Samsung Research America Logo

Samsung Research America

Senior Manager, Robot Intelligence Data Efficiency

Reposted 3 Hours Ago
Be an Early Applicant
In-Office
Mountain View, CA, USA
204K-306K Annually
Senior level
In-Office
Mountain View, CA, USA
204K-306K Annually
Senior level
Lead a Data Efficiency group to research and deliver data-efficient robot learning methods. Manage R&D, engineer data and model pipelines, build prototypes and pilots on robot platforms, oversee team operations (hiring, milestones, contracts), and publish patents and papers. Collaborate across Samsung labs and external partners to advance simulation, teleoperation, egocentric-video learning, and model deployment for production robot learning.
The summary above was generated by AI

Lab Summary:

The Robot Intelligence Lab at Samsung Research America is a new facility dedicated to advancing the field of robotics through cutting-edge research and development. The lab’s mission is to develop advanced technologies to power intelligent robotic systems capable of manipulation, navigation, and complex reasoning for a variety of high-impact application areas. To achieve this mission, the lab collaborates closely with external entities such as universities, startups, and government labs, as well as with several Samsung Product and Advanced Research labs.  

Position Summary:

Samsung Research America is looking for a Senior Manager who has an established track record in research and project management in robotics to lead a new Data Efficiency group under the Robot Intelligence Lab. Our ideal candidate is excited about working together with researchers, developers, and roboticists to explore novel AI-led techniques towards generalizing robots to perform tasks in the real world. Samsung’s unique advantage in the consumer electronics market and growing focus on AI will provide you with exciting technical challenges and a rewarding career experience. By leveraging Samsung’s vast product ecosystem to deliver novel user experiences, your work will define Samsung’s future in robotics and significantly impact real-world users.

Position Responsibilities:

  • Direct and manage state-of-the-art R&D to push boundaries of data efficient learning methods for robotics, including simulation training and evaluation, learning from egocentric video, generative models for simulation testing, real2sim2real, and teleoperation data augmentation
  • Lead a team to engineer efficient pipelines for data processing, learning, and model deployment, and support its use by groups within the Robot Intelligence Lab and affiliated Samsung Product and Advanced Research labs
  • Lead a team to prepare proof-of-concepts, demo/prototypes, design, and execute pilot studies using available robot platforms
  • Manage the operations of the team, such as recruiting, execution of technical milestones, patenting, contracting, purchasing, and facilities
  • Generate patents and scientific research papers for top-tier publications

Required Skills:

  • PhD. degree in a technology or engineering discipline or equivalent combination of education, training
  • 7+ years of work experience after PhD. in the robotics domain
  • Deep knowledge and experience in ML training, including data and model management techniques, data augmentation approaches, multi-GPU training, model tuning, and model deployment
  • Knowledge of production robot learning pipelines and options for data mixtures, including simulation, teleoperation, egocentric video, and third person video
  • Strong understanding of robotics fundamentals, including locomotion, manipulation, sensor inputs, SLAM, ROS, simulation environments (e.g. Nvidia Isaac-SIM), and policy architectures
  • Passion for leading teams and providing both formal and informal mentorship
  • Strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level
  • Sound knowledge of early-stage technology research programs: understanding user needs, gathering requirements, defining project scope and deliverables, building schedules and executing programs from inception to prototyping
  • Stay current with AI/ML and robot learning trends and research; be a thought leader in the Robot Learning area

Special Attributes:

  • Thrive in a fast-paced, dynamic environment
  • Contribute in a team-oriented environment, while driving your own agenda
  • Prioritize multiple tasks in order to consistently meet deadlines
  • Creatively solve problems in an analytical environment
  • Resilience to overcome hurdles and address failures with alternative paths
  • Adapt quickly to new environments, people, technologies and processes
  • High caliber presentation skills with the ability to adapt message to the audience and situation
  • Generate ideas while understanding and incorporating different points of view
  • Must be willing to travel domestically and internationally (10%)
Our total rewards programs are designed to motivate and engage exceptional talent. The base pay range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the base pay range, individual rates depend on a number of factors—including the role’s function and location as well as the individual’s knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well.
Base Pay Range
$203,700$305,500 USD

Additional Information

Disclosure of Trade Secrets

Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer.

Essential Job Functions

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.

Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email [email protected].

Equal Employment Opportunity

At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

Samsung Research America is committed to employing a diverse workforce, and  provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: Pay Transparency

HQ

Samsung Research America Mountain View, California, USA Office

665 Clyde Avenue, Mountain View, CA, United States, 94043

Samsung Research America San Francisco, California, USA Office

San Francisco, United States

Similar Jobs

A Minute Ago
Remote or Hybrid
United States
92K-154K Annually
Senior level
92K-154K Annually
Senior level
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Owns global Forward Deployed Engineering program governance, including modernization deal scoping, LOE calculators, SOPs, pre-sales to post-sales handoffs, SOW inputs, and enablement programs. The role coordinates Solution Engineering, Professional Services, Partners, Sales, and Product Management while improving processes, maintaining scoping frameworks, supporting customer-facing sales calls, and using delivery feedback to optimize operations.
Top Skills: Ai ToolingIdentity And Access Management (Iam)Sailpoint Identity Security Cloud
18 Minutes Ago
Easy Apply
Remote or Hybrid
US
Easy Apply
90K-149K Annually
Senior level
90K-149K Annually
Senior level
Marketing Tech • Social Media • Software • Analytics • Business Intelligence
Prepare SEC filings, financial statements, footnotes, MD&A, disclosures, workpapers, and XBRL tagging. Support SOX compliance, external audits, share-based compensation entries, reconciliations, technical accounting research, and disclosure benchmarking. Collaborate with Legal, Investor Relations, Finance, Accounting, and auditors while improving financial reporting processes and using AI to enhance reporting workflows.
Top Skills: ExcelNetSuiteSec ReportingSox ComplianceU.S. GaapWorkivaXbrl
38 Minutes Ago
Hybrid
90K-130K Annually
Junior
90K-130K Annually
Junior
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead and coach a remote team of Enterprise BDRs responsible for inbound and outbound pipeline generation. Manage performance against meeting and pipeline goals, develop campaigns with Growth Operations and Demand Generation, ensure lead qualification and Salesforce management, identify trends, and improve processes, workflows, technology, compensation, training, and professional development.
Top Skills: CybersecurityLinkedin Sales NavigatorSalesforceSalesloftZoominfo

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account