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AI (ML) Engineer - Colorado Springs, CO
Davidson Technologies, Inc.
Colorado Springs, CO
- $119,000 to $142,000 USD / year
Davidson is seeking an AI (ML) Engineer in Colorado Springs, CO.
Added 19 mins ago
Forward Deployed Engineer, AI Transformation -Senior Vice President
Citigroup
Irving, TX
We are seeking a highly motivated and innovative Forward Deployed Engineer to join our dynamic team. In this pivotal role, you will be at the forefront of our AI transformation journey,…
Added 36 mins ago
Senior Switch Software Researcher
NVIDIA Corporation
North District, IL
…join our team of experts and help shape the future of high-performance ML/AI computing. You will have the opportunity to work on some of the most pioneering technologies and help drive the…
Added 36 mins ago
Senior Solution Architect, Networking Solutions Labs
NVIDIA Corporation
North District, IL
…solutions, including solution architecture, HW and SW deployment, performance, and return on investment analysis. You will work with software developers and architects to research and…
Added 36 mins ago
Senior Synthesis CAD Engineer
NVIDIA Corporation
North District, IL
Join NVIDIA’s powerful Networking Silicon engineering team as a Synthesis Senior CAD Engineer! In this pivotal role, you'll be at the forefront of developing the industry’s advanced…
Added 36 mins ago
Senior High Speed Optical Transceiver Design Engineer
NVIDIA Corporation
North District, IL
…networking technologies. Our products optimize data center performance and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of sectors including high…
Added 36 mins ago
Senior VLSI CAD and AI Automation Engineer
NVIDIA Corporation
North District, IL
…tools and make a significant impact in a collaborative, high-performance environment. Are you ready to push the boundaries of what’s possible in VLSI CAD? Come be part of our pioneering…
Added 37 mins ago
Technical Lead, SWE
Kastle
San Francisco, CA
…works in the real world, where precision, reliability, and performance matter, and help redefine access to credit, read…
Added 38 mins ago
Principal Open-Source Networking Architect
NVIDIA Corporation
North District, IL
…join our team of experts and help shape the future of high-performance ML/AI computing. You will have the opportunity to work on some of the most pioneering technologies and help drive the…
Added 38 mins ago
Senior System Software Architect, AI Networking
NVIDIA Corporation
North District, IL
We are seeking a highly motivated architect to join our team of experts and take part in shaping the future of high-performance ML / AI computing. Our next-generation Spectrum-X, InfiniBand…
Added 38 mins ago
Senior AI Networking System Architect
NVIDIA Corporation
North District, IL
We are seeking a highly motivated High-Performance System Architect to join our team of experts and help shape the future of high-performance and ML / AI computing. Our next-generation NVL…
Added 41 mins ago
Senior Hardware Engineer
NVIDIA Corporation
North District, IL
…for NVIDIA next-generation servers focusing on accelerated performance while enabling optimized end to end GPU…
Added 41 mins ago
Senior Site Reliability Engineering - Storage
NVIDIA Corporation
North District, IL
We are seeking a Senior Site Reliability Engineer – Storage, you will own the reliability, performance, and scalability of our global NAS, SAN, and Object Storage platforms that power…
Added 45 mins ago
Senior PHY System Integration Engineer
NVIDIA Corporation
North District, IL
…networking technologies. Our products optimize data center performance and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of sectors including high…
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Board Design Engineer, Sustain
NVIDIA Corporation
North District, IL
…NVIDIA next-generation data centers focusing on accelerated performance while enabling optimized end to end GPU…
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Board Design Engineer, NVLINK
NVIDIA Corporation
North District, IL
…for NVIDIA's next-generation servers, focusing on accelerated performance and creating optimized, end-to-end GPU connectivity. Our products deliver industry-leading bandwidth and…
Added 45 mins ago
Senior Software Developer
NVIDIA Corporation
North District, IL
We are looking for an enthusiastic software engineer to join our AI networking acceleration team, to work on a groundbreaking open-source library, using hardware offloads, GPU Kernels and…
Added 48 mins ago
Senior DevOps Engineer
NVIDIA Corporation
North District, IL
Our team is looking for a Senior DevOps Engineer to join us and take ownership of the CI/CD infrastructure, automation pipelines, and development tooling that power our engineering teams.…
Added 49 mins ago
Cyber Operate Manager - GCP Cloud DevOps Engineer
Deloitte US
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Deloitte is seeking a Lead Managed Services Engineer II to design, automate, and operate enterprise-scale cloud capabilities that support clients’ critical cyber assets. In this role, you…
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Senior Data Scientist - TS/SCI Clearance Required
Deloitte US
Tampa, FL
Join Deloitte’s AI & Engineering team as a Project Data Management Engineer III and help public-sector clients use data, artificial intelligence (AI), and machine learning (ML) to address…
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Petrotechnical Data Solutions Engineer (Upstream)
Deloitte US
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Life Sciences Data Management, Senior (MDM/DGov)
Deloitte US
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Life Sciences Solutions Engineer, AVP (Commercialization)
Deloitte US
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Life Sciences Solutions Engineer, Senior (Commercialization)
Deloitte US
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Life Sciences Solutions Engineer, Lead (Commercialization)
Deloitte US
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…businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through…

Rhoda AI

Senior Inference Optimization ML Engineer

Mountain View,, CA, United States

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Job details

Experience: 2+ years of experience in inference optimization, ML systems, ML compilers, or a closely related field.
Posting language: English
Posted: Nov 1, 2026

Original job description

At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $450M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.

Running large multimodal foundation models for a growing fleet of robots is expensive. We can't rely on one hardware vendor or the most expensive accelerators. We're looking for an Inference Optimization engineer to make Rhoda's models run fast, correctly, and cheaply on a wide range of hardware: AMD Instinct GPUs, Google TPUs, wafer-scale and dataflow accelerators, consumer GPUs like the RTX 5090, and the Jetson/Thor-class compute on our robots. You'll decide which chip runs which workload, and then make sure it runs well there. You'll work closely with the research, robotics, and infrastructure teams.

WHAT YOU'LL DO

Own cost-efficient inference end-to-end. Make Rhoda's foundation models (vision, video, language, proprioception, action) faster and cheaper to run, measured in latency, throughput, and cost per inference.
Port and optimize models for non-NVIDIA and lower-cost hardware. This includes AMD (ROCm, HIP, MIOpen/hipBLASLt, Composable Kernel), TPU (XLA, JAX, Pallas, PyTorch/XLA), wafer-scale and dataflow accelerators (their SDKs and compilers), and consumer Blackwell GPUs such as the RTX 5090 (FP8/FP4, small memory, multi-GPU setups over PCIe).
Own on-robot inference. Deploy and optimize models on Jetson/Thor-class embedded compute under tight latency, power, thermal, and memory limits, and decide how work is split between the robot and the cloud to meet real-time control requirements.
Evaluate hardware rigorously. Build cost/performance models (perf/$, perf/W, memory capacity and bandwidth, interconnect) for each chip and model family. Write clear recommendations on which hardware to buy or rent for serving, offline evaluation, and on-robot use.
Build hardware-portable optimizations. Write and tune kernels that work across vendors where possible (Triton, Pallas, MLIR-based compilers) and vendor-specific ones where the speedup justifies it. Handle attention, KV cache, memory layout, and fused operators on every backend.
Apply model compression for constrained hardware. Use quantization (INT8, FP8, FP4/MX formats, AWQ/GPTQ), pruning, distillation, and model or tensor parallelism so models fit and perform well on chips with less memory or limited data-type support.
Keep results correct and consistent across backends. Build tests that check numerical parity, policy quality, and robot-relevant behaviour, so a model gives the same results whichever chip it runs on.
Build benchmarking and regression infrastructure across hardware. Track latency baselines, throughput curves, and cost per inference for every model version on every target, with automated detection of regressions.
Work with research engineers to design models that stay efficient and portable from the start, for example by avoiding operators that only exist on one vendor's hardware.

WHAT WE'RE LOOKING FOR

2+ years of experience in inference optimization, ML systems, ML compilers, or a closely related field.
Deep hands-on experience with PyTorch.
Strong understanding of compute, memory bandwidth, memory capacity, and interconnect bottlenecks, and how they change from one hardware architecture to another.
Experience with model optimization techniques: quantization (INT8/FP8/FP4, AWQ), distillation, pruning, and compilation (torch.compile, XLA, TensorRT, IREE/MLIR, TVM, or vendor compilers).
Familiarity with inference serving frameworks and their support for different hardware (e.g. vLLM on ROCm/TPU, SGLang, JetStream, Triton Inference Server).
Excellent debugging and measurement skills. You can take "this is slow on chip X" or "this costs too much" and turn it into clear bottlenecks, experiments, and validated improvements.
A high-ownership, pragmatic mindset. You care about the total cost of a solution, not just peak benchmark numbers.

NICE TO HAVE (BUT NOT REQUIRED)

Experience optimizing inference for diffusion models.
Production or deep project experience with at least one accelerator stack other than NVIDIA datacenter GPUs: AMD ROCm, Google TPU, wafer-scale and dataflow accelerators, Groq, Tenstorrent, AWS Trainium/Inferentia, Intel Gaudi, or similar, or serious work deploying on consumer GPUs.
Kernel authoring on more than one backend: HIP or Composable Kernel on AMD, Pallas on TPU, Triton on both NVIDIA and AMD, CUTLASS/CuTe.
Contributions to open-source ML compilers or hardware backends (PyTorch, OpenXLA, Triton, vLLM, IREE, TVM).
Experience running inference on wafer-scale systems, TPU pods, or fleets of consumer GPUs.
Hands-on experience with Jetson/Thor-class platforms (TensorRT on Jetson, JetPack, DLA, power and thermal profiling).
Experience with multimodal or video model inference (variable-length sequences, packing/bucketing).
Speculative decoding, continuous batching, disaggregated prefill/decode, or other LLM serving optimizations.
Experience with streaming or low-latency systems for real-time robot control.
Experience working with hardware vendors on driver or compiler bugs and early-access silicon.

WHY THIS ROLE

Direct impact on cost and scale. Every gain in perf/$ you deliver lowers the cost of serving models and evaluating new ones, and of putting capable models on many more robots.
Strategic influence over hardware. Your benchmarks and recommendations will directly shape which accelerators Rhoda buys and builds on, in the cloud and on the robot.
High ownership on a small, elite team. You'll own the optimization layer that decides how fast and how cheaply our foundation models run in the real world, on every target we use.

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