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Added 4 hours ago
Senior Software Engineer, Robotics Tracking and Fusion
Anduril Industries
Washington, DC · Waltham, MA
Ability to engineer robust systems for estimation theory, adaptive filtering, controls, and complex signal environments.
Added 4 hours ago
Senior Software Engineer, Robotics Tracking and Fusion
Anduril Industries
Waltham, MA
Ability to engineer robust systems for estimation theory, adaptive filtering, controls, and complex signal environments.
Added 5 hours ago
Software Engineer
Greywright Inc
Boston, MA
Greywright is hiring a Software Engineer to help build out and improve on ground control systems and the software running on our autonomous vehicles. You will develop features operators use…
Added 6 hours ago
Senior Associate, Software Engineer
L3Harris
Richardson, TX
Job Title: Senior Associate, Software Engineer
Added 10 hours ago
TT
Senior Software Engineer, Autonomous Systems
True Talent Solutions Partners
Palo Alto, CA
- $145,000 to $275,000 USD / year
- Work with robotics, hardware, sensing, and systems engineering teams to deliver integrated solutions.
Added 14 hours ago
Senior Industrial Engineer
Executive Recruiting Group
Westminster, MD
…requires a hands-on technical leader with deep experience in PLCs, robotics, automated tooling, and the conversion of manual tasks into automated processes. The Senior Industrial Manager…
Added 22 hours ago
Senior Inference Optimization ML Engineer
Rhoda AI
Mountain View,, CA
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…
Added 1 day ago
Senior Full Stack Robotics Engineer - Java/C++/TypeScript
Kelly Services
Boston, MA
A growing robotics technology company is seeking a Full Stack Engineer to develop software solutions that power next-generation robotic systems. This role focuses on building scalable…
Added 1 day ago
TT
Principal Software Engineer, Perception
True Talent Solutions Partners
Alameda, CA
- $300,000 to $380,000 USD / year
- Strong expertise in robotics or autonomous-systems perception, including state estimation, tracking, mapping, probabilistic estimation, and uncertainty modeling.
Added 1 day ago
Senior Controls Engineer II
Actalent
Erlanger, KY
We are seeking a highly skilled Controls Engineer II to design control systems for industrial material handling solutions. The ideal candidate will be responsible for concepting new ideas,…
Added 1 day ago
Senior Manufacturing Engineer
The Timken Company
Carson City, NV
CGI by Timken is seeking a Senior Manufacturing Engineer
Added 1 day ago
TI
Senior/Staff Software Engineer, Platform
Tutor Intelligence
San Francisco, CA
- $180,000 to $420,000 USD / year
We are looking for a Staff Software Engineer to lead the design and implementation of core software systems across our stack. This role is less about writing isolated features and more…
Added 1 day ago
TI
Senior/Staff Software Engineer, Robotics
Tutor Intelligence
San Francisco, CA
- $180,000 to $420,000 USD / year
Are you tired of writing incremental code for massive CRUD web apps? Do you want to architect and build systems from the ground up that affect change in the physical world, not just the…
Added 1 day ago
C
Senior Robotics Software Engineer
Clera
San Francisco, CA
- $185,000 to $235,000 USD / year
Join a defense technology team building autonomous robotics systems. You will develop and debug production C++ software on physical hardware, working across sensor data, tracking, controls,…
Added 1 day ago
Senior Research & Development Engineer
J&J Family of Companies
West Chester, PA
The Senior R&D Engineer will be responsible for the design and development aspects of complex systems and projects, technically leading cross-functional project teams through all phases of…
Added 1 day ago
VG
Senior Service Program and Asset Planning Manager, Volvo Autonomous Solutions
Volvo Group
Greensboro, NC
- $128,300 to $158,400 USD / year
We’re on a mission to unlock new growth opportunities for Volvo Autonomous Solutions. As the Senior Service Program Engineer and Asset Planning Manager, you will lead the development and…
Added 1 day ago
Staff Hardware Systems Engineer
Gather AI
Pittsburgh, PA
We're hiring a Staff Hardware Systems Engineer to own requirements, integration and verification and validation (V&V) for our warehouse robotics hardware: autonomous inventory drones,…
Added 1 day ago
Skunk Works Manufacturing Engineer Senior- Level 3
Lockheed Martin
Palmdale, CA
…Drives adoption of new technologies and processes (automation, robotics, computer aided manufacturing software, etc.) to achieve greater efficiency, cost reduction and quality improvement.…
Added 1 day ago
Manufacturing Engineer Senior- Level 3
Lockheed Martin
Palmdale, CA
…Drives adoption of new technologies and processes (automation, robotics, computer aided manufacturing software, etc.) to achieve greater efficiency, cost reduction and quality improvement.…
Added 1 day ago
Skunk Works Manufacturing Engineer Senior- Level 3- Clearance required
Lockheed Martin
Palmdale, CA
…Drives adoption of new technologies and processes (automation, robotics, computer aided manufacturing software, etc.) to achieve greater efficiency, cost reduction and quality improvement.…
Added 1 day ago
Senior Mechatronics Engineer
J&J Family of Companies
Santa Clara, CA
The Senior Mechatronics Engineer will lead the design, development, integration, verification, and lifecycle support of complex systems and equipment in a regulated MedTech environment. The…
Added 1 day ago
Sr Robotics Technical Support Engineer
J&J Family of Companies
Santa Clara, CA
The Senior Robotics Technical Support Engineer (Sr TSE) is responsible for providing customer-focused technical support for J&J MedTech Robotics capital equipment, serving as a technical…
Added 1 day ago
Executive Robotic Stapling Specialist (Los Angeles)
Medtronic
Los Angeles, CA
The Senior Stapling Robotics Specialist is a key technical and strategic expert responsible for driving market share growth in stapling technologies while pioneering robotic hybrid bedside…
Added 1 day ago
Senior Manufacturing Engineer, Coils (Madison, Alabama (AL), US, 35756)
SPX
Madison, AL
As senior manufacturing engineer on this campus, you will play a crucial role in improving production efficiencies, reducing costs, and enhancing overall manufacturing processes. Key to…
Added 1 day ago
Senior Mechanical Engineer
Parallel Robotics
Ann Arbor, MI
About Us ** Parallel Robotics designs and builds advanced dexterity robotic systems for healthcare (surgical robotics), industrial automation, automotive, and space applications. We are…

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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