Remote jobs in the United States

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Added 1 hour ago
Solutions Architect (US only)
Bolder Apps
Remote, United States
Real integration design experience. Third-party APIs, webhooks, SSO and OAuth, background queues and failure handling
Added 2 hours ago
Solutions Lead, International Upmarket
Toast
Remote, United States
Engineer workarounds, and know when to hold the line. Design and document solutions to complex gaps, and judge when a workaround creates debt we'll pay for at go-live.
Added 2 hours ago
Full Stack Engineer (React Native)
Blink - The Employee App
Remote, United States
We're looking for a Full Stack Engineer with strong React Native experience to join a team of talented engineers building the future of the digital workplace. Our product is highly secure,…
Added 2 hours ago
Technical Escalation Engineer
Blink - The Employee App
Remote, United States
…comes in. You own what is left: the intermittent bugs, the integration failures, the data problems, the issues that only show up for one customer on one device at one time of day. You will…
Added 7 hours ago
A
Senior Web Applications Engineer
Aristotle
Remote, United States
- $140,000 to $175,000 USD / year
We are seeking a highly experienced Senior Web Applications Engineer to serve as a technical leader within our Software Development team. This role will own the design, architecture, and…
Added 8 hours ago
DevOps Engineer
Aravo Solutions, Inc.
Remote, United States
…incorporates cross-organizational collaborative workflows, data integration, and a rich user interface built on a complex data model. You will work on driving Operational Excellence and…
Added 8 hours ago
AC
Senior Sales Engineer
AppGate Cybersecurity, Inc.
Remote, United States
- $175,000 to $225,000 USD / year
The Senior Sales Engineer (SE) is the senior pre-sales subject matter expert for AppGate ZTNA and owns the technical engagement with commercial prospects from first meeting through…
Added 8 hours ago
AC
Senior Sales Engineer
AppGate Cybersecurity, Inc.
Remote, United States
- $175,000 to $225,000 USD / year
The Senior Sales Engineer (SE) is the senior pre-sales subject matter expert for AppGate ZTNA and owns the technical engagement with commercial prospects from first meeting through…
Added 8 hours ago
AC
Senior Sales Engineer
AppGate Cybersecurity, Inc.
Remote, United States
- $175,000 to $225,000 USD / year
The Senior Sales Engineer (SE) is the senior pre-sales subject matter expert for AppGate ZTNA and owns the technical engagement with commercial prospects from first meeting through…
Added 8 hours ago
Senior Solutions Engineer
Dossier
Remote, United States
We are hiring a Senior Solutions Engineer to own the demo and the technical win on our largest enterprise deals. This is a true pre-sales role: you partner with our Enterprise Account…
Added 8 hours ago
Senior Storage Engineer
Runware
Remote, United States
…500 million end users, with 400,000+ models behind a single integration, at up to 10x lower cost per token than traditional…
Added 8 hours ago
Senior Security Engineer
Runware
Remote, United States
…500 million end users, with 400,000+ models behind a single integration, at up to 10x lower cost per token than traditional…
Added 8 hours ago
Sr. Solutions Architect/Sales Engineer-AI Infrastructure (GPU) -West Coast
Liqid
Remote, United States
The right person can whiteboard a GPU inference cluster with a customer’s principal engineer, run a disciplined PoC against agreed success criteria, and translate the technical outcome into…
Added 8 hours ago
Sr. Solutions Architect/Sales Engineer-AI Infrastructure (GPU) -West Coast
Liqid
Remote, United States
The right person can whiteboard a GPU inference cluster with a customer’s principal engineer, run a disciplined PoC against agreed success criteria, and translate the technical outcome into…
Added 8 hours ago
C
Lead Cybersecurity Engineer - Innovation & Automation
Credence
Remote, United States
- $135,000 to $156,000 USD / year
The Lead Cybersecurity Engineer - Innovation & Automation will work closely with this position to support cybersecurity tool implementation, automation, engineering integration, technical…
Added 8 hours ago
Principal Engineer, Model Performance
Runware
Remote, United States
…500 million end users, with 400,000+ models behind a single integration, at up to 10x lower cost per token than traditional…
Added 8 hours ago
Software AI Engineer
neurohire.ai
Remote, United States
NeuroHire is seeking a motivated and technically talented Software AI Engineer to join our team. In this role, you will contribute to designing, developing, and integrating AI-powered…
Added 8 hours ago
Senior Project Manager
Sidetrade
Remote, United States
…signature into renewal, alongside a Functional Expert, a Data Engineer and a Customer Success Manager. The customer keeps the same team…
Added 8 hours ago
Senior Software Engineer
Sharetec
Remote, United States
Sharetec is looking for a Senior Software Engineer to join our API Development team!
Added 8 hours ago
Principal Consultant - Databricks
OZ Digital LLC
Remote, United States
…Development, Intelligent Automation, Enterprise Application Integration, Azure Data Strategy, and Artificial Intelligence to deliver rapid, effective…
Added 8 hours ago
V
Senior QA/SDET
Vouched
Remote, United States
- $180,000 to $210,000 USD / year
Serve fast-growing startups, unicorns, and large enterprises, with a focus on providing fast, easy integration for developers
Added 10 hours ago
Senior IT Systems Engineer - EHR (eClinicalWorks)
ICBD
Remote, United States
Senior IT Systems Engineer- EHR (eClinicalWorks)
Added 11 hours ago
CR
GenAI Forward Deployed Engineer (client facing) - Financial Services
Continuum Resource Network
Remote, United States
- $150,000 to $200,000 USD / year
Document solution architectures, technical requirements, and integration patterns for client environments.
Added 11 hours ago
CR
GenAI Forward Deployed Engineer (client facing) - Financial Services
Continuum Resource Network
Remote, United States
- $150,000 to $200,000 USD / year
Document solution architectures, technical requirements, and integration patterns for client environments.
Added 12 hours ago
Industry Solutions Engineer, Splunk - Energy and Utilities
Cisco Systems, Inc.
Remote, United States
Join a team of Splunk Solutions Engineers! The Energy and Utilities Industry Solutions Engineer leads targeted, business-outcomes. Accelerates GTM by developing repeatable use cases and the…

Runware

Principal Engineer, Model Performance

Remote, United States

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Job details

Posting language: English
Posted: Nov 6, 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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Skills

Deep learning
Python
C++
PyTorch
Communication skills

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