Jobs in the United States

25+ jobs

Save this search

Added 14 mins ago
Manufacturing Engineer - Press & Automation
General Motors
Warren, MI
As a Press and Automation Manufacturing Engineer, you will help design, implement, and optimize the press and automation systems that support our stamping operations. In this role, you will…
Added 14 mins ago
Simulation Lead Engineer (GPSSC)
General Motors
Warren, MI
Responsible for overall quality, on-time deliverables and application of lessons learned on all vehicles in the architecture.
Added 14 mins ago
Safety Performance Integration Engineer - Structure Performance (GPSSC)
General Motors
Warren, MI
GM's Global Product Safety, Systems and Certification (GPSSC) organization is seeking a Safety Performance Integration Engineer for Structure Performance to help make our vision of zero…
Added 14 mins ago
Assistant Director, Construction
General Motors
Warren, MI · Detroit, MI
…Construction is accountable for safe, predictable, and high-quality execution across this complex North American portfolio. The role leads through Construction Group Managers and Project…
Added 14 mins ago
Software Test Engineer
WCG Clinical
Lansing, MI
The Software Test Engineer is a member of the Quality Engineering team, responsible for supporting the testing, validation and delivery of WCG namedproducts and systems.The role applies…
Added 23 mins ago
Front End Engineer II (Remote)
CrowdStrike, Inc.
Remote, United States
CrowdStrike is seeking a front-end engineer for our Advanced Research team. You'll need to be a self starter who can manage and work across more than one project at a time while building…
Added 42 mins ago
Senior Engineer
Tenneco
Parwanoo, IN
Oversee and optimize manufacturing processes to enhance efficiency and quality.
Added 1 hour ago
Director of Geotechnical Engineering
Exodigo
Remote, United States
The ideal candidate is an experienced geotechnical engineer with strong industry relationships and expertise in complex civil infrastructure, particularly tunnels, bridges, and…
Added 1 hour ago
Director of Geotechnical Engineering
Exodigo
Remote, United States
The ideal candidate is an experienced geotechnical engineer with strong industry relationships and expertise in complex civil infrastructure, particularly tunnels, bridges, and…
Added 1 hour ago
Architectural Engineer
Vertiv
Pelzer, SC
Serve as Architectural Engineer (AE) to provide conceptual and detailed design of building architecture in post sales stage.
Added 1 hour ago
Lead Platform Engineer
The Guardian Life Insurance Company of America
NY
We are looking for a Lead Platform Engineer to improve the engineering experience across Guardian by identifying opportunities, partnering with engineering teams, and delivering reusable…
Added 1 hour ago
Engineer – Internal Logistics Innovation & Projects
TKY Toyota Motor Mfg Kentucky, Inc Company
Georgetown, KY
…and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for talented team members who want to…
Added 1 hour ago
Sr Consultant, Software Engineering - Forward Deployed Engineering
Nationwide Life and Annuity Insurance Co
OH · AZ · IA
As a Software Engineer, you’ll focus on mentoring and leading others to deliver high-quality, cost-effective technology solutions to business partners by crafting new software applications…
Added 1 hour ago
Consultant, Software Engineer - Platform Engineering
Nationwide Life and Annuity Insurance Co
OH · AZ · IA
As a Software Engineer, you’ll focus on mentoring and guiding others to deliver high-quality, cost-effective technology solutions to business partners by crafting new software applications…
Added 1 hour ago
Consultant, Software Engineer - Forward Deployed Engineering
Nationwide Life and Annuity Insurance Co
OH · AZ · IA
As a Software Engineer, you’ll focus on mentoring and guiding others to deliver high-quality, cost-effective technology solutions to business partners by crafting new software applications…
Added 2 hours ago
Senior Engineer, Water
Samsung Austin Semiconductor, LLC.
1530 FM 973 Taylor, TX
…Analysis and statistics; Risk assessment; Reliability Design and Quality; and Project…
Added 2 hours ago
Engineer, Analysis Engineering
Samsung Austin Semiconductor, LLC.
Austin, TX
…field and completion of an undergraduate-level course, research project, or internship involving the following: 1. Monitoring and debugging test failures; 2. Defect monitoring,…
Added 2 hours ago
DO
Principal Engineer, Water Resources
Department of Water Resources
CA
- $15,263 to $17,336 USD / month
…resources, systems, and infrastructure, including the State Water Project, in a responsible sustainable…
Added 2 hours ago
DO
Engineer, Water Resources
Department of Water Resources
CA
- $6,488 to $12,152 USD / month
Under the direction of the Senior Engineer, Water Resources, incumbent is responsible for performing engineering analyses related to SWP project facilities and the distribution of costs…
Added 2 hours ago
Software Engineer III, Infrastructure, Google Cloud Platforms
Google
Sunnyvale, CA · Kirkland, WA · New York, NY · Seattle, WA · Madison, WI
…mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as…
Added 2 hours ago
Program Manager (DC/MD/VA)
EMCOR Government Services, Inc.
DC
…satisfaction, operational excellence, financial management, safety, quality, subcontractor oversight, and workforce…
Added 2 hours ago
Release Train Engineer
Regions Bank
Charlotte, NC · Birmingham, AL · Atlanta, GA
Bachelor's degree in Computer Science or a related field and ten (10) years of experience as a Release Train Engineer, Scrum Master, Product Owner, or Agile Project/Program Manager
Added 2 hours ago
Software Test Engineer
WCG Clinical
Pierre, SD
The Software Test Engineer is a member of the Quality Engineering team, responsible for supporting the testing, validation and delivery of WCG namedproducts and systems.The role applies…
Added 3 hours ago
T
Lead Construction Services Professional - Transportation | Highway & Bridge
TKDA
Bloomington, MN
- $110,000 to $145,000 USD / year
…rehabilitation. Your practical field perspective will elevate our project delivery abilities by helping teams to anticipate construction challenges, resolve issues, and keep communication…
Added 3 hours ago
T
Construction Services Inspector / Field Engineer
TKDA
Bloomington, MN
- $67,500 to $84,999 USD / year
Every great project needs someone in the field making sure it's built right. That could be you.

Rhoda AI

Senior Inference Optimization ML Engineer

Mountain View,, CA, United States

Apply About employer

Applications open in a new tab.

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.

Apply About employer

Report this job