Bedrock Robotics Logo

Bedrock Robotics

Software Engineer

Reposted One Month Ago
Hybrid
New York, NY, USA
Senior level
Hybrid
New York, NY, USA
Senior level
Lead design and build core backend services and infrastructure for autonomous construction equipment, including fleet management, task orchestration, monitoring, tooling for testing and deployments, and collaboration with frontend, ML, and robotics teams.
The summary above was generated by AI
Join the team bringing advanced autonomy to the built world

At Bedrock, we're moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects.
We're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.

The Role:

Take on a lead role in designing and building the core services and infrastructure that will power the next generation of autonomous construction equipment. From fleet management to autonomous task orchestration and machine coordination- you’ll work with a world class engineering team to build and design the core infrastructure that powers our machine interfaces, workflows, and services.

Also, you get to drive 100,000 lb excavators.

What You'll Do:

  • Own the design, architecture, implementation and iteration of 0-to-1 services and infrastructure to support autonomous operations and distributed fleet management

  • Develop data intensive services for machine operators to visualize and monitor robotics systems

  • Partner closely with a full stack team (from Frontend, to ML and Robotics) to design technical solutions efficiently, be comfortable with rapid prototyping and experimentation

  • Build tooling to streamline processes such as autonomous testing, model deployments, and in-the-field fleet management

  • Establish our core backend frameworks, patterns, and infrastructure

Required Qualifications:

  • 6+ years of professional experience owning the design, architecture and implementation of backends to highly complex, business critical applications

  • Expertise in running and maintaining high-uptime services: observability, monitoring, and performance tuning

  • Small startup experience: rapid prototyping and building from the ground up

  • Capability to design and implement application architectures from first principles with modern cloud technologies

Preferred Qualifications:

  • Some experience building with complex geospatial tooling (e.g. GIS, robotics, construction tech, command & control interfaces)

  • Experience dealing with infra at the edge: low latency SLAs in dynamic bandwidth environments (LTE, IoT, mobile)

  • Experience working in AWS

Bedrock Robotics is an Equal Opportunity Employer

We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.

Reasonable Accommodations

We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.

Similar Jobs

Yesterday
Hybrid
2 Locations
Mid level
Mid level
Financial Services
Develop and deploy AI/ML models, data pipelines, and secure production systems. Build scalable architecture for training and inference, transform large datasets, implement NLP and generative AI solutions, and productionize models with data scientists. The role requires Python, Java, ML frameworks, cloud platforms, CI/CD, MLOps, containerization, and responsible AI practices, while contributing to technical communities through demonstrations, presentations, and knowledge sharing.
Top Skills: AWSAzureCi/CdCSSDatabricksDockerGCPGenerative AiHTMLJavaKubernetesLarge Language ModelsMlopsNlpNumpyPandasPythonPyTorchRagScikit-LearnSparkTensorFlowTransformersVector Databases
Yesterday
In-Office
New York, NY, USA
120K-160K Annually
Mid level
120K-160K Annually
Mid level
Cloud • Information Technology • Machine Learning
Develop and maintain scalable software for CoreWeave’s GPU infrastructure validation and performance testing platform. Build automated performance tests and hardware validation workflows, maintain Kubernetes controllers and operators, extend open-source tooling for system metrics and health visibility, troubleshoot infrastructure at scale, and participate in on-call support. The role requires Go or Python development and production-scale Kubernetes experience, with backend, hardware testing, HPC, and AI/ML infrastructure experience preferred.
Top Skills: Ai/Ml InfrastructureGoGpu InfrastructureHpcKubernetesPython
Yesterday
Remote or Hybrid
United States
104K-130K Annually
Junior
104K-130K Annually
Junior
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Develop and maintain native iOS applications using Swift and SwiftUI for DraftKings’ financial platform. Responsibilities include building user-facing features, integrating APIs, managing data and state, optimizing performance, monitoring crash analytics, participating in code reviews and testing, and troubleshooting reliability issues. The role collaborates with product, design, analytics, and engineering teams to deliver scalable, compliant mobile experiences.
Top Skills: Ci/CdiOSMvcMvvmSwiftSwiftui

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account