Full-Time
Research Engineer
Skild AI
11-50 employees
Develops general purpose robotic intelligence
Compensation Overview
$100k - $300k/yr
Mid, Senior
San Francisco, CA, USA + 1 more
More locations: Pittsburgh, PA, USA
- BS, MS or PhD degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
- Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
- Strong track record of publishing papers and/or deploying real-world applications.
- Deep technical knowledge, and research experience in deep learning, reinforcement and/or imitation learning, robotics, or computer vision.
- Experience working with robot systems and large-scale model training.
- Develop and implement new algorithms for training and optimizing general-purpose robot foundation models.
- Design and engineer systems to scale research from prototypes to fully deployable solutions, working with large-scale systems and datasets.
- Conduct cutting edge research across multiple disciplines (Perception, Robotics, RL/ IL, Machine Learning, etc.).
- Collaborate with a multidisciplinary team, contributing to the integration of research insights into practical robotics applications.
- Optimize machine learning models for real-world robotic systems.
- BS, MS or PhD degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
- Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
- Strong track record of publishing papers and/or deploying real-world applications.
- Deep technical knowledge, and research experience in deep learning, reinforcement and/or imitation learning, robotics, or computer vision.
- Experience working with robot systems and large-scale model training.
Skild AI focuses on developing general-purpose robotic intelligence. Their technology aims to create robots that can perform a wide range of tasks, adapting to different environments and challenges. This is achieved through advanced algorithms and machine learning techniques that allow the robots to learn from their experiences and improve their performance over time. Unlike many competitors that specialize in narrow applications, Skild AI's approach is to build versatile robots capable of handling various functions. The company's goal is to make robotic intelligence accessible and useful across multiple industries, enhancing productivity and efficiency.
Company Size
11-50
Company Stage
Series B
Total Funding
$500M
Headquarters
Pittsburgh, Pennsylvania
Founded
2023
Simplify's Take
What believers are saying
- Skild AI secured $200M in Series B, boosting its valuation to $4.5 billion.
- Investments from NVIDIA and Samsung show strong industry confidence in Skild AI.
- SoftBank's involvement provides strategic resources and valuable industry connections.
What critics are saying
- Increased competition from Swiss-Mile could threaten Skild AI's market share.
- Pittsburgh's VC funding slowdown may limit Skild AI's future investment opportunities.
- Developing 'artificial general intelligence' may face technical and ethical challenges.
What makes Skild AI unique
- Skild AI focuses on a 'general-purpose brain' for modular AI integration.
- The company is a spinout from Carnegie Mellon, enhancing its academic credibility.
- Skild AI's horizontal approach targets broad deployment across various robotics mechanisms.
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Growth & Insights and Company News
6 month growth
↑ 33%1 year growth
↑ 100%2 year growth
↑ 100%Skild AI, a robotics systems developer, has secured a $200 million Series B funding round, bringing its valuation to approximately $4.5 billion. The round was led by Japan's SoftBank Group, which contributed $100 million. Other investors include NVIDIA and Samsung Electronics.
Samsung Electronics and Nvidia Corp. have invested in US-based Skild AI Inc. as part of its Series B funding round, valuing the company at around $4.5 billion. SoftBank Group leads with a $100 million investment, while Samsung and Nvidia contribute $10 million and $25 million, respectively. This move aligns with Nvidia's "physical AI" strategy and Samsung's broader robotics ambitions, including its stake in Rainbow Robotics and plans to release the Ballie home assistant.
After months of outreach and careful consideration, our collection of this year’s most promising Pittsburgh startups is here.Technical.ly’s annual RealLIST Startups identifies the region’s young companies on track to continue their upward trajectories. We rank these companies 1 through 10 based on our analysis of their recent accomplishments, and also include a list of runners up. We’ve published this annual feature in various ecosystems stretching back nearly a decade, highlighting companies with impressive products, goals, founders and funders. 2025 marks the fourth year of our Pittsburgh roster; find the 2022, 2023 and 2024 editions here.Technical.ly compiled this year’s list by reviewing our reporting and asking the public for nominations. The final group includes startups pushing to change the game in several industries, including medical devices, marketing, manufacturing, recycling, agriculture and health insurance. To land on this list, the companies must be founded in 2022 or later, make most of their revenue from selling a product (no consultants) and not have undergone a significant exit, acquisition or IPO. The companies on this list have achieved significant milestones, including major fundraises, accelerator participation, notable investors and impactful missions.Pittsburgh, here are your 2025 RealLIST Startup honorees.Can't see the info above? View it in a new tab.Methodology: To build RealLIST Startups, Technical.ly’s editorial team assesses factors including societal impact, founder experience, capital raised and community involvement. We ask each startup candidate to complete a survey to help us understand and verify these factors, and we only include companies that have responded
From left to right: NASA’s Ingenuity Helicopter, Boston Dynamics’ Atlas humanoid, and Waymo’s latest autonomous vehicle. | Source: NASA JPL, Boston Dynamics, and Waymo. With 2024 in the rearview mirror, we’re looking back at some of the biggest robotics trends of the year. While the year was full of exciting innovations and new technologies, we also saw the industry weather dips in funding and slower sales. Here are our five biggest trends for 2024:. Humanoids continue to dominate the news
Swiss-Mile, which makes robots for logistics and other use cases, is reportedly set to raise about $20 million from investors that include Amazon Industrial Innovation Fund, Bezos Expeditions and HongShan, which was formerly Sequoia Capital China. This seed funding round would value the company at over $100 million, Bloomberg reported Wednesday (Aug. 28), citing unnamed sources. Swiss-Mile did not immediately reply to PYMNTS’ request for comment