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Software AI Engineer / Robotics / Brooklyn
Tech in Motion
4 hours ago
Full-time
On-site
New York City, New York, United States
Job Description
A technology company is using artificial intelligence and machine learning to accelerate scientific research and development. Its platform combines software, data, and experimental automation to help researchers explore and develop new materials more efficiently.
As a Software Engineer, you’ll build the core software that powers an AI platform and autonomous laboratory systems. This is a generalist role spanning backend services, agent tools, data pipelines, workflow orchestration, internal platforms, and production infrastructure. Your work may directly control and monitor systems operating in the physical world.
You’ll collaborate across software, robotics, machine learning, and experimental automation. You may not have experience with every technology in the role, but you’re excited to learn, take ownership, and build reliable systems in a technically demanding environment.
Required Skills & Experience
Strong software engineering fundamentals and experience designing, building, and shipping production software end to end
Experience with modern backend development using Python, Go, Rust, or a similar language
Familiarity with concurrent and asynchronous programming, including event loops, cancellation, bounded queues, and task orchestration under failure conditions
Understanding of distributed systems challenges, including timeouts, retries, partial failures, and production debugging
Experience designing or operating fault-tolerant systems, with practices such as idempotency, dead-letter queues, and safe rollback
Familiarity with Kubernetes and containerization
Strong engineering judgment, with an emphasis on correctness, maintainability, and clear interfaces
High ownership and a proactive approach to identifying problems, driving fixes, and improving quality
Desired Skills & Experience
Experience with agentic systems or large language model workflows, including tool calling, context management, LangChain, or PydanticAI
Infrastructure experience with Docker, Kubernetes, Terraform or CloudFormation, and cloud or on-premises deployments
Experience with CI/CD systems such as GitHub Actions, Jenkins, or CircleCI, or with DevSecOps practices
Familiarity with embedded protocols such as serial, I²C, or Modbus; device virtualization; or microcontroller firmware
Experience with observability tools and practices, such as Datadog, Prometheus, Grafana, ELK, or distributed tracing
Contributions to systems for robotics, automation, or manufacturing infrastructure
Frontend experience with Svelte, React, or similar frameworks, including responsive, real-time interfaces, state management, testing, usability, structured APIs, and browser performance
Experience designing reproducible and testable systems for devices that can behave unpredictably
What You Will Be Doing Daily Responsibilities
Build agent capabilities and tools, including API integrations, code execution, scientific literature retrieval, and workflow automation
Develop scientific workflow orchestration for processes such as Bayesian optimization, experiment scheduling, and long-running jobs
Implement retries, idempotency, and other safeguards for workflows that may fail or be interrupted
Build pipelines to ingest, store, and transform data used by models and language models
Create internal developer platforms, tooling, SDKs, shared services, and service templates
Develop observability and reliability systems using structured logs, metrics, tracing, and debugging workflows
Support hybrid infrastructure across cloud and on-premises environments, including containerization, orchestration, and infrastructure as code
Work with engineers across software, robotics, machine learning, and experimental automation to build and operate production systems
The Offer
Competitive base salary, with compensation based on job-related knowledge, skills, and experience
Equity and benefits
Medical, dental, and vision insurance for employees and their families, covered at 100%
Mental health and wellness support
Unlimited paid time off and 14 or more company holidays per year
401(k)
Opportunity to work closely with a team advancing AI research
The chance to contribute to scientific software and materials discovery
Applicants must be authorized to work in the US on a full-time basis now and in the future.
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As a Software Engineer, you’ll build the core software that powers an AI platform and autonomous laboratory systems. This is a generalist role spanning backend services, agent tools, data pipelines, workflow orchestration, internal platforms, and production infrastructure. Your work may directly control and monitor systems operating in the physical world.
You’ll collaborate across software, robotics, machine learning, and experimental automation. You may not have experience with every technology in the role, but you’re excited to learn, take ownership, and build reliable systems in a technically demanding environment.
Required Skills & Experience
Strong software engineering fundamentals and experience designing, building, and shipping production software end to end
Experience with modern backend development using Python, Go, Rust, or a similar language
Familiarity with concurrent and asynchronous programming, including event loops, cancellation, bounded queues, and task orchestration under failure conditions
Understanding of distributed systems challenges, including timeouts, retries, partial failures, and production debugging
Experience designing or operating fault-tolerant systems, with practices such as idempotency, dead-letter queues, and safe rollback
Familiarity with Kubernetes and containerization
Strong engineering judgment, with an emphasis on correctness, maintainability, and clear interfaces
High ownership and a proactive approach to identifying problems, driving fixes, and improving quality
Desired Skills & Experience
Experience with agentic systems or large language model workflows, including tool calling, context management, LangChain, or PydanticAI
Infrastructure experience with Docker, Kubernetes, Terraform or CloudFormation, and cloud or on-premises deployments
Experience with CI/CD systems such as GitHub Actions, Jenkins, or CircleCI, or with DevSecOps practices
Familiarity with embedded protocols such as serial, I²C, or Modbus; device virtualization; or microcontroller firmware
Experience with observability tools and practices, such as Datadog, Prometheus, Grafana, ELK, or distributed tracing
Contributions to systems for robotics, automation, or manufacturing infrastructure
Frontend experience with Svelte, React, or similar frameworks, including responsive, real-time interfaces, state management, testing, usability, structured APIs, and browser performance
Experience designing reproducible and testable systems for devices that can behave unpredictably
What You Will Be Doing Daily Responsibilities
Build agent capabilities and tools, including API integrations, code execution, scientific literature retrieval, and workflow automation
Develop scientific workflow orchestration for processes such as Bayesian optimization, experiment scheduling, and long-running jobs
Implement retries, idempotency, and other safeguards for workflows that may fail or be interrupted
Build pipelines to ingest, store, and transform data used by models and language models
Create internal developer platforms, tooling, SDKs, shared services, and service templates
Develop observability and reliability systems using structured logs, metrics, tracing, and debugging workflows
Support hybrid infrastructure across cloud and on-premises environments, including containerization, orchestration, and infrastructure as code
Work with engineers across software, robotics, machine learning, and experimental automation to build and operate production systems
The Offer
Competitive base salary, with compensation based on job-related knowledge, skills, and experience
Equity and benefits
Medical, dental, and vision insurance for employees and their families, covered at 100%
Mental health and wellness support
Unlimited paid time off and 14 or more company holidays per year
401(k)
Opportunity to work closely with a team advancing AI research
The chance to contribute to scientific software and materials discovery
Applicants must be authorized to work in the US on a full-time basis now and in the future.
#J-18808-Ljbffr