At Qualcomm XR labs Europe, we’re a passionate team of engineers who want to change the world through virtual and augmented reality products and technologies. We develop state-of-the-art computer vision, deep learning, and graphics solutions to deliver ultra-optimized, power-efficient software and hardware to enable the intelligent perception of the world around us. The Qualcomm XR Labs Europe is rapidly expanding and seeking innovators who will create the new digital world. We’re hiring at any of the XR Labs Europe locations in Austria, France, Netherlands and Spain.

Qualcomm is taking its traditional strengths in digital wireless technologies in exciting new fields such as Augmented Reality (AR) and Virtual Reality (VR).

The XR Perception R&D Data Collection team supports the validation and training of perception-based algorithm though the collection of relevant data in different scenarios and with different XR devices. Team members will interact closely with systems engineers and software developers to understand the types of data needs for a particular feature. The team will then organize data collection campaigns and setup the equipment necessary to carry out the collection activities. Team members can also expect to travel to local and in-state locations to cater to the diversity of collection environments needed by the engineering teams.

At Qualcomm XR Research San Diego, we’re a passionate team of engineers who want to change the world through virtual and augmented reality products and technologies. We develop state-of-the-art computer vision, deep learning, and graphics solutions to deliver ultra-optimized, power-efficient software and hardware to enable the intelligent perception of the world around us. The Qualcomm XR Research San Diego is rapidly expanding and seeking innovators who will create the new digital world.

Qualcomm's Multimedia R&D and Standards Group is seeking passionate candidates with expertise in Computer Vision or Computer Graphics. The team is developing advanced AI and deep learning algorithms, architectures, and systems for applications enriching the embedded systems for Smartphone and Extended Reality.

Qualcomm AI Research is looking for world-class researchers in deep learning to join a high-caliber team of engineers inventing machine-learning technology to provide best-in-class solutions while running with the most efficient use of power, memory, and computation.

Remote (US & CAN)

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and MIT. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

If you'd like to build the world's best deep learning cloud, join us.

About the Role: As Lambda's Technical Product Manager you will be responsible for executing against Lambda’s GPU cloud roadmap. Every cloud feature requires close coordination between software development and hardware infrastructure engineering so you will be expected to work across both of these disciplines.

What You’ll Do: - Become an expert on Lambda’s cloud customers and be their voice within Lambda - Uncover and understand customer needs and translate them into requirements - Read between the lines to build a car, not a faster horse - Define success and product acceptance criteria based on customer insights - Work with internal teams to execute and deliver on product roadmap - Facilitate the creation and maintenance of proper product documentation - Ensure requirements are fully understood and that implementation plans match expectations - Make trade-offs during development in collaboration with engineering teams - Coordinate internal and external beta testing to gather product feedback - Collaborate with go-to-market teams like sales, support, and marketing to bring new features and products to market - Keep up with market trends and competitive landscape - Understand, research, and follow technical trends in the industry and in general - Assess emerging technologies, products, and companies to measure their potential value or threat to the company and its products

You: - Proven track record of developing a deep understanding of customers and translating that into: - Feature gaps/improvements - Partnership opportunities - Competitive insights - Ability to dive deep and ask probing questions - Working knowledge of computer science, software development, and/or engineering - Strong communication skills in both technical and business settings - Bachelor’s/Master’s degree in engineering, CS, IT, or related experience - 1 to 2 years of experience in a product development role such as software engineering or other technical positions - Minimum 3 years experience in product management (cloud infrastructure preferred)

Nice to Have : - Experience in the machine learning or computer hardware industry - Business background

For more information about Lambda and this role, including salary and benefits, please this link to apply: https://boards.greenhouse.io/lambda/jobs/5564345003

Remote (US & CAN)

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and MIT. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

If you'd like to build the world's best deep learning cloud, join us.

What You’ll Do

Strategy and Messaging: - Develop, support and implement GTM strategies and campaigns in partnership with marketing and sales - Define and lead market research projects into specific market segments - Leverage user insights and competitive intelligence to craft compelling positioning, messaging, and narratives that differentiate Lambda from other products in the market

Product Launches: - Work with product and marketing teams to articulate customer value and plan effective product delivery and launch - Define and track KPIs to evaluate success of launches - Stay up to date on all product changes, features, and upcoming releases - Support and help plan the launches of net-new products and and releases of existing products, and manage the cross-functional implementation of the plan

Content and Collateral: - Develop a competitive overview and keep the product and marketing teams informed about changes in the competitive landscape - Drive the development and execution of high quality content and enablement materials that brings the ---------- Lambda value proposition, key differentiators, and customer evidence to life - Create a comprehensive sales enablement strategy, including developing key sales collateral (product presentations, scripted demos, battle cards, etc.) to effectively sell and evangelize Lambda product offerings to different user archetypes, companies, sectors and partners

You: - 4+ years of experience as a product marketing manager at a B2B tech company. - Have a technical background working in software engineering, data science, scientific research, or an engineering field - Have a background in ML/AI and are passionate about following the latest developments in the space - Have excellent written and verbal communications - Are a self-starter with the ability to use data and industry insights to make informed marketing decisions - Are collaborative and have a positive attitude, low ego

Nice to Have - Experience in the machine learning, AI or computer hardware and cloud industry - A bachelor’s degree in Computer Science, Mathematics, STEM, or other Engineering - Experience with PLG strategies - Understanding of Marketing tenets and best practices

For more information about Lambda and this role, including salary and benefits, please this link to apply: https://boards.greenhouse.io/lambda/jobs/5562696003

Remote (US & CAN)

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and MIT. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

If you'd like to build the world's best deep learning cloud, join us.

What You’ll Do: - Design, implement, and manage deployment of highly available services - Lead the implementation of a CI/CD pipeline for existing repositories - Contribute to design, implementation, testing, and documentation of orchestration and other services supporting Lambda Cloud - Contribute to major cloud features that enable our customers to easily run large-scale AI research projects - Develop and maintain tools for automation, deployment, monitoring, and operations of our cloud infrastructure - Collaborate with cross-functional teams to design and implement reliable, scalable, and efficient cloud architectures - Develop and maintain the infrastructure as code, including the design and implementation of automated infrastructure deployment and configuration management - Provide guidance and support to development teams in the implementation of DevOps best practices - Participate in building orchestration software within our data centers for launching/terminating VMs, networking, and attaching storage - Ensure correctness of software through high quality automated testing and setting standards for other developers - Stay current with emerging trends and technologies related to DevOps, cloud computing, and infrastructure automation

You: - Value working on a team that emphasizes strong communication, collaboration, and autonomy - Strong engineering background - EECS preferred, Mathematics, Software Engineering, Physics - 5+ years of experience in DevOps or related field - Experience with the implementation of CI/CD pipelines for existing repositories using tools like Github Actions or Buildkite - Strong experience with infrastructure as code (IaC) and related tools such as Ansible, CloudFormation or Terraform - Proficient in one or more programming languages such as Python, Java, or Go - Familiarity with cloud computing platforms such as AWS, GCP, or Azure and experience deploying a web application on a major cloud platform - Experience with containerization technologies such as Docker or Kubernetes

Nice to Have: - Experience working at a start-up - Experience in a leadership role, with the ability to lead and mentor junior team members - Have experience developing major features from conception to production using a Python web application - Experience integrating with storage systems, data center networking, virtualization - Experience in the machine learning or computer hardware industry

For more information about Lambda and this role, including salary and benefits, please this link to apply: https://boards.greenhouse.io/lambda/jobs/5588258003

Remote (US & CAN)

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and MIT. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

If you'd like to build the world's best deep learning cloud, join us.

About the Role: As a Commercial Account Executive at Lambda, you will be responsible for managing a high volume of transactions from organizations including AI Startups, Mid-Market & Small Businesses (SMBs), Universities, and independent ML researchers across multiple industries.

What You’ll Do: - Own full sales cycle processes with a high volume of demand - Promptly respond and serve prospective clients from several inbound sales funnels, including inbound phone calls, inbound website chats and inbound emails - Generate pipeline through personalized emails, outbound calling, and prospecting - Maintain strategic, long-term, trusting relationships with a high volume of clients in order to accomplish organic growth and long-term company objectives

You: - Have a background or strong interest in selling SaaS, cloud computing, GPU hardware, or infrastructure as a service (IaaS) - Possess excellent time management and organizational skills. A Commercial Account Executive responds to and qualifies approximately 20 prospects per day. - Have closed multiple small to medium-sized deals ranging from $10k to $300k - Have the drive and energy to manage multiple accounts while looking for new opportunities - Will engage in both technical and business-level conversations with a variety of stakeholders, including engineering managers, ML researchers, and Ph.D. students - Love to follow a sales process: you build habits of documenting sales calls and meetings, and following up with prospects

For more information about Lambda and this role, including salary and benefits, please this link to apply: https://boards.greenhouse.io/lambda/jobs/5624781003

Remote (US & CAN)

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and MIT. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

If you'd like to build the world's best deep learning cloud, join us.

What You’ll Do: - Join our ML team to build applications powered by language models

You: - Proven experience in improving and adding novel capability into existing ML models - Passionate about engineering and researching the latest techniques in the realm of foundation models and their applications - Proven experience in building products - Have a good intuition for when off-the-shelf solutions will work, and build tools quickly if they won’t

Nice to Have: - Proven experience in building open-source projects or products that have been widely adopted by users - First-author publications or significant contributions to well-known projects in the machine learning field - Proficiency in working with distributed systems - Experienced as a backend or frontend developer - Experienced with tools like Kubernetes, Terraform, Postgres, and Cosmos DB

Upcoming projects: - Build applications powered by language models

About Lambda: - We offer generous cash & equity compensation - Investors include Gradient Ventures, Google’s AI-focused venture fund - We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability - Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG - We have a wildly talented team of 130, and growing fast - Our remote workforce, based on role, is across the U.S., with headquarters in San Jose, CA - Health, dental, and vision coverage for you and your dependents - Commuter/Work from home stipends - 401k Plan - Flexible Paid Time Off Plan that we all actually use

Salary Range Information: Based on market data and other factors, the salary range for this position is $180,000-$230,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer: Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Cambridge, MA

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Human-Centered AI, Human Interactive Driving, Energy and Materials, Machine Learning, and Robotics!

Our HASTEN (Helping Aging Society: Tactile Embodied Nudging) collaborative team brings together complementary research and engineering expertise in physical human-robot interaction, bubblized soft robotics, humanoid systems, software development, user-centered design, and occupational and physical therapy experts. Our team develops robotic technology, sensing, and algorithms for supporting older adults in their homes with activities of daily living that require large amounts of surface contact between people and robots in order for robots to provide supportive assistance, in the context of stability and mobility such as getting up from a chair and dressing.

In these close proximity and directly hands-on physical contact human-robot interactions, safety is paramount! Therefore, the focus of this role will be to develop pHRI algorithms that are robust and provably biomechanically sound such that our end-users feel secure and comfortable when being supported and assisted by our robots. This role is on the RUXID (Robotics UX & Interaction Design) team, which comprises UX researchers and designers, as well as HRI researchers. The RUXID team collaborates closely with TRI's robotics engineering teams.

For more information and to apply, please visit here or click "Apply" below.

Los Altos, CA

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Human-Centered AI, Human Interactive Driving, Energy and Materials, Machine Learning, and Robotics.

TRI is assembling a world-class team to develop and integrate innovative solutions that enable a robot to perform complex, human-level mobile manipulation tasks, navigate with and among people, and learn and adapt over time. The team will develop, deploy, and validate systems in real-world environments, in and around homes.

The team will be focused on heavily leveraging machine learning to marry perception, prediction, and action to produce robust, reactive, coordinated robot behaviors, bootstrapping from simulation, leveraging large amounts of data, and adapting in real world scenarios.

TRI has the runway, roadmap, and expertise to transition the technology development to a product that impacts the lives of millions of people. Apply to join a fast moving team that demands high-risk innovation and learning from failures, using rigorous processes to identify key technologies, develop a robust, high quality system, and quantitatively evaluate performance. As part of the team, you will be surrounded and supported by the significant core ML, cloud, software, and hardware expertise at TRI, and be a part of TRI's positive and diverse culture.

For more information and to apply, please visit here or click "Apply" below.

Cambridge, MA

Through innovations in AI at Toyota Research Institute (TRI), we:

** - Develop vehicles incapable of causing a crash, regardless of the actions of the driver.

• Develop technology for vehicles and robots to help people enjoy new levels of independence, access, and mobility.

• Bring advanced mobility technology to market faster.

• Discover new materials that will make drive batteries and hydrogen fuel cells smaller, lighter, less expensive, and more powerful. **

Our work is guided by a dedication to safety – in how we research, develop, and validate the performance of technology to benefit society. As a subsidiary of Toyota, TRI is fueled by a diverse and inclusive community of people who carry invaluable leadership, experience, and ideas from industry-leading companies. Over half of our technical team carries PhD degrees. We’re continually searching for the world’s best talent ‒ people who are ready to define the new world of mobility with us!

We strive to build a company that helps our people thrive, achieve work-life balance, and bring their best selves to work. At TRI, you will have the opportunity to enjoy the best of both worlds ‒ a fun start-up environment with resourceful people who enjoy solving global problems and the financial backing to successfully achieve our goals. If you’re passionate about working with inquisitive people to make cars safer, enable the older population to age in place, or design alternative fuel sources, TRI is the place for you. ‒ Start your impossible with us.

Our Human-Aware Interaction and Learning team is looking for Research Scientists with experience in robotic perception and computer vision, as part of a bigger team that explores human-robot interaction on the road. We are aiming to make progress on a key challenge to unlock the full potential of artificial intelligence in a human world: how do we make machines more safely and effectively interact with humans to augment their capabilities?

As a Research Scientist, you will work with a multidisciplinary team proposing, conducting, and transferring innovative research in various aspects of robotic perception toward human-centric applications in driving, including high-performance driving. You will build prototypes that test your ideas in the real world and publish them at top academic venues. You will help to transfer and ship our most successful algorithms and models toward real-world advanced assistance systems, touching millions of lives.

For more information and to apply, please visit here or click "Apply" below.

Los Altos, CA; Cambridge, MA

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Human-Centered AI, Human Interactive Driving, Energy and Materials, Machine Learning, and Robotics.

The Team Our mission is to advance the state-of-the-art in Robotic Manipulation by allowing Dexterous Behaviors to be efficiently taught, learned, and improved over time in challenging environments. We operate at the intersection of state-of-the-art simulation, perception, controls, and machine learning in the context of robotic manipulation, and we measure our success in terms of capabilities that we can transfer towards productization, as well as research impact via publications, seminars, and contributions to open-source software. If you are passionate about our mission, and think your background makes you well suited to help us push forward towards a future of general and adaptable robots manipulating their surroundings, then come talk to us and help us see how your expertise will help make that future a reality.

The Opportunity We’re looking for an independent and driven Robotics Research Scientist with experience in Machine Learning and Reinforcement Learning to help scale our Dexterous Manipulation research efforts.

1. Research behavior learning using a variety of techniques such as Reinforcement Learning and Learning from Demonstration.
2. Conduct experiments on existing datasets and simulations as well as on physical robots.
3. Operate as part of a small, close-knit, and fast-paced research team to produce publications and research prototypes.
4. Collaborate on research with our university research partner labs.

For more information and to apply, please visit here or click "Apply" below.

Cambridge, MA

Through innovations in AI at Toyota Research Institute (TRI), we:

- Develop vehicles incapable of causing a crash, regardless of the actions of the driver. - Develop technology for vehicles and robots to help people enjoy new levels of independence, access, and mobility. - Bring advanced mobility technology to market faster. - Discover new materials that will make drive batteries and hydrogen fuel cells smaller, lighter, less expensive, and more powerful.

Our work is guided by a dedication to safety – in how we research, develop, and validate the performance of technology to benefit society. As a subsidiary of Toyota, TRI is fueled by a diverse and inclusive community of people who carry invaluable leadership, experience, and ideas from industry-leading companies.

Over half of our technical team carries PhD degrees. We’re continually searching for the world’s best talent ‒ people who are ready to define the new world of mobility with us! We strive to build a company that helps our people thrive, achieve work-life balance, and bring their best selves to work. At TRI, you will have the opportunity to enjoy the best of both worlds ‒ a fun start up environment with resourceful people who enjoy solving global problems and the financial backing to successfully achieve our goals. If you’re passionate about working with inquisitive people to make cars safer, enable the older population to age in place, or design alternative fuel sources, TRI is the place for you. ‒ Start your impossible with us.

Our Human-Aware Interaction and Learning team is looking for Research Scientists with experience in a variety of areas including Reinforcement Learning, Human Behavioral Modeling, Shared Control, Computer Vision and Human-Machine Interaction. We are aiming to make progress on a key challenge to unlock the full potential of artificial intelligence in a human world: how do we make machines more safely and effectively interact with humans to augment their capabilities?

As a Research Scientist, you will work with a multidisciplinary team proposing, conducting, and transferring innovative research in Machine Learning for human-centric applications. You will use large amounts of real-world and simulated sensory data to solve open problems, publish at top academic venues, and test your ideas in the real world (including our robots, innovative motion simulators and test vehicles of course!). You will help to transfer and ship our most successful algorithms and models towards real-world advanced assistance systems, touching millions of lives.

For more information and to apply, please visit here or click "Apply" below.