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Added 24 mins ago
THIS POSTING IS INTENDED FOR THOSE REGISTERED TO ATTEND THE SOCIETY OF HISPANIC PROFESSIONAL ENGINEERS CONFERENCE, Oct 28 - 31st in Indianapolis, IN
Medtronic
Boston, MA
For Engineer I opportunities, we are looking for a minimum of a Bachelor's Degree, completed by May 2026, with 0+ years of experience.
Added 1 hour ago
Digital Support Engineer
Roche
Indianapolis, IN
…benefits to patients and healthcare professionals - from early detection and prevention of diseases to diagnostics, treatment and treatment monitoring. Roche is a successful company that…
Added 1 hour ago
Digital Solutions Engineer
Roche
Indianapolis, IN
…benefits to patients and healthcare professionals - from early detection and prevention of diseases to diagnostics, treatment and treatment monitoring. Roche is a successful company that…
Added 1 hour ago
A
Signals Discipline Lead
AECOM
Pittsburgh, PA
- $160,000 to $200,000 USD / year
Design and analyze wayside signal systems, interlockings, switch machine systems, train detection systems, vital and non-vital logic, and highway-rail grade crossing warning systems in…
Added 2 hours ago
Senior Software Engineer, Identity Graph
Baselayer
San Francisco, CA
…normalized, linked, and kept fresh. That graph powers fraud detection, KYB onboarding, portfolio monitoring, sanctions screening, and a growing surface of customer-facing API products.…
Added 2 hours ago
Cybersecurity Implementation Engineer
Valiant Solutions, LLC
Springfield, VA, VA
Valiant Solutions is seeking a Cybersecurity Implementation Engineer to join our rapidly growing and innovative team!
Added 3 hours ago
TT
Senior Security Engineer
True Talent Solutions Partners
San Francisco, CA
- $190,000 to $250,000 USD / year
- Automate security processes, including detection pipelines and vulnerability management, to reduce manual work.
Added 3 hours ago
Supervisor OT Network Security - Cyber Security & TSOC
FirstEnergy Corp
Akron, OH
…telemetry collection, communications analysis and intrusion detection supported by the IT Tx team for our OT/ICS environments. * Maintain a high level of technical knowledge of the…
Added 3 hours ago
Cyber Security Systems Administrator - Cyber Security & TSOC - Akron FirstEnergy Headquarters
FirstEnergy Corp
Akron, OH
…reports to the Manager of TSOC Technologies. As a Cyber Security Engineer supporting the Transmission Security Operations Center (TSOC), you will serve as a subject matter expert for…
Added 4 hours ago
Software Engineer, Rust
Anduril Industries
Waltham, MA · Broomfield, CO
Ability to engineer robust systems for estimation theory, adaptive filtering, controls, and complex signal environments.
Added 4 hours ago
Software Engineer, Rust
Anduril Industries
Broomfield, CO
Ability to engineer robust systems for estimation theory, adaptive filtering, controls, and complex signal environments.
Added 4 hours ago
Software Engineer, Robotics Tracking and Fusion
Anduril Industries
Washington, DC · Waltham, MA
Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques.
Added 4 hours ago
Software Engineer, Robotics Tracking and Fusion
Anduril Industries
Waltham, MA
Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques.
Added 4 hours ago
Software Engineer- Machine Learning
Anduril Industries
Broomfield, CO · Waltham, MA
We are looking to hire a Software Engineer to join our growing Battlespace Awareness team. In this role, you'll provide software engineering and development support for several of the…
Added 4 hours ago
Senior Software Engineer, Rust
Anduril Industries
Waltham, MA · Broomfield, CO
Ability to engineer robust systems for estimation theory, adaptive filtering, controls, and complex signal environments.
Added 4 hours ago
Senior Software Engineer, Rust
Anduril Industries
Broomfield, CO
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
Washington, DC · Waltham, MA
Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques.
Added 4 hours ago
Senior Software Engineer, Robotics Tracking and Fusion
Anduril Industries
Waltham, MA
Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques.
Added 4 hours ago
Senior Software Engineer- Machine Learning
Anduril Industries
Waltham, MA
We are looking to hire a Senior Software Engineer to join our growing Battlespace Awareness team. In this role, you'll provide software engineering and development support for several of…
Added 4 hours ago
Engineer – Internal Logistics Innovation & Projects
Toyota
Georgetown, KY
…Department is looking for a passionate and highly motivated Engineer for Internal Logistics, Automation, and Model Change…
Added 4 hours ago
Test Automation Engineer
Social Security Administration
Woodlawn, MD
Summary IT Specialist (APPSW) Test Automation Engineer position(s) are being filled through the Office of Personnel Management's delegated Direct Hire Authority, open to all U.S. citizens.…
Added 4 hours ago
Wireless and Edge AI/ML Engineer
BOOZ, ALLEN & HAMILTON, INC.
Annapolis Junction, MD
We're seeking an AI/ML Engineer to join a team building a converged platform that runs real-time wireless signal processing and AI inference on the same GPU-accelerated hardware. You will…
Added 5 hours ago
Sales Compensation Analyst (Commercial Modeling & Governance Automation)
S&P Global
Hightstown, NJ · New York, NY · Virtual, CO · Virtual, CT · Virtual, DC · Virtual, IL · Virtual, NC · Virtual, NJ · Virtual, NY · Virtual, TX · Virtual, VA
Translate and engineer complex commercial deal structures - including multi-year enterprise agreements, joint-production credit splits, co-selling models, and overlay allocations - into…
Added 5 hours ago
Embedded Systems Engineer
Greywright Inc
Boston, MA
Greywright is hiring an Embedded Systems Engineer to help build out and improve on the onboard computing that connects autonomous vessels' sensors, autonomy software, and vehicle systems.…
Added 5 hours ago
Senior GNC Engineer
Greywright Inc
Boston, MA
Greywright is hiring a Senior Guidance, Navigation, and Control (GNC) Engineer to lead the build-out and improvement of the algorithms that keep platforms on course, from design and…

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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