Jobs in the United States

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Added 1 min ago
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Water/Wastewater Engineer PM/PE
GPAC
Greensboro, NC
- $105,000 to $140,000 USD / year
Active Professional Engineer (PE) license required, preferably in Minnesota or the ability to obtain Minnesota licensure through reciprocity
Added 8 mins ago
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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 13 mins ago
Principal Engineer, Model Performance
Runware
San Francisco, CA
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…
Added 13 mins ago
Principal Engineer, Model Performance
Runware
San Jose, CA
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…
Added 14 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 24 mins ago
Lead, Systems Engineering (NSDC Operations Lead)
L3Harris
Schriever AFB, CO
The Tie Dye program is seeking highly skilled and motivated Systems Engineer to join our dynamic team. The ideal candidate will have a background in orbital mechanics, space systems, space…
Added 24 mins ago
IG
Scrum Master / Software Systems Engineer
Insight Global
Louisville, CO
- Up to $85 USD / hour
We are seeking a Scrum Master / Software Systems Engineer to support the development and delivery of complex software for space and aerospace systems. This individual will serve as the…
Added 25 mins ago
Facilities Engineer
University of Colorado Denver
Boulder, CO
Added 25 mins ago
EI
Manufacturing Systems Engineer Co-Op
Entegris, Inc.
Colorado Springs, CO
- $20 to $30 USD / hour
Added 25 mins ago
Mechanical Engineer
Oasis Systems LLC
Colorado Springs, CO
Added 25 mins ago
Project Engineer - Design Build (Water Infrastructure)
Jacobs
Denver, CO
We're looking for a motivated Project Engineer with 2-5 years of experience to join our Design-Build team supporting the delivery of a landmark water treatment facility in Farmington, New…
Added 26 mins ago
Application engineering Analyst - Java, Spring Boot, GCP
Accenture Flex LLC Company
Bentonville, AR
As a Custom Software Engineer, you will be responsible for developing custom software solutions to design, code, and enhance components across systems or applications. You will utilize…
Added 26 mins ago
Application engineering Analyst - Java Backend, BQ
Accenture Flex LLC Company
Bentonville, AR
As a Custom Software Engineer, you will be responsible for developing custom software solutions to design, code, and enhance components across systems or applications. You will utilize…
Added 32 mins ago
BIOS Firmware Engineer
Advanced Micro Devices, Inc
Austin, TX
AMD’s Server BU is looking for an experienced Lead System Firmware Engineer to lead, debug and integrate firmware solutions for components in Server BU product line EPYC SP7, SP5 family.…
Added 32 mins ago
PMTS Hardware Development Eng.
Advanced Micro Devices, Inc
Santa Clara, CA
We are seeking a highly experienced Principal Engineer for Co-Packaged Optics (CPO) and Near-Packaged Optics (NPO) to lead the architecture, design, implementation, integration, and…
Added 32 mins ago
Software System Design Engineer
Advanced Micro Devices, Inc
Austin, TX
The right engineer will drive the success AMDs CPU adoption in the cloud through leadership & coordination, resolution of technical dependencies, and achievement of schedule commits. This…
Added 32 mins ago
Power Analysis & Optimization Engineer
Advanced Micro Devices, Inc
Orlando, FL
The ideal candidate is a collaborative and analytical engineer who enjoys understanding complex technical problems and turning data into actionable insights. You are curious about how…
Added 43 mins ago
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Security Machine Learning Engineer/ Researcher
Stellar Cyber
Remote, United States
- $150,000 to $215,000 USD / year
To accelerate our growth, we are seeking a highly skilled and experienced Machine Learning Engineer / Researcher to join our cybersecurity team. As a Machine Learning Engineer / Researcher,…
Added 43 mins ago
Lead Web Engineer
Genki
Remote, United States
We're hiring a Lead Web Engineer to own the technical direction of all our internal and public web projects: unify what's grown organically, and build the foundation for what comes next.…
Added 1 hour ago
Software Engineer II
Computer Task Group, Inc
Buffalo, NY · Wilmington, DE
CTG is seeking to fill a Software Engineer II opening for our client.
Added 1 hour ago
Software Engineer II
Computer Task Group, Inc
Buffalo, NY · Wilmington, DE
CTG is seeking to fill a Software Engineer II opening for our client.
Added 1 hour ago
SU
Mobile / UI/UX Engineer
Stanbridge University
Remote, United States
- $115,000 to $150,000 USD / year
Stanbridge University is seeking a highly capable, product-minded Mobile / UI/UX Engineer to design, develop, and enhance our growing ecosystem of student-facing digital platforms.
Added 1 hour ago
Instrumentation & Control Engineer
Westinghouse Electric Company
New Stanton, PA
Added 1 hour ago
Senior Industrial Engineer - Simulation
BAE Systems
York, PA
…BAE Systems is looking for a self-motivated Senior Industrial Engineer to support the production of armored military vehicles. Working as a team member of a larger Industrial Engineering…
Added 1 hour ago
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Manufacturing Engineer
GPAC
Cheektowaga, NY
- $80,000 to $100,000 USD / year
Must possess a valid driver's license

Runware

Principal Engineer, Model Performance

San Jose, CA, United States

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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.

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Jobs in the United States