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Why Join Nimble?
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About Nimble
Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce.
San Francisco, California30+ days ago
For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In this role, you will partner closely with Senior Performance Modeling Engineers and the Performance Modeling Lead to analyze system behavior, run simulations and analytical models, and help evaluate tradeoffs across compute, memory, networking, and storage.
San Francisco, California30+ days ago
For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In this role, you will work closely with the Performance Modeling Lead and partner teams to analyze system behavior, run simulations or analytical models, and help quantify tradeoffs across compute, memory, networking, and storage.
Cupertino, CA30+ days ago
What youll do: - Build and own models of SoC subsystems - translating architecture specs and RTL behavior into accurate, testable C++ models - Work directly with RTL design and verification teams to validate model behavior against RTL, debug discrepancies, and support pre-silicon verification flows - Develop model-based test infrastructure: regression suites, RTL correlation checks, and coverage-driven testing - Contribute to performance modeling efforts - building cycle-approximate models that help architects evaluate design trade-offs before RTL exists - Improve modeling methodology and infrastructure: how models are structured, integrated, tested, and released to DV and architecture teams - Collaborate with chip architects to understand upcoming designs and plan modeling work ahead of RTL availability Why this role is interesting: - Your models are used to verify silicon before its built - bugs you catch save months of schedule and millions of dollars - Youll work at the intersection of software engineering and chip design, with deep visibility into how custom ML accelerators are architected - As the team scales, theres a clear path into architectural modeling - using your models to influence chip design decisions, not just validate them - Small team, high ownership, direct impact on AWSs most strategic silicon programs You will thrive in this role if you: - Have built functional or performance models of SoCs, ASICs, GPUs, CPUs, or IP blocks - Are comfortable working with architectural / design specifications or reference implementations and translating them into C++ or SystemC models - Understand verification concepts and have worked with DV teams or in pre-silicon validation environments - Care about model fidelity and have experience correlating models against RTL or silicon - Are interested in expanding into architectural performance modeling as the team grows - Enjoy working on a small, high-impact team where you own significant pieces of the stack No ML background needed. Our team builds C++ models of these custom SoCs that RTL designers, verification engineers, and software teams depend on throughout the silicon development lifecycle.
Cupertino, CA30+ days ago
Our team builds C++ models of these custom SoCs that RTL designers, verification engineers, and software teams depend on throughout the silicon development lifecycle. Contribute to performance modeling efforts - building cycle-approximate models that help architects evaluate design trade-offs before RTL exists.
They build and maintain statistical capacity models that map traffic inputs (e.g., checkout volume, app opens, batch/job activity) to resource outputs (CPU, memory, connections) and then convert those forecasts into recommended capacity settings such as pod counts, HPA ranges, and/or infrastructure sizing changes across regions and environments. You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
San Francisco, CA30+ days ago
You will work across the full robotics and autonomy stack - building robust, production-grade software that scales as we deploy more robots into high-throughput operations - while serving as the team''s deep expert in system identification, dynamics modeling, and model-based control. Design and execute system identification experiments for actuators, mechanisms, and full robot subsystems - motors, arms, elevators, drivetrains - fitting dynamic models via regression and curve-fitting to derive accurate feedforward and feedback controllers.
Mountain View, CA30+ days ago
We"re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a part of the Ember team, you will help reimagine Google Images, a platform serving over a billion daily interactions, to build a queryless, hyper-personalized feed that fuels creativity worldwide.
San Francisco, CA30+ days ago
You'll lead research initiatives that generate alpha and improve execution quality, mentor junior researchers, and collaborate closely with our Trading desk to translate quantitative insights into profitable systematic strategies while maintaining rigorous risk management. As we expand our presence on betting exchanges, we're building infrastructure and strategies akin to those found in traditional financial markets.
Mountain View, CA30+ days ago
We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Santa Clara, CA30+ days ago
strong>Essential Functions- Lead model monitoring activities, including tracking performance metrics, detecting model and data drift, identifying data quality issues, providing root cause analysis, and recommending remediation strategies. This includes providing effective challenges to model development, conduct model monitoring and performance tracking, provide root cause analysis of model performance, exploring, building, validating, and deploying models..
San Francisco, CA30+ days ago
For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition to delivering production-grade silicon for OpenAI's supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.
Sunnyvale, CA30+ days ago
From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA; New York, NY, USA; Seattle, WA, USA.Minimum qualifications: - Bachelor's degree or equivalent practical experience.
Palo Alto, California30+ days ago
p style="min-height:1.5em">We’re looking for a Research & Modeling Engineer to build and train the core models that power our systems, and ensure they perform reliably on real robots in production environments.
San Francisco, California30+ days ago
You'll lead research initiatives that generate alpha and improve execution quality, mentor junior researchers, and collaborate closely with our Trading desk to translate quantitative insights into profitable systematic strategies while maintaining rigorous risk management. As we expand our presence on betting exchanges, we're building infrastructure and strategies akin to those found in traditional financial markets.
San Francisco, California30+ days ago
li>Exposure to the simulation environments used by the GPU/XPU supplier, hyperscalers and/or frontier labs for simulation AI workloads on various system and hardware architectures.
This role is focused on the modeling and simulation of high-performing AI hardware, and does not require prior knowledge of quantum computers.
You''ll own the schemas, pipelines, and shared software that let our modeling stack grow with the product - making simulations faster to run, results easier to trust, and insights transparent to engineering teams and executive stakeholders alike. Backed by industry giants like NVIDIA, AMD, Mediatek and Intel and manufactured in partnership with the world''s leading semiconductor ecosystem, Ayar Labs'' co-packaged optics solution is key to unleashing next-generation AI scale-up architectures.
Palo Alto, CA30+ days ago
This position is expected to start around August or September 2026 and continue through the Fall term ending approximately December 2026 or continuing into Winter/Spring 2027 if available and there is an opportunity to do so. Our year-round program places the best students in positions where they will grow technically, professionally, and personally through their experience working closely with their Manager, Mentor, and team.
Sunnyvale, CA30+ days ago
From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. We"re the driving force behind Google"s groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.
li>Data Integration & Management: Develop, monitor, and troubleshoot data integration pipelines (e.g., Anaplan Connect, CloudWorks, or Pigment integrations) from ERPs/CRMs like NetSuite, Salesforce, or SAP. - Model Building & Design: Configure and maintain Anaplan lists, modules, complex calculations, dashboards, and user experience (UX) pages, applying best practices (e.g., DISCO methodology) to ensure scalability.
Mountain View, CA30+ days ago
Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and business around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores. As a Product Manager in the Ad Relevance and User Quality team, you will play a key role in building the ML models that are responsible for showing useful ads to users across Google Search and AI Mode.
Mountain View, CA18 days ago
You'll characterize target ML workloads, build the analytical and roofline models that project performance onto proposed hardware, and turn that analysis into the PPA trade-off guidance the architecture, RTL, and compiler teams design against —well before first silicon.
California pay range
$180,000—$250,000 USD
Sunnyvale, CA30+ days ago
The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Opportunity:
Sonatus is seeking a highly motivated Staff AI Engineer with expertise in data analytics and modeling to build AI-based software for next-generation AI-driven software-defined vehicles.
San Francisco, CA30+ days ago
p>Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn't passive - it's a powerful tool for living better. We're looking for a Machine Learning Engineer to build and ship consumer-facing AI systems that power personalization, coaching, and next-generation "sleep intelligence."
San Francisco, California30+ days ago
ul style="min-height:1.5em">Develop steady-state and dynamic process models to establish heat and material balances for integrated mineral refinery systems using ASPEN, SysCAD, OLI, or METSIM.
Automate equipment and process sizing (reactors, heat exchangers, filters, crystallizers, evaporators, and separators) based on model outputs, linking models to datasheets and other engineering tools.
Santa Clara, CA30+ days ago
Experience with developing analytical performance models, architecture simulators for performance analysis, Research background with publication record in top-tier architecture, or machine learning venues is a huge plus (such as ISCA, MICRO, ASPLOS, HPCA, DAC, MLSys etc.). d-Matrix is seeking outstanding computer architects to help accelerate AI application performance at the intersection of both hardware and software, with particular focus on emerging hardware technologies (such as DIMC, D2D, 3D-DRAM etc.) and emerging workloads (such as generative inference etc.).
Mountain View, CA30+ days ago
We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Sunnyvale, California5 days ago
div class="posting-requirements plain-list">Currently pursuing a degree in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, High-Performance Computing, or a related quantitative discipline.
Preferred Qualifications. This internship provides hands-on experience in low-level GPU performance analysis, kernel optimization, and hardware-aware inference acceleration.