Qureos Mentor

Toyota Research Institute

<div><div><p>At Toyota Research Institute (TRI), we&rsquo;re on a mission to improve the quality of human life. We&rsquo;re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we&rsquo;ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.</p><div></div><div><p><b><br>
The Team</b></p>
<p>
TRI's Information Technology team enables a world-class research organization to move fast without friction. We support 300+ researchers and engineers across multiple locations, managing everything from endpoint deployments and identity systems to collaboration platforms and conference room AV, all in service of keeping scientists and engineers focused on their work, not their tools.</p>
<p><b>
The Opportunity</b></p>
<p>
We are looking for an IT Systems Specialist to provide hands-on technical support at our Cambridge, MA location. This is a frontline role: you will be the face of IT for researchers, engineers, and staff, resolving issues, deploying hardware, managing user lifecycles, and ensuring our Cambridge office runs smoothly. You'll support a highly technical workforce that relies on specialized hardware (GPU workstations, multi-monitor setups) and a modern SaaS stack.</p>
<p>
The ideal candidate thrives in a fast-paced environment, communicates clearly with both technical and non-technical users, and takes ownership of problems through resolution. You balance reactive support with proactive improvements: maintaining documentation, streamlining processes, and identifying recurring issues before they become patterns.</p>
</div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><div><div><div>
<ul>
<li><p>Provide frontline IT support to researchers and engineers across Cambridge, HQ, and remote locations via in-person, video call, chat, and email, delivering timely resolutions that meet service level agreements.</p>
</li>
<li><p>Manage the full user lifecycle: onboarding, account provisioning, access management, hardware deployment, and offboarding across identity and collaboration platforms.</p>
</li>
<li><p>Deploy, configure, and maintain endpoints across macOS, Windows, and Linux, including specialized research workstations with GPU and high-performance components.</p>
</li>
<li><p>Administer and troubleshoot identity and access management systems, endpoint management platforms, and collaboration tools.</p>
</li>
<li><p>Maintain conference room AV systems and provide event support utilizing video conferencing and presentation hardware.</p>
</li>
<li><p>Manage IT asset inventory including procurement, deployment tracking, RMA processing, and lifecycle retirement.</p>
</li>
<li><p>Support networking needs including basic troubleshooting of connectivity, VLANs, wireless, and VPN issues, escalating complex issues appropriately.</p>
</li>
<li><p>Work within the ticketing system to document resolutions, provide meaningful status updates, and ensure proper escalation when needed.</p>
</li>
<li><p>Maintain and restock IT supply cabinets, prepare workstations for new hires, and manage hardware logistics.</p>
</li>
<li><p>Document processes, create knowledge base articles, and cross-train team members on procedures and workflows.</p>
</li>
<li><p>Coordinate with external vendors for hardware procurement, warranty service, and facility-related IT needs.</p>
</li>
<li><p>Balance daily support tickets with project work, managing priorities in a dynamic environment.</p>
</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications</b></h3><div><div><div>
<ul>
<li><p>3+ years of experience in an IT support or systems administration role, preferably in a technology or research environment.</p>
</li>
<li><p>Bachelor's degree in Information Technology, Computer Science, or related field preferred; equivalent experience considered.</p>
</li>
<li><p>Strong hands-on experience with endpoint management platforms, identity and access management solutions, and enterprise collaboration suites.</p>
</li>
<li><p>Proficiency deploying and troubleshooting macOS, Windows, and Linux systems, including hardware components (GPUs, SSDs, memory modules, NICs).</p>
</li>
<li><p>Working knowledge of networking fundamentals: IP addressing, subnets, VLANs, DNS, DHCP, and wireless networking.</p>
</li>
<li><p>Experience with user lifecycle management across SSO, directory services, and SaaS application provisioning.</p>
</li>
<li><p>Familiarity with remote access technologies including VPN, RDP, and SSH.</p>
</li>
<li><p>Excellent communication skills with the ability to translate technical concepts for non-technical users.</p>
</li>
<li><p>Demonstrated ability to work independently, prioritize competing requests, and manage time effectively in a fast-paced environment.</p>
</li>
<li><p>Ability to lift up to 50 pounds of computer equipment.</p>
</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Bonus Qualifications</b></h3><div><div><div>
<ul>
<li><p>Audio/visual systems experience including conference room setup, troubleshooting, and event support for platforms such as Google Meet, Zoom, and Microsoft Teams.</p>
</li>
<li><p>Experience with Google Workspace administration and Cisco Meraki networking.</p>
</li>
<li><p>Familiarity with Jamf, Okta, or Active Directory/Entra ID.</p>
</li>
<li><p>Experience managing software licensing and SaaS subscriptions.</p>
</li>
<li><p>Exposure to cloud platforms (AWS), version control systems (GitHub), or virtual machine environments.</p>
</li>
<li><p>Experience supporting researchers or engineers working with specialized compute hardware.</p>
</li>
</ul></div></div></div></div></div><div><div><i>The pay range for this position at commencement of employment is expected to be between $90,000 and $136,400/year for Massachusetts-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.</i></div><div></div><div><br>
Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.</div>
<div></div>
<div>TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant&rsquo;s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.</div>
<div></div>
<div>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.</div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

IT Systems Specialist

<div><div><p>At Toyota Research Institute (TRI), we&rsquo;re on a mission to improve the quality of human life. We&rsquo;re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we&rsquo;ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.</p><div></div><div><p><br>
The Learning From Videos (LFV) team develops world foundation models that leverage large-scale multi-modal data (RGB, depth, flow, semantics, actions, tactile, audio, etc.) from multiple domains to power downstream embodied AI tasks. Our topics of interest include Video Generation, World Models, 4D Reconstruction, Multi-Modal Models, Multi-View Geometry, Data Augmentation, and Video-Language-Action models, with a primary focus on embodied applications such as robotics and driving. We are making progress on some of the hardest scientific challenges around spatio-temporal reasoning, and how it can lead to the deployment of autonomous agents in real-world unstructured environments.</p><br>
<p></p>
<p>
Our team is looking for a Research Engineer to help develop and deploy our world foundation models (WFMs) toward their key milestones in the autonomous driving domain. As our WFMs scale in both capability and ambition, we need a strong engineer who can bridge the gap between research ideas and production-grade systems. This is not a traditional software engineering role; you will work directly alongside research scientists, understand the research deeply enough to make independent technical decisions, and play a key role in enabling the deployment of key research breakthroughs into close-to-production environments.</p><br>
<p></p>
<p>
As a Research Engineer, you will be responsible for supporting and optimizing large-scale distributed training of diffusion and transformer models; maintaining the infrastructure that ingests, unifies, and serves heterogeneous multi-modal datasets at scale; and developing tools and pipelines that accelerate the research-to-results cycle. You will work closely with researchers to prototype new ideas, run experiments, and help ship our most successful models toward real-world applications with real-world impact.</p><p><br>
This role requires close collaboration with multiple TRI divisions (Robotics, Automated Driving, Human-Interactive Driving, etc.) as well external Toyota and University partners, and the ability to reconcile and prioritize possibly competing requirements in a fast-paced combination of research and production environments.</p>
</div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><div><div><div>
<ul>
<li><p>Collaborate directly with research scientists to implement, iterate on, and evaluate new architectures, objectives, datasets, and training strategies. Translate research prototypes into clean, maintainable, reusable code that will be shared across multiple TRI teams and the broader Toyota ecosystem.</p>
</li>
<li><p>Build and maintain scalable pipelines for ingesting, converting, validating, and serving heterogeneous datasets (multi-view, multi-modal, multi-embodiment, etc.), across robotics and autonomous driving, into unified training-ready formats. Track and integrate new public and internal datasets as they become available.</p>
</li>
<li><p>Support and optimize large-scale distributed training of world foundation models on multi-GPU and multi-node clusters. Manage experiment workflows, profiling, debugging, and hyperparameter sweeps to ensure optimal performance in a timely manner.</p>
</li>
<li><p>Develop tools for dataset inspection, experiment tracking, model evaluation, GPU resource management, and visualization. Automate repetitive workflows to improve team velocity.</p>
</li>
<li><p>Work with other TRI teams and Toyota affiliates to set up shared pipelines, onboard their data, and support joint training and evaluation efforts.</p>
</li>
<li><p>Produce maintainable, well-documented code. Contribute to internal tooling and open-source releases to the scientific community.</p>
</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications</b></h3><div><div><div>
<ul>
<li><p>Master&rsquo;s or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field, with a minimum of 2 years of relevant experience and strong software engineering skills.</p>
</li>
<li><p>Deep proficiency in Python, PyTorch, and the Unix/Linux toolchain. Comfort working in terminal-heavy, SSH-based workflows on shared GPU clusters.</p>
</li>
<li><p>Hands-on experience with large-scale deep learning training, including distributed training (DDP, FSDP, DeepSpeed, or similar), GPU profiling, and debugging training failures at scale.</p>
</li>
<li><p>Experience building data pipelines for heterogeneous or multi-modal datasets (images, video, depth, point clouds, actions, etc).</p>
</li>
<li><p>Experience with video diffusion models, 3D/4D reconstruction, and multi-view geometry.</p>
</li>
<li><p>You are proactive, self-directed, and comfortable operating with ambiguity in a research-driven environment that spans multiple divisions.</p>
</li>
<li><p>You are a reliable teammate who communicates clearly and takes ownership of problems end-to-end.</p>
</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Bonus Qualifications</b></h3><div><div><div>
<ul><li>Experience with cloud training infrastructure (AWS SageMaker, EC2) and containerized workflows (Docker, Kubernetes).</li>
<li>
<p>Familiarity with standard data formats and collection pipelines (ROS, MCAP, HDF5, etc.) as well as simulation environments.</p>
</li>
<li><p>Proficiency with modern AI-assisted development tools (e.g., Copilot, Cursor, Claude Code) for accelerating engineering workflows.</p>
</li>
<li><p>Track record of contributions to open-source projects or publications at top venues (CVPR, ICLR, NeurIPS, RSS, ICRA, etc.) is a plus but not required.</p>
</li>
</ul></div></div></div></div></div><div><div><div><b>Please include links to any relevant open-source contributions or technical project write-ups with your application.</b></div>
<div></div>
<div><i>The pay range for this position at commencement of employment is expected to be between $180,000 and $258,750/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.</i></div></div><div><br>
</div><div>
Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.</div>
<div></div>
<div>TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant&rsquo;s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.</div>
<div></div>
<div>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.</div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Senior Research Engineer, Computer Vision (LFV/WFM)

<div><div><div><p>Founded in 2017, Toyota Ventures is a San Francisco Bay Area-based venture capital firm with $800M+ AUM that invests in early-stage startups around the world in deep tech and climate solutions. We are on a mission to discover what&rsquo;s next for Toyota by helping startups bring groundbreaking technologies and business models to market quickly. We&rsquo;ve invested in over 100 companies to date, including AM Batteries, Apex Space, Axiom Math, Bipi (acquired), Blackmore (acquired), Efficient Computer, e-Zinc, Intuition Robotics, Joby Aviation (NYSE: Joby), Natura Resources, Pickle Robot, and Stoke Space.</p>
<p>
Our firm is growing and we are looking for an analyst for the Toyota Ventures Frontier Fund(s) to help source and screen innovative companies in areas like AI, advanced materials, automation and robotics, and space tech. Along with a degree in a relevant field, we are seeking someone with a strong understanding of deep tech. The role also requires excellent written and verbal communication skills, an understanding of industry trends, and a knack for spotting the early stage startups that are defining those trends.</p>
<p>
Our team values diversity, acting with integrity, being humble but bold, and &ldquo;keeping it weird.&rdquo; If this sounds like a good fit, and you&rsquo;re passionate about finding and funding innovative companies, we look forward to hearing from you!</p>
<p>
This role is based in the San Francisco Bay Area (we have offices in both San Francisco and Los Altos, CA), but remote work within other U.S. cities is possible.</p>
</div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><div><div><div>
<ul>
<li><p>Network and take part in industry and VC events, organizations</p>
</li>
<li><p>Help generate deal-flow and source high-potential target companies</p>
</li>
<li><p>Meet with and evaluate companies to make recommendations on investing</p>
</li>
<li><p>Perform research for due diligence, competitive analyses, and industry deep dives</p>
</li>
<li><p>Draft investment memos for the Investment Committee</p>
</li>
<li><p>Analyze latest industry trends and assist with market research briefings</p>
</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications</b></h3><div><div><div>
<ul>
<li><p>1+ year of work experience in related role preferred</p>
</li>
<li><p>Bachelor's degree in computer science, engineering or relevant field</p>
</li>
<li><p>High level of integrity and professionalism, with ability to maintain strict confidentiality</p>
</li>
<li><p>Excellent communication and interpersonal skills</p>
</li>
<li><p>Proficiency in Excel and Google Suite, and the ability to quickly learn and master new software applications</p>
</li>
<li><p>Comfortable with ambiguity and risk</p>
</li>
<li><p>Ability to work collaboratively with team members</p>
</li>
<li><p>Passion for learning about new technologies and understanding their business potential</p>
</li>
</ul></div></div></div></div></div><div><div><i>The pay range for this position at the commencement of employment is expected to be between $89,000 and $120,000/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.</i></div>
<div></div>
<div><div>Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.</div>
<div></div>
<div>TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant&rsquo;s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.</div>
<div></div>
<div>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.</div>
</div></div><div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Analyst

Join Toyota Research Institute and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Toyota Research Institute

About Company

IT Systems Specialist

Senior Research Engineer, Computer Vision (LFV/WFM)

Analyst