
51 - 200 employees
Founded 2024
🔧 Hardware
🤖 Artificial Intelligence
🤝 B2B
🔥 Funding within the last year
💰 $80M Series A on 2025-08
Hardware • Artificial Intelligence • B2B
Bedrock Robotics is a company that develops autonomous systems and machine intelligence for heavy construction equipment, enabling continuous, safer, and more productive on-site operations. Its flagship offering (the Bedrock Operator) retrofits or integrates with everyday machinery to provide perception, control, and adaptive autonomy so machines can operate day or night, reduce rework, and improve jobsite safety and productivity. The company targets construction and infrastructure teams with hardware and software solutions informed by extensive field hours and engineering experience from autonomous vehicles.
🕒 March 18
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51 - 200 employees
Founded 2024
🔧 Hardware
🤖 Artificial Intelligence
🤝 B2B
🔥 Funding within the last year
💰 $80M Series A on 2025-08
Hardware • Artificial Intelligence • B2B
Bedrock Robotics is a company that develops autonomous systems and machine intelligence for heavy construction equipment, enabling continuous, safer, and more productive on-site operations. Its flagship offering (the Bedrock Operator) retrofits or integrates with everyday machinery to provide perception, control, and adaptive autonomy so machines can operate day or night, reduce rework, and improve jobsite safety and productivity. The company targets construction and infrastructure teams with hardware and software solutions informed by extensive field hours and engineering experience from autonomous vehicles.
• Design and maintain eval systems • Develop metrics • Classify data sources for training and testing • Predict system performance
• 5+ years of professional software engineering, data science, or research experience • 2+ years of professional experience analyzing modern ML or robotics system performance on real-world problems • Proficiency in Python and a data warehouse query language • Strong statistical analysis skills (e.g. classification, model fit bias determination, hypothesis testing, and uncertainty quantification) • Experience working with large datasets
• Flexible work arrangements • Professional development opportunities
Apply Now🕒 March 18
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