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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.
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.
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.
p>We are seeking a highly motivated CAE Engineer with expertise in non-linear static and dynamic Finite Element Analysis (FEA) to support the design and development of high-volume consumer electronic products. This role will focus on structural, thermomechanical, and heat transfer simulations while collaborating cross-functionally to drive robust, optimized designs from concept through production.
San Francisco, CA30+ days ago
Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Through its interconnected pillars-Lilly Ventures, Lilly Gateway Labs, Lilly ExploR&D, and Lilly TuneLab-Catalyze360 strategically removes barriers that traditionally block bold science from becoming life-changing medicines, providing biotechs with flexible combinations of capital, physical lab space, R&D capabilities, AI/ML tools, and decades of enterprise learning.
San Jose, California30+ days ago
p style="min-height:1.5em">Etched believes in the Bitter Lesson. Experience profiling and analyzing deep learning workloads on hardware accelerators (GPUs, TPUs, ASICs, FPGAs, or others).
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 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.
p>Ways to stand out from the crowd: Hands-on experience developing simulation frameworks or digital twins of quantum systems and deploying them in calibration or control workflows, with awareness of fidelity, latency, and scalability tradeoffs.
Build physics-informed synthetic data generation pipelines that leverage quantum device models, noise channels, and Hamiltonian characterization to produce high-quality datasets.
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 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, California5 days ago
div>Extensive hands-on experience with predictive modeling methods (e.g., logistic regression, multivariate linear regression, decision tree, cluster analysis), with a strong command of a wide range of advanced data mining and machine learning techniques. As a key member of the leadership team, you will be responsible for setting a clear strategic vision for modeling excellence, including integrating next-generation machine learning (ML), AI capabilities, and advanced data sources into our credit, fraud, and marketing ecosystems.
San Francisco, CA19 days ago
p>You will work closely with design, test, validation, manufacturing engineering, and leadership to navigate our products' development — exploring broadly and diving deeply with a drive for rigorous optimization, meticulous documentation, and clear communication of findings. - Define system and component design direction and requirements by developing detailed models of battery energy storage systems across operating modes and external conditions, including battery modules and power electronic components.
p>Job Description: Responsible for developing Digital-Mixed Signal (DMS) models of analog IPs such as touch controller AFEs, wireless power charging, health sensing AFE and satellite AFEs using SystemVerilog language.
Familiar with analog circuits such as LDOs, TIAs, analog muxing, SARADC sample-and-hold (S/H), comparators, DAC voltage converter, buffering and amplification, etc.
Responsibilities Design and develop model architectures for perception, reasoning, and action across multimodal inputs (e.g., vision, language, proprioception) Build models that learn structured representations of the world, including objects, dynamics, and interactions Advance multimodal learning approaches, including fusion, alignment, and cross-modal reasoning Improve model capabilities in areas such as generalization, robustness, and long-horizon reasoning Work across the model lifecycle, from initial research and prototyping to training and deployment Collaborate closely with pretraining, video, generative, RL, and robot learning teams to integrate modeling advances into the full autonomy stack Design experiments and evaluation frameworks to understand model behavior and guide iteration Contribute to the development of new modeling paradigms for embodied AI systems Requirements Experience designing and training deep learning models for vision, language, or multimodal systems Strong understanding of modern model architectures (e.g., transformers and related approaches) Experience improving model performance through architectural innovation and experimentation Proficiency in Python and deep learning frameworks such as PyTorch Strong experimental rigor and ability to iterate on model design and performance Solid software engineering skills and ability to build reliable, maintainable systems Ability to operate independently and drive ambiguous, high-impact technical problems Bonus Qualifications Experience with multimodal models (vision-language or vision-language-action systems) Background in representation learning, world models, or structured prediction Experience working on frontier models at companies such as OpenAI, Google DeepMind, Anthropic, Meta, or xAI Familiarity with embodied AI, robotics, or real-world ML systems Experience with large-scale training or distributed systems * Publication record in machine learning, computer vision, NLP, or multimodal AI The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. This role focuses on developing new modeling approaches across vision, language, and action-spanning representation learning, multimodal fusion, and model capabilities that directly impact robot intelligence.
p>Welcome to Tesla's Optimus Robotics Team, the epicenter of innovation, where we're not just designing humanoid bi-pedal robots like the Tesla Bot; we're creating a revolution in automation for repetitive tasks. Join us in this thrilling journey, where you'll find yourself at the intersection of mechanical, electrical, controls, software, and manufacturing engineering disciplines, working collaboratively to drive the future of robotics.
Sunnyvale, California26 days ago
Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Palo Alto, CA30+ days ago
You will act as a primary technical lead, providing high-level guidance to unblock the team on complex theoretical challenges while managing project timelines and resource allocation across multiple high-priority programs. Provide deep technical guidance to Senior Engineers to resolve roadblocks in numerical methods, code architecture, or complex thermal phenomena (e.g., hysteresis in non-ideal chemistries).
San Francisco, 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.
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.
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.
Modeling Engineer to build thermal, mechanical, and chemical models for the manufacturing processes needed in our effort to land 100GW of solar manufacturing in the United States. Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
- Medical plans > plan options with $0 payroll deduction.
Livermore, CA30+ days ago
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.
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.
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.
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.
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.
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, CA30+ days ago
p>With a remarkable $107 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA's NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. This role comes with high ownership and includes responsibilities such as defining dataset needs and requirements in consultation with our research and product teams; designing and building data pipelines; and driving our post-training model evaluation strategy.
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.
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, CA29 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.
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..
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.
Mountain View, CA16 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.
Expertise in vehicle system modeling and simulation (powertrain, suspension, steering, brakes, chassis controls, etc.) Strong programming skills in Python and C/C++ Experience with Matlab/Simulink, System ID studies, model validation, and data analysis. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
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.
Santa Clara, CA30+ days ago
p>As a member of the Power Modeling, Methodology and Analysis Team, you will collaborate with Architects, ASIC Design Engineers, Low Power Engineers, Performance Engineers, Software Engineers, and Physical Design teams to study and implement energy modeling techniques for NVIDIA's next generation GPUs, CPUs and Tegra SOCs. Our team is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient; and is responsible for building energy models that integrate into architectural simulators, RTL simulation, emulation and silicon platforms.
Sunnyvale, California3 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.