast-moving, ambiguous environment, making decisions with incomplete information and being accountable for latency, cost and quality across hundreds of thousands of models.

Nice to have

Diffusion and video generation performance: DiT and UNet pipelines, attention at long sequence lengths, step distillation, caching across denoising steps, LoRA hot-swapping, and the loaders and samplers in ComfyUI, Diffusers or custom engines.
Contributions to TensorRT-LLM, vLLM, SGLang, FlashAttention, CUTLASS, Triton, Dynamo or similar open-source inference projects, or an open-source project of your own that people run.
Experience with Blackwell-generation hardware (B200, GB200/GB300 NVL72), NVLink and NVSwitch topologies, and multi-node inference over InfiniBand or RoCE.
Mixture-of-experts serving: expert parallelism, expert placement and load balancing, and the memory and communication trade-offs that come with them.
Accuracy evaluation for optimized models: the harnesses, datasets and statistical discipline to prove a quantized or distilled model is as good as the original.
Experience with non-NVIDIA accelerators (AMD, TPU or custom silicon) and with porting an inference stack across them.
Speech and audio model serving: streaming ASR and TTS with tight latency budgets.
Published work, patents or talks on inference performance.

What we offer

A rare mandate: own inference performance for one of the largest model catalogues in the world, on hardware the company designs and operates itself, at a business whose margin is your work, with the GPU budget and backing to match.
Meaningful stock options.
We're a remote-first collective, meeting in person twice a year to plan, brainstorm and celebrate wins. We keep core hours for collaboration and calls; outside those, you set your own schedule.
Our release cycles are fast and intense, and they're followed by real downtime. We expect you to take it.
Generous paid time off, including vacation, sick days and public holidays.
Paid maternity, paternity and caregiver leave.
Twice-yearly company retreats in inspiring locations.

Apply on jobs.workable.com About employer

Report this job

Work requirements

Jobs in the United States