Jobs in the United States

25+ jobs

Save this search

Added 14 mins ago
Software Engineer III - Full-stack Developer with Anthropic Experience
Deloitte
Morristown, NJ
As a Senior Consultant, Software Engineer III, AI & Engineering on the Engineering as a Service team, you will be responsible for designing, building, and delivering full-stack software and…
Added 2 hours ago
TT
Senior Full-Stack Software Engineer
True Talent Solutions Partners
Redwood City, CA
- $215,000 to $290,000 USD / year
Join a team building AI-powered voice automation software. In this senior full-stack role, you will develop the backend systems and user-facing tools that support reliable conversations and…
Added 2 hours ago
Technology Consulting - TMT - Forward Deployed Engineer - Senior
EY
Atlanta, GA · Houston, TX · Dallas, TX · San Francisco, CA · San Jose, CA · Miami, FL · Chicago, IL · San Antonio, TX
Full-stack and infrastructure skills. Strong hands-on Python or Java, exposure to Azure, AWS, and/or GCP, and CI/CD using GitHub or Azure DevOps.
Added 2 hours ago
Technology Consulting - TMT - Forward Deployed Engineer - Sr Manager
EY
Chicago, IL · Houston, TX · Miami, FL · New York, NY · San Antonio, TX · San Francisco, CA · Dallas, TX
Full-stack and infrastructure skills. Advanced hands-on Python or Java, cloud-native services on Azure, AWS, and/or GCP, Kubernetes, Docker, and CI/CD.
Added 3 hours ago
Senior Full-Stack Engineer
Manta Cares
San Francisco, CA
…the center of how patients use Manta. We're hiring a Senior Full-Stack Engineer to make them smarter, faster, and more…
Added 3 hours ago
C
Software Engineer
Clera
San Francisco, CA
- $150,000 to $300,000 USD / year
- Two to five years of experience as a full-stack or backend software engineer, with a primarily software engineering rather than ML-focused background.
Added 6 hours ago
Software Engineer (Hybrid)
Cisco Systems, Inc.
San Jose, CA · RTP, NC
Experience designing, developing, and deploying full stack solutions, RESTful APIs, microservices, distributed applications, and leading projects from implementation to delivery.
Added 7 hours ago
Senior Software Engineer, Biggy Engineering
BigPanda
Remote, United States
Today, the Biggy engineering team operates across full-stack systems, APIs, workflow orchestration, secure ingestion, vector database indexing, automation frameworks, agent workflows, and…
Added 8 hours ago
Senior AI Engineer
Octus
NEW YORK, NY
Added 8 hours ago
Software Engineer
Octus
NEW YORK, NY
Added 14 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 15 hours ago
EU
AWS Application Engineer
Experis USA
Columbus, OH
- $75 USD / hour
Our client is seeking a highly skilled Full Stack AWS Engineer to join the AWS Application Framework team and support the development of a new commercial lines quoting platform. This role…
Added 15 hours ago
AE
Sr Software Engineer II - Enterprise Architecture
American Express
Phoenix, AZ
- $123,000 to $215,250 USD / year
Design, develop, and deliver scalable, high-quality software solutions across the full stack, leveraging Java and Python for enterprise-grade platforms and services
Added 17 hours ago
ConvergeCONSUMER - Technical Software Engineering Lead (Manager) - Products & Platforms
Deloitte
Boston, MA
Debug and resolve complex technical issues across the full stack.
Added 17 hours 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 17 hours ago
Software Engineer III - Full-stack Developer with Anthropic Experience
Deloitte
Boston, MA
As a Senior Consultant, Software Engineer III, AI & Engineering on the Engineering as a Service team, you will be responsible for designing, building, and delivering full-stack software and…
Added 17 hours ago
TT
Senior Full Stack Engineer
True Talent Solutions Partners
Boston, MA
- $185,000 to $210,000 USD / year
- Six to ten years of full stack engineering experience, including shipping consumer or user-facing products from zero to one at an early-stage or high-growth startup.
Added 20 hours ago
Principal Full Stack Software Engineer (P60) - Growth
Atlassian
Remote, United States
As a Principal Full Stack Software Engineer (P60) on Starburst, you will serve as the lead technical anchor for multi-quarter onboarding and cross-flow initiatives across Atlassian's…
Added 21 hours ago
TT
Software Engineer
True Talent Solutions Partners
New York, NY
- $180,000 to $230,000 USD / year
Join a fintech engineering team building payment infrastructure for nonprofit organizations. As a backend or full-stack engineer, you will own systems from design through production and…
Added 21 hours ago
Full-Stack Software Engineer
Trinzic
Beavercreek Township, OH
…from multiple sources into timely operational insight. This engineer will contribute across modern web applications, backend services, analytical workflows, and AI-enabled capabilities…
Added 22 hours ago
TT
Founding Full-Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $240,000 USD / year
- Strong full-stack skills with technologies such as TypeScript, Python, React, React Native, Node.js, AWS, GCP, Supabase, PostgreSQL, Redis, Docker, and REST APIs.
Added 1 day ago
Engineering Director
Bridgenext
UNAVAILABLE
At Bridgenext, we engineer Growth Operating Systems. Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that…
Added 1 day ago
Senior Software Engineer
Toyota
Plano, TX
We’re looking for a well-rounded Software Development Engineer II to help lead the transformation of our TFS core systems into agile, cloud-native, and service-oriented platforms. This is a…
Added 1 day ago
Software Engineer, Senior
Toyota
Plano, TX
We’re looking for a well-rounded Software Development Engineer II to help lead the transformation of our TFS core systems into agile, cloud-native, and service-oriented platforms. This is a…
Added 1 day ago
C
Mid-Level AI Engineer
Clera
San Francisco, CA
- $150,000 to $180,000 USD / year
- Full-stack proficiency with Python and TypeScript/React or equivalent, along with cloud experience such as AWS or GCP and relational or NoSQL databases.

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