About the Role

You will be a SME and technical leader in engineering Infrastructure, productivity and enterprise tooling, partnering with globally distributed Engineering, Product and Security teams and systems.

What You’ll Be Doing

Roku is seeking a world class engineer to be a true force multiplier by owning the strategy, architecture, and long-term execution of engineering infrastructure, enterprise tooling, and AI-assisted workflow automation. This architect/strategist role drives org-wide improvements in engineering productivity, delivery throughput, quality, security posture, and cost efficiency by building platforms, working practices and automation (including AI/LLM-enabled capabilities) that scale across geographies and time zones.

Key Responsibilities

AI-First Automation & Intelligent Tooling

• Define and lead an AI-first automation roadmap for Engineering Infrastructure and Enterprise Tooling (e.g., reducing waste, accelerating reviews, improving incident response, increasing release confidence).
• Architect and ship AI/LLM-enabled workflow automation across the SDLC (e.g. risk assessment, automated build, test and deployment, intelligent test selection, change-impact analysis, auto-triage of build/test failures).
• Establish policies and guardrails for AI usage in internal tools: data handling, prompt/response logging, model/provider selection, evaluation, fallback behaviors, and abuse prevention.

Dev Productivity & Enterprise Tooling (Global Scale)

• Set technical direction and standards for the globally used developer tools, including build systems. Source code management, branching/release strategy, and self-service support tools.
• Architect and evolve, CI/CD and build/test pipelines using Jenkins, Docker, and build systems (Bazel /BitBake/Yocto  preferred) to support multi-site engineering environments.
• Own and scale test and quality workflows leveraging test management systems (e.g., TestRail or equivalent), enabling consistent traceability, reporting, and release sign-off across distributed teams.
• Drive Jira workflow design and automation (templates, guardrails, integrations) to provide consistent cross-org visibility and execution.

Workflow Automation (Cross-Functional, Cross-Geo)

• Design and implement automation spanning Engineering, Product, Marketing, and Partners (e.g., launch readiness, certification/release checklists, partner onboarding, incident/change workflows).
• Replace manual coordination with durable automation and integrations that work reliably across regions/time zones.

Security, Cost, Performance, and Reliability (Distributed Systems)

• Embed secure-by-default controls into pipelines and tooling (access control, secrets handling, audit trails, policy enforcement), including for AI-enabled systems.
• Improve build/test performance and reliability (build times, test duration, flake reduction, pipeline stability) using measurable KPIs and operational rigor.
• Drive cost efficiencies across tooling/infrastructure (compute utilization, caching strategies, license rationalization including AI/runtime costs and ROI tracking.
• This is a highly visible role and you will report directly to a Vice President of Engineering. This requires a very strong technical leader with experience in the development of consumer electronics devices. The right person for this role will have ability to collaborate well with engineering and partner teams.
• Own cross-team architectures and standards; drive adoption through influence, clear technical judgment, and sustained multi-quarter execution.
• Lead design reviews, mentor senior engineers, and unblock the hardest technical problems across distributed teams and systems.
• Provide long-term stewardship via roadmaps, operational maturity (runbooks/SLOs), and incident/postmortem practices suitable for 24/7 global operations.
• Establish yourself as the person others bring their hardest problems to

We’re Excited If You Have

• Bachelor’s in Computer Science or Computer Engineering, or equivalent experience
• Prior experience at Staff, Principal, or Architect level
• Ownership in platform/infrastructure, developer productivity, CI/CD, build systems, or workflow automation, including work spanning globally distributed teams and systems.
• Strong, hands-on knowledge of:

• • Git (workflows, branching strategies, release management)
  • Jenkins (CI/CD pipeline design, scaling, reliability)
  • Docker containers (reproducible build/test execution)

Build systems ( itBake/Yocto preferred)

• Jira (workflow design/automation, cross-team visibility)
• Test management systems (e.g., TestRail or equivalent)
• Demonstrated experience delivering automation at scale, including building platforms/components used by multiple teams.
• Strong systems thinking across security, reliability, performance, and cost tradeoffs.
• Excellent written communication (architecture docs, decision records, operating procedures).
• Experience building AI-assisted developer tooling (e.g., CI insights, test intelligence, code review automation, release risk scoring, incident copilots).
• Experience implementing evaluation/monitoring for AI systems (quality metrics, drift, offline test sets, human feedback loops).
• Extensive experience with software development on embedded Linux,  multi-process architectures and IPC mechanisms
• Experience working in large cross functional teams and ability to influence teams that don't report to you
• Ability to see the big picture while focused on short-term objectives and deliverables
• Ability to multi-task and drive parallel projects and distributed teams with tight deadlines

#LI-NM1

About the Role

You will be a SME and technical leader in engineering Infrastructure, productivity and enterprise tooling, partnering with globally distributed Engineering, Product and Security teams and systems.

What You’ll Be Doing

Roku is seeking a world class engineer to be a true force multiplier by owning the strategy, architecture, and long-term execution of engineering infrastructure, enterprise tooling, and AI-assisted workflow automation. This architect/strategist role drives org-wide improvements in engineering productivity, delivery throughput, quality, security posture, and cost efficiency by building platforms, working practices and automation (including AI/LLM-enabled capabilities) that scale across geographies and time zones.

Key Responsibilities

AI-First Automation & Intelligent Tooling

• Define and lead an AI-first automation roadmap for Engineering Infrastructure and Enterprise Tooling (e.g., reducing waste, accelerating reviews, improving incident response, increasing release confidence).
• Architect and ship AI/LLM-enabled workflow automation across the SDLC (e.g. risk assessment, automated build, test and deployment, intelligent test selection, change-impact analysis, auto-triage of build/test failures).
• Establish policies and guardrails for AI usage in internal tools: data handling, prompt/response logging, model/provider selection, evaluation, fallback behaviors, and abuse prevention.

Dev Productivity & Enterprise Tooling (Global Scale)

• Set technical direction and standards for the globally used developer tools, including build systems. Source code management, branching/release strategy, and self-service support tools.
• Architect and evolve, CI/CD and build/test pipelines using Jenkins, Docker, and build systems (Bazel /BitBake/Yocto  preferred) to support multi-site engineering environments.
• Own and scale test and quality workflows leveraging test management systems (e.g., TestRail or equivalent), enabling consistent traceability, reporting, and release sign-off across distributed teams.
• Drive Jira workflow design and automation (templates, guardrails, integrations) to provide consistent cross-org visibility and execution.

Workflow Automation (Cross-Functional, Cross-Geo)

• Design and implement automation spanning Engineering, Product, Marketing, and Partners (e.g., launch readiness, certification/release checklists, partner onboarding, incident/change workflows).
• Replace manual coordination with durable automation and integrations that work reliably across regions/time zones.

Security, Cost, Performance, and Reliability (Distributed Systems)

• Embed secure-by-default controls into pipelines and tooling (access control, secrets handling, audit trails, policy enforcement), including for AI-enabled systems.
• Improve build/test performance and reliability (build times, test duration, flake reduction, pipeline stability) using measurable KPIs and operational rigor.
• Drive cost efficiencies across tooling/infrastructure (compute utilization, caching strategies, license rationalization including AI/runtime costs and ROI tracking.
• This is a highly visible role and you will report directly to a Vice President of Engineering. This requires a very strong technical leader with experience in the development of consumer electronics devices. The right person for this role will have ability to collaborate well with engineering and partner teams.
• Own cross-team architectures and standards; drive adoption through influence, clear technical judgment, and sustained multi-quarter execution.
• Lead design reviews, mentor senior engineers, and unblock the hardest technical problems across distributed teams and systems.
• Provide long-term stewardship via roadmaps, operational maturity (runbooks/SLOs), and incident/postmortem practices suitable for 24/7 global operations.
• Establish yourself as the person others bring their hardest problems to

We’re Excited If You Have

• Bachelor’s in Computer Science or Computer Engineering, or equivalent experience
• Prior experience at Staff, Principal, or Architect level
• Ownership in platform/infrastructure, developer productivity, CI/CD, build systems, or workflow automation, including work spanning globally distributed teams and systems.
• Strong, hands-on knowledge of:

• • Git (workflows, branching strategies, release management)
  • Jenkins (CI/CD pipeline design, scaling, reliability)
  • Docker containers (reproducible build/test execution)

Build systems ( itBake/Yocto preferred)

• Jira (workflow design/automation, cross-team visibility)
• Test management systems (e.g., TestRail or equivalent)
• Demonstrated experience delivering automation at scale, including building platforms/components used by multiple teams.
• Strong systems thinking across security, reliability, performance, and cost tradeoffs.
• Excellent written communication (architecture docs, decision records, operating procedures).
• Experience building AI-assisted developer tooling (e.g., CI insights, test intelligence, code review automation, release risk scoring, incident copilots).
• Experience implementing evaluation/monitoring for AI systems (quality metrics, drift, offline test sets, human feedback loops).
• Extensive experience with software development on embedded Linux,  multi-process architectures and IPC mechanisms
• Experience working in large cross functional teams and ability to influence teams that don't report to you
• Ability to see the big picture while focused on short-term objectives and deliverables
• Ability to multi-task and drive parallel projects and distributed teams with tight deadlines

#LI-NM1

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence

Job Summary

As a member of the drivers and utilities team you will contribute to the planning, design, implementation and testing of low level kernel drivers and user space driver library code. You will be part of one of the two teams in the system software department (the firmware team being the other one) and report to the drivers and utilities team manager.  

The Team

The drivers and utilities team forms part of the system software group – working closely with both software engineers developing our Poplar SDK and with silicon and hardware engineers developing Graphcore’s IPU solution. The drivers and utilities team develop custom control software on the host in kernel and user space. Our solutions enable our customers to get maximum performance and utility for our cutting-edge products.  

Responsibilities and Duties

• Design, implement, test and document OS Kernel and Device Driver software at the highest standard using C/C++/Python programming languages
• Participate in agile development – working as part of a scrum team to develop the right software at pace
• Communicate effectively and contribute regularly to technical discussions with your peers in software and hardware engineering, with architects and other stakeholders
• Hands-on during key product development phases involving close working with hardware and silicon engineering groups to enable fast time to market delivery

Candidate Profile

Essential:

• Proven industry experience in software development using programming languages such as C/C++/Python
• OS Kernel and Device Driver development and deployment experience in Linux or Windows systems
• Good understanding of lower-level software stack and interactions with the hardware layer
• Possess effective problem-solving skills, familiar with a full suite of debug and performance analysis tools and techniques
• Experience with one or more of the following: PCIe, CPU, device drivers, SoC, firmware, and hardware/software integration
• Proactive in obtaining engineering or management input to solve issues
• Motivated to schedule own workload
• Excellent written and verbal communication skills, work well within a multinational team and with multinational customers. Excellent cultural awareness is essential. 

Desirable

• Experience developing firmware or drivers for GPUs. 
• Knowledge of CUDA or OpenCL  
• Experience working on upstreaming of kernel code / contributing to Linux kernel.
• Exposure to integration with data centre / cloud service operations – for example integration with Kubernetes or open stack. 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

Senior: PLN 260,400 - 352,200
Staff: PLN 350,700 - 474,400
Subject to alignment to the responsibilities and duties of the role - we currently have multiple positions available at both Senior and Staff level

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence

Job Summary

As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.

The Team

The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.

If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!

Responsibilities and Duties

• Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
• Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
• Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods, implement them and evaluate results.
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
• Engage with AI community and keep in touch with the latest developments in AI.

Candidate Profile

Essential:

• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
• Proficiency in deep learning frameworks like PyTorch/JAX.
• Strong Python or C++ software development skills
• Expertise in deep learning from model training to optimisation and evaluation.
• Experience in distributed training or inference of ML models across 64+ accelerators.
• Capable of designing, executing and reporting from ML experiments.
• Developed deep understanding of performance bottlenecks and how to overcome them.
• Ability to move quickly in a dynamic environment
• Enjoy cross-functional work collaborating with other teams.
• Strong communicator - able to explain complex technical concepts to different audiences.

Desirable:

• Experience in one or more of:
  • MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic.
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
• Have contributed to open-source projects or published research papers in relevant fields.
• Knowledge of cloud computing platforms.
• Keen to present, publish and deliver talks in the AI community.

Benefits

In addition to a competitive salary, Graphcore offers annual leave policy, medical and dental health plans, a gym card, and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

About Graphcore 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.  

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.   

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.  

Job Summary  

Reporting to a Team Lead in the frameworks team you will play a pivotal role in designing, implementing, optimising, maintaining and supporting the software required to ensure the machine learning accelerators that Graphcore develop enjoy first-class support in state-of-the-art machine learning frameworks such as PyTorch and Triton (note: “Triton” here refers to the Triton language/compiler and not the inference framework).  

This role sees you joining our Triton team, where you will be part of a SCRUM team working on delivering new features, optimise performance, reviewing code changes, writing technical documentation, working with upstream communities, maintaining the code base and supporting users.  

In this role you will closely collaborate with other engineers, both within the Triton team as well as other engineering teams. You help the team coordinate and deliver complex, open-ended technical tasks. You are pro-active and an excellent communicator. You will develop deep expertise in the Triton project and will (in time) contribute to the team’s technical direction and processes. You understand the importance of managing code quality and code complexity and balancing this against the need to deliver business outcomes. 

Note that the job title and associated benefits will be tailored to the successful candidate’s level of experience at the job offer stage to one of Software Engineer, Staff Engineer, Senior Staff Engineer, Principal Software Engineer or Senior Principal Software Engineer. Note that as the machine learning software landscape is quite fast moving and as such flexibility is essential – over time you may be asked to work on teams other than Triton. 

The Team 

The Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – Pytorch, Triton, Jax and TensorFlow. We’re a talented and diverse team of engineers and we foster a culture of collaboration, openness and learning. All our software teams follow agile working practices, and we care deeply about both ease-of-use as well as performance. We work closely work with other Graphcore teams as well as leading open-source communities.  

By joining us, you’ll join our exciting journey on the cutting edge of the machine learning industry. Your contributions will make a real difference – enabling machine learning engineers and researchers to unlock the full potential of Graphcore’s hardware.  

Responsibilities and Duties 

• Designing and implementing new features & maintaining and supporting existing features.
• Developing and maintaining unit tests, component tests and integration tests.
• Optimising the software stack to make it more performant for our users.
• Managing complex technical tasks with cross-team dependencies.
• Managing code quality, code complexity and technical debt.
• Provide technical leadership, contributing the team’s technical direction and processes.
• Contributing to documentation, including user manuals and tutorials.
• Conducting code reviews.
• Resolving regressions, performance issues and software defects.
• Coaching and mentoring other team members.
• Contributing to a collaborative team culture.
• Contribute to continuous improvements to improve ways of working.
• Working with upstream open-source development teams. 

Candidate Profile 

Essential: 

• Demonstrable strong software engineering skills.
• Demonstrable experience of Python/C++ development.
• Demonstrable experience of compiler development. 

Desirable: 

• Experience with MLIR (or more generally: SSA-based IRs) is highly desirable. 
• Demonstrable knowledge of AI/ML.
• Understanding of computing architectures.
• Experience of maintaining and supporting a complex code base.
• Experience in profiling / optimising high performance code.
• Experience of writing ML kernels.
• Experience of using and/or development of ML Frameworks.
• Experience in a computationally intensive engineering field. 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.

The Team

The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.

If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!

Responsibilities and Duties

• Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
• Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
• Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods, implement them and evaluate results.
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
• Engage with AI community and keep in touch with the latest developments in AI.

Candidate Profile

Essential:

• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
• Proficiency in deep learning frameworks like PyTorch/JAX.
• Strong Python or C++ software development skills
• Expertise in deep learning from model training to optimisation and evaluation.
• Experience in distributed training or inference of ML models across 64+ accelerators.
• Capable of designing, executing and reporting from ML experiments.
• Developed deep understanding of performance bottlenecks and how to overcome them.
• Ability to move quickly in a dynamic environment
• Enjoy cross-functional work collaborating with other teams.
• Strong communicator - able to explain complex technical concepts to different audiences.

Desirable:

• Experience in one or more of:
  • MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic.
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
• Have contributed to open-source projects or published research papers in relevant fields.
• Knowledge of cloud computing platforms.
• Keen to present, publish and deliver talks in the AI community.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

We are seeking a Deputy Chief Engineer to lead our efforts in developing and deploying capabilities for artificial intelligence, machine learning, data management, decision systems, and mission planning software applications for the US National Security Ecosystem. This is an exceptional opportunity for an engineer with a combination of technical expertise, program leadership experience, and the ability to interface with customers to drive innovation, collaboration, and excellence in a fast-paced, growing organization.

Responsibilities:

• Set the technical vision and direction for programs, collaborating with internal technical staff and external customers

• Lead multidisciplinary teams developing algorithms, software, cloud, and data management solutions

• Manage program execution, ensuring schedule and budget adherence, and overseeing successful program delivery

• Cultivate strong relationships with external partners and stakeholders, advocating for MORSE's technology and services

• Identify and pursue new business opportunities, expanding our portfolio and driving long-term growth

• Provide technical oversight and guidance to program team members

Requirements:

• US Citizenship and ability to obtain and maintain a Security Clearance

• Bachelor’s or Master’s or PhD in Computer Science, Software Engineering, Aerospace Engineering, Electrical Engineering, Physics or a related field

• Minimum of 5 years of experience in software development, with a focus on AI/ML, cloud computing, and/or decision systems

• Proven leadership skills, with a track record of successfully managing high-performing technical teams

• Deep understanding of software development principles, methods, and tools

• Strong analytical and problem-solving abilities, with the capacity to absorb complex technical information quickly

• Excellent written and verbal communication skills, with the ability to present technical information clearly and persuasively to both technical and non-technical audiences

• Experience with Agile methodologies and DevOps practices

• Familiarity with cloud computing platforms and infrastructure is nice to have 

We are seeking a Deputy Chief Engineer to lead our efforts in developing and deploying capabilities for artificial intelligence, machine learning, data management, decision systems, and mission planning software applications for the US National Security Ecosystem. This is an exceptional opportunity for an engineer with a combination of technical expertise, program leadership experience, and the ability to interface with customers to drive innovation, collaboration, and excellence in a fast-paced, growing organization.

Responsibilities:

• Set the technical vision and direction for programs, collaborating with internal technical staff and external customers

• Lead multidisciplinary teams developing algorithms, software, cloud, and data management solutions

• Manage program execution, ensuring schedule and budget adherence, and overseeing successful program delivery

• Cultivate strong relationships with external partners and stakeholders, advocating for MORSE's technology and services

• Identify and pursue new business opportunities, expanding our portfolio and driving long-term growth

• Provide technical oversight and guidance to program team members

Requirements:

• US Citizenship and ability to obtain and maintain a Security Clearance

• Bachelor’s or Master’s or PhD in Computer Science, Software Engineering, Aerospace Engineering, Electrical Engineering, Physics or a related field

• Minimum of 5 years of experience in software development, with a focus on AI/ML, cloud computing, and/or decision systems

• Proven leadership skills, with a track record of successfully managing high-performing technical teams

• Deep understanding of software development principles, methods, and tools

• Strong analytical and problem-solving abilities, with the capacity to absorb complex technical information quickly

• Excellent written and verbal communication skills, with the ability to present technical information clearly and persuasively to both technical and non-technical audiences

• Experience with Agile methodologies and DevOps practices

• Familiarity with cloud computing platforms and infrastructure is nice to have 

We are seeking a Deputy Chief Engineer to lead our efforts in developing and deploying capabilities for artificial intelligence, machine learning, data management, decision systems, and mission planning software applications for the US National Security Ecosystem. This is an exceptional opportunity for an engineer with a combination of technical expertise, program leadership experience, and the ability to interface with customers to drive innovation, collaboration, and excellence in a fast-paced, growing organization.

Responsibilities:

• Set the technical vision and direction for programs, collaborating with internal technical staff and external customers

• Lead multidisciplinary teams developing algorithms, software, cloud, and data management solutions

• Manage program execution, ensuring schedule and budget adherence, and overseeing successful program delivery

• Cultivate strong relationships with external partners and stakeholders, advocating for MORSE's technology and services

• Identify and pursue new business opportunities, expanding our portfolio and driving long-term growth

• Provide technical oversight and guidance to program team members

Requirements:

• US Citizenship and ability to obtain and maintain a Security Clearance

• Bachelor’s or Master’s or PhD in Computer Science, Software Engineering, Aerospace Engineering, Electrical Engineering, Physics or a related field

• Minimum of 5 years of experience in software development, with a focus on AI/ML, cloud computing, and/or decision systems

• Proven leadership skills, with a track record of successfully managing high-performing technical teams

• Deep understanding of software development principles, methods, and tools

• Strong analytical and problem-solving abilities, with the capacity to absorb complex technical information quickly

• Excellent written and verbal communication skills, with the ability to present technical information clearly and persuasively to both technical and non-technical audiences

• Experience with Agile methodologies and DevOps practices

• Familiarity with cloud computing platforms and infrastructure is nice to have 

Job Summary:

We are seeking an experienced and talented Chief Engineer to lead our efforts in developing and deploying capabilities for artificial intelligence, machine learning, decision systems, and mission planning applications. This is an exceptional opportunity for a seasoned engineer to drive innovation, collaboration, and excellence in a fast-paced and growing organization.

Responsibilities:

• Set the technical vision and direction for programs, collaborating with internal technical staff and external customers

• Lead multi-disciplinary teams developing algorithmic, software, cloud, and data solutions

• Manage program execution, ensuring schedule and budget adherence, and overseeing successful program delivery

• Cultivate strong relationships with external partners and stakeholders, advocating for MORSE's technology and services

• Identify and pursue new business opportunities, expanding our portfolio and driving long-term growth

• Provide technical oversight and guidance to program team members

Requirements:

• US Citizenship and ability to obtain and maintain a Security Clearance. Active Secret, Top Secret, or TS/SCI is preferred. 

• Master's degree or PhD in Aerospace Engineering, Computer Science, Physics, Electrical Engineering, or a related field

• Minimum of 10 years of experience in R&D, with a focus on AI/ML, software, and decision systems

• Proven leadership skills, with a track record of successfully managing high-performing technical teams

• Deep understanding of software development principles, methods, and tools

• Strong analytical and problem-solving abilities, with the capacity to absorb complex technical information quickly

• Excellent written and verbal communication skills, with the ability to present technical information clearly and persuasively to both technical and non-technical audiences

• Experience with Agile methodologies and DevOps practices

• Familiarity with cloud computing platforms and infrastructure is nice to have

MORSE is seeking an experienced and talented Chief Engineer to lead our efforts in developing and deploying capabilities for artificial intelligence, machine learning, decision systems, and mission planning applications. This is an exceptional opportunity for a seasoned engineer to drive innovation, collaboration, and excellence in a fast-paced and growing organization.

Responsibilities:

• Set the technical vision and direction for programs, collaborating with internal technical staff and external customers

• Lead multi-disciplinary teams developing algorithmic, software, cloud, and data solutions

• Manage program execution, ensuring schedule and budget adherence, and overseeing successful program delivery

• Cultivate strong relationships with external partners and stakeholders, advocating for MORSE's technology and services

• Identify and pursue new business opportunities, expanding our portfolio and driving long-term growth

• Provide technical oversight and guidance to program team members

Requirements:

• US Citizenship and ability to obtain and maintain a Security Clearance. Active Secret, Top Secret, or TS/SCI is preferred. 

• Master's degree or PhD in Aerospace Engineering, Computer Science, Physics, Electrical Engineering, or a related field

• Minimum of 10 years of experience in R&D, with a focus on AI/ML, software, and decision systems

• Proven leadership skills, with a track record of successfully managing high-performing technical teams

• Deep understanding of software development principles, methods, and tools

• Strong analytical and problem-solving abilities, with the capacity to absorb complex technical information quickly

• Excellent written and verbal communication skills, with the ability to present technical information clearly and persuasively to both technical and non-technical audiences

• Experience with Agile methodologies and DevOps practices

• Familiarity with cloud computing platforms and infrastructure is nice to have

About Pioneering Intelligence

Pioneering Intelligence builds on Flagship Pioneering's legacy of founding cutting-edge science and computational ventures, harnessing recent advances in AI, machine learning, and data to accelerate fundamental research and create a portfolio of AI-first companies. As part of Flagship's integrated model of science, entrepreneurship, and capital, it transforms breakthrough ideas into world-changing companies, elevating the AI advances happening across the ecosystem in human health, sustainability, and beyond.

The Role

The Pioneering Intelligence team at Flagship Pioneering builds the digital and AI foundation that accelerates the creation and growth of our companies. We are seeking a Vice President of Engineering to lead a medium sized team of Principal Software Engineers, each operating as the technical authority for their own product area.

This is a non-traditional engineering leadership role. Rather than managing a layered organization, you will build and support a team composed entirely of senior individual contributors operating as technical leads at the highest level. Each engineer owns end-to-end technical decisions, builds hands-on, and engages directly with scientific users. Your job is not to manage their work but to set the conditions in which exceptional engineers do their best work, remove obstacles, raise the collective bar, and translate technical strategy into organizational direction.

You remain technically active. You will contribute to architectural decisions, review complex system designs, and stay close enough to the work to lead credibly. You spend roughly 25% of your time in hands-on technical work. The rest is spent on strategy, people, and organizational leadership: building the team, aligning with product leadership, representing the function to senior stakeholders, and driving the conditions for fast, high-quality delivery across the portfolio.

The model is intentionally fluid. Principal Engineers on this team may move between pure IC work and the formal coordination of other resources as project needs evolve, including the management of fully embedded software engineering contractors. It is the VP who balances resources across all teams and projects, in close collaboration with product and strategy leads, ensuring the right people are working on the right things at the right time.

You will work in close partnership with product and strategy leads and alongside a team of peers who expect the same rigor and accountability from you that you expect from them.

Key Responsibilities

• Lead and develop a team of approximately five Principal Software Engineers, each owning technical authority for their own product area
• Set technical strategy and architectural direction for the AI and digital platform, making or ratifying the most consequential build-vs-buy and system design decisions
• Stay technically active: contribute to architectural reviews, design complex systems, and maintain the credibility to lead a team of principal-level engineers
• Build and maintain the team itself: hire exceptional engineers, develop their careers, and create a culture where the floor is principal-level performance
• Represent engineering to product leadership, senior stakeholders, and across the Flagship ecosystem, translating technical direction into business impact
• Balance resources across all teams and projects in close collaboration with product and strategy leads, including decisions about when Principal Engineers take on formal coordination of embedded SWE contractors versus pure IC work
• Drive delivery across the portfolio by removing blockers, resolving cross-team dependencies, and ensuring the team ships with speed and quality
• Model and advance an AI-native engineering culture, including the use of tools like Claude Code as organizational force multipliers

Professional Experience and Qualifications

Experiences

• Has led a team of senior individual contributors or principal-level engineers, ideally in a lean, high-velocity organization where the team was small and the scope was large
• Has served as the technical authority on a complex, production-grade system, not as a manager who delegates the hard parts, but as an engineer who owned them
• Has built and scaled engineering organizations in ambiguous, fast-moving environments, ideally at a startup or within a high-autonomy team inside a larger organization
• Has worked closely with scientific or domain-expert users and understands how to build products that serve researchers, not just operators
• Has hired and developed principal or staff-level engineers, with a track record of raising the technical bar of a team over time

Skills

• Technically credible at the system design level: can evaluate architectural decisions, identify risk in complex designs, and contribute meaningfully to the hardest engineering conversations
• Leads through clarity: sets direction, makes decisions, and communicates tradeoffs without requiring repeated alignment
• Builds teams, not just products: knows how to hire exceptionally, develop senior talent, and create conditions where strong engineers stay and grow
• Fluent in AI-native ways of working and comfortable leading a team that uses tools like Claude Code as a core part of their engineering practice
• Writes with the same precision they expect from their engineers: strategy docs, architectural reviews, and hiring rubrics that don't require a follow-up meeting

Traits

• Strategic and hands-on at the same time: comfortable moving between organizational leadership and technical depth without losing credibility in either
• High standards without bureaucracy: holds the team to an exceptional bar without slowing them down with process for its own sake
• Founder-minded: attracted to ambiguity, motivated by impact, and able to build clarity from uncertainty rather than waiting for it to arrive
• Direct and decisive: makes calls with available information, owns the outcomes, and creates psychological safety for their team to do the same
• Multiplier, not bottleneck: earns trust by making the people around them better, not by centralizing decisions

Why Pioneering Intelligence?

• Lead a team of principal-level engineers where the work is genuinely hard and the people are genuinely exceptional
• Shape the technical strategy of an AI-native platform at the intersection of cutting-edge AI and life sciences
• Operate with the autonomy and organizational support to build the team and culture you believe in
• Work at the frontier of AI-augmented engineering, where the tools are state-of-the-art and the model of how software gets built is being reinvented
• Collaborate with visionary scientists, founders, and builders across Flagship's ecosystem
• Competitive compensation and benefits, including equity, commensurate with experience

About Flagship Pioneering

Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.  

Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.

At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship.

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.

The salary range for this role is $313,000 - $400,000. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Pioneering Intelligence currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Pioneering Intelligence's good faith estimate as of the date of publication and may be modified in the future.

Your Impact at LILA

Join us in shaping the future of science! We are seeking Staff, Senior II, and Senior I Software Engineers with either frontend or backend experience to join our software org, where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. Our teams span across App, Data, SSR, and LaS with a strong emphasis on Python development for scientific applications. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you!

Our Software Teams

The Application Team (App)- They build the operating system for AI-driven science. Their platform unifies Machine Learning, Life Sciences, Physical Sciences, and Software into one AI-native experience — where a scientist can go from hypothesis to experiment to result in a single conversation. They ship the agents, the integrations, and the interfaces that make that possible.

The Scientific System of Record Team (SSR) - They build the memory layer for Lila's operations. It answers two questions:what did we plan to build? and what actually happened? These systems connect scientific intent to physical reality. Together with the data and automation teams, their systems ensure reproducibility and close the Design-Build-Test-Learn (DBTL) loop.

The Lab as Software Team (LaS)- They act as the physical and virtual execution layer for Lila's AI-driven science. This connects the Lila App to AI Science Factories (AISFs), the mechanism through which experiments are dispatched to real instruments. This team owns the full stack of lab integration: orchestration of labflows, instrument integrations, bi-directional data transfer, and the UI/UX that AI scientists and operators use to interact with the lab.

The Data Platform Team (Data)- They build and support the data systems that underpins Lila's AI Science Factory™. Every experiment run in our labs, every measurement from an instrument, and every signal from our operational systems flows through the platform they build. Their work spans real-time ingestion, large-scale analytical storage, workflow orchestration, and the self-service tools scientists, engineers, and ML teams use to go from raw measurements to discoveries. They build the data backbone of Scientific Superintelligence™, so the science moves faster and each experiment makes the next one smarter.

What You'll Be Building

• Design & Build UI and APIs: Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications.
• Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.
• Application Development: Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability.
• Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.
• Cloud & Infrastructure: Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.
• Cross-Functional Collaboration: Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.

What You’ll Need to Succeed

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5-10 years of engineering experience building and deploying large-scale systems in production. You must be strong in either front-end or backend.
• Full Stack Development: Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)
• Hands on experience using AI coding assistants to drive productivity is required.
• Communication & Collaboration: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.
• Problem Solving: Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.

Bonus Points For

• Cloud & DevOps Knowledge: Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).
• Experience with ORMs: Experience with and web services for CRUD services (SQLModel, FastAPI, Django).
• Orchestration Systems: Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster).
• Familiarity with Python for Science: Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch).
• Domain Background: Exposure to laboratory software or analytics for life sciences, material sciences, or related fields.
• Experience with laboratory devices, robotics, or hardware drivers.

Your Impact at LILA

The Staff/Principal DevOps Engineer will drive the design, implementation, and optimization of our infrastructure and delivery platforms. This role bridges platform engineering, site reliability, and DevOps practices, building scalable, automated systems that enable fast, reliable software delivery across cloud and Kubernetes environments. You will collaborate with software engineers, lab scientists, and ML engineers to build infrastructure that powers automated scientific analysis, experiment orchestration, and more.

What You'll Be Building

• Build Kubernetes-based infrastructure supporting scientific services, ML pipelines, and platform workloads; including production hardening, RBAC, network policies, and Pod Security Standards
• CI/CD pipelines with GitHub Actions/GitLab CI implementing best practices: build attestations, SBOM generation, dependency scanning, and container image hardening
• Infrastructure-as-code with Terraform and Helm; policy-as-code guardrails (OPA/Kyverno/Checkov) with drift detection
• AWS cloud infrastructure: EKS clusters, IAM least privilege, VPC/PrivateLink networking, KMS/Secrets Manager, ECR, S3, and centralized logging/monitoring
• Platform tooling to streamline deployment, observability, and developer workflows, enabling self-service with secure defaults
• Reliability engineering: SLOs/SLIs, incident response, capacity planning, and performance optimization throughout the stack
• Software supply chain practices: artifact signing, registry governance and vulnerability management
• QA and testing infrastructure: static analysis and code quality gate enforcement in CI pipelines, automated end-to-end and browser-based regression test suites, ephemeral test environments for PR-based validation, and pre-merge quality checks
• Automation and tooling in Python or Go to improve infrastructure operations and integrate telemetry with observability platforms

What You’ll Need to Succeed

• Expertise in DevOps, SRE, or Platform Engineering in large scale cloud environments
• Expertise in deploying to cloud environments (AWS, GCP, etc) using infrastructure-as-code (Terraform, Helm) and containerization
• Deep experience with CI/CD systems (GitHub Actions, GitLab CI, or Jenkins) and GitOps practices
• Strong proficiency in Python/scripting languages for automation and tooling
• Strong understanding of Kubernetes operations: deployments, networking, storage, observability, and troubleshooting

Bonus Points For

• Experience with GitOps tools (ArgoCD, Flux)
• SRE practices: observability platforms, chaos engineering, incident management
• Securing ML/AI pipelines (model registries, training clusters, inference gateways)
• Experience in regulated/audit-heavy environments (SOC 2, ISO 27001)
• Supply chain security maturity: SBOMs, image signing, SLSA concepts
• Administering static analysis platforms (custom quality profiles, security hotspot triage) and scaling browser-based test suites across parallel CI environments
• Prior startup/high-growth experience balancing velocity with reliability

Your Impact at LILA

What You'll Be Building

• Developing, wrapping, and adapting domain-specific tools for molecular modeling, data analysis, process optimization, molecular modeling, and more
• Deploying custom, agentic scientific workflows that integrate with industrial instruments (PLCs, control software) and data systems (ERP, MES, SCADA)
• Building real-time data pipelines that transform messy scientific data into actionable insights
• Creating intuitive interfaces that make complex AI/ML capabilities accessible to scientists
• Architecting solutions that scale from proof-of-concept to enterprise-wide deployment

What You'll Need to Succeed

• Background in biology, molecular science, or related scientific field
• Outstanding communication skills—you'll interface directly with both executives and the manufacturing line
• Experience with data engineering, ETL pipelines, and working with complex/messy datasets
• Strong full-stack development skills with the ability to work across backend, frontend, and data layers
• Exceptional problem-solving abilities and comfort with ambiguous requirements
• Knack for product discovery and ability to pass requirements back to the platform
• Willingness to travel to customer sites for frequent and extended deployments

Bonus Points For

• Previous customer-facing or consulting experience
• Depth in controls engineering and machine learning
• Experience with scientific computing libraries (NumPy, Pandas, SciPy, RDKit)
• Familiarity with ML/AI implementation and deployment
• Familiarity with modern web technologies (TypeScript, React)

What Makes a Great FDE

• Customer Obsessed: You're energized by understanding customer problems deeply and seeing your solutions drive real impact
• Fast Learner: You quickly grasp new scientific domains and translate complex requirements into elegant solutions
• Autonomous: You thrive with minimal supervision and take extreme ownership of customer success
• Collaborative: You work seamlessly with both technical and non-technical stakeholders
• Technically Versatile: You're comfortable jumping between technologies and picking up new tools as needed

Ready to Transform Scientific Discovery?

If you're excited about embedding with world-class scientists, shipping impactful solutions at startup speed, and building the future of scientific software, we want to hear from you. Join us in our mission to accelerate breakthrough discoveries that will define the next century of human progress.

Your Impact at LILA

Your Impact at LILA

Lila Sciences is seeking an Industrial Engineer to own and architect the physical layout of our AI Science Factories. In this role, you will be responsible for integrating lab instrumentation and robotics into a cohesive, efficient factory design. You will collaborate closely with hardware engineering, science teams, robotics, facilities, and operations to create layouts that are safe, scalable, and engineered for high-throughput autonomous research. This role is central to translating complex cross-functional requirements into a factory environment that enables Lila’s next-generation scientific capabilities. 

What You'll Be Building

• Own the end-to-end factory layout, including spatial planning, adjacency mapping, and utility requirements
• Integrate lab instrumentation layouts from diverse scientific and engineering domains into a unified, high-performance factory design.
• Collaborate with hardware, robotics, science, automation, safety, and facilities teams to incorporate requirements for utilities, safety, accessibility, maintenance, and environmental controls.
• Build and maintain accurate 2D and 3D CAD models of the full factory layout; drive version control and change management for layout updates.
• Work with robotic teams to run simulations and scenario analyses to assess throughput, operational efficiency, and bottlenecks.
• Partner with construction, facilities, and external vendors to ensure physical buildouts reflect the intended design and can scale with future demand.
• Develop standards, documentation, and layout guidelines for new lab instrumentation and factory expansions.

What You’ll Need to Succeed

• BS/MS degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, Systems Engineering, or related field.
• Experience designing factory, lab, or production layouts in high-complexity environments.
• Proficiency with CAD tools (e.g., AutoCAD, REVIT, SolidWorks).
• Strong understanding of workflow optimization, material flow, ergonomics, and spatial systems.
• Ability to collaborate across multidisciplinary engineering and scientific teams.
• Clear communication and documentation skills.

Bonus Points For

• Experience with robotic or automated systems and their physical integration into facilities.
• Familiarity with lab/industrial utility requirements (HVAC, gases, power, chemicals, drainage).
• Experience in R&D facilities, pilot plants, or advanced automation environments.

Your Impact at LILA

Lila Sciences is seeking an experienced Staff/Principal Mechanical Engineer to join our Hardware & Controls Engineering team. The specific title (Staff or Principal) will be determined based on experience level and expertise. As a key technical leader, you'll leverage your deep expertise to design and engineer components for workcell robotics, mechanical systems, and automation across life science and physical science domains. You'll collaborate with experimental scientists, AI/ML scientists, software/controls engineers, and process/automation engineers to lead complex projects, guide multidisciplinary teams, and deliver state-of-the-art automation solutions.

What You'll Be Building

• Lead the design and implementation of bench-scale robotics and mechanical systems for sophisticated automation in life science and physical science applications.
• Design innovative pneumatic, electro-mechanical, and optical solutions for advanced robotic workcells used in biological research and materials discovery.
• Lead and mentor teams in advanced CAD design and analysis using SolidWorks, optimizing systems for high-throughput workflows.
• Direct the creation and validation of designs through 3D printing, laser cutting, and other rapid prototyping methods.
• Lead cross-functional collaborations to integrate mechanical designs with software and controls across scientific domains.
• Develop strategies to transform manual processes into automated workflows while maintaining rigorous safety and quality standards.
• Coordinate with external vendors for custom component development and system integration.

What You’ll Need to Succeed

• Bachelor's or Master's degree in Mechanical Engineering, Robotics, or a related field.
• 8+ years of mechanical engineering experience with proven expertise in life science and physical science automation (title will be determined based on experience & expertise).
• Extensive proficiency in SolidWorks CAD design, GD&T, and DFMA
• Extensive proficiency working with & implementing requirement management systems, product lifecycle management, & product data management.
• Demonstrated leadership in managing complex projects and mentoring engineering teams.

Bonus Points For

• Deep experience in automation across scientific domains, with expertise in SolidWorks CAD design, PDM Vault management, rapid prototyping, and mechanical testing.
• Expert knowledge of motion control and mechatronic systems for diverse scientific applications.
• Strong background in automated systems and robotic integration for biological research, and materials science in the biotech sector.
• Demonstrated strong attention to detail in documentation, adherence to standards, and equipment management.
• Experience in automotive manufacturing, battery manufacturing, semiconductor manufacturing, and packaging with discrete material movement.

Your Impact at LILA

We're building a talent-dense, high-agency AI safety team at Lila that will engage all core teams within the organization (science, model training, lab integration, etc.), to prepare for risks from scientific superintelligence. The initial focus of this team will be to build and implement a bespoke safety strategy for Lila, tailored to its specific goals and deployment strategies. This will involve technical safety strategy development, broader ecosystem engagement, safety-focused evaluations, safety systems to mitigate risks, and a safety research agenda that explores longer-term needs such as oversight of superintelligent scientific systems.

We’re seeking a Technical Mitigations Lead, to lead the build out of safety systems at Lila for the safe deployment of our scientific capabilities to the world. Given the novelty of Lila’s workflows, integrating frontier-class language models with narrow scientific tools and lab-based automation, this role will require the design and deployment of technical safeguards beyond the current state-of-the-art.

We expect the person in this role to start off the initial mitigations build-out, and then slowly build a team to support this function.

What You'll Be Building

• Set the build and research strategy for Lila’s safety systems, across scientific data analysis and generation pipelines, safety post-training, refusal classifiers, automated safety-testing / red-teaming systems, and monitoring systems.
• Conduct initial safeguards experimentation and buildout for Lila’s specific scientific needs, and subsequently lead a small team to execute on the build and research agenda
• Lead safety systems research to iterate Lila’s systems beyond the state of the art, given the needs of technical safeguards for both in silico and lab-based scientific workflows.
• Partner closely with
  • Other members of the safety team, such as domain-specific experts (bio, chem, materials) and eval buildout teams, and
  • Non-safety teams, such as core AI, lab automation, and product teams,
• Contributing to broader, high-quality research efforts - as and when needed - for scientific capability evaluation and restriction.
• Contribute to external communications on Lila’s safety efforts.

What You’ll Need to Succeed

• Track record of building safety systems, classifiers, or conducting post-training for frontier-class problems - science, reasoning, programming, etc.
• 4-6+ years working in technically engineering with ML systems.
• Experience building scalable, production systems, not just prototypes.
• Demonstrated ability to set research directions for open problems in post-training, classifier buildouts, and other relevant systems.
• Ability to communicate complex technical concepts and concerns to non-expert audiences effectively.

Bonus Points For

• Experience in developing or applying ML to biological or physical sciences
• Experience in building safeguards for scientific risks for frontier models / narrow scientific tools.
• Demonstrated ability to lead teams towards engineering goals

Your Impact at LILA

We are seeking a Staff Software Engineer - AI Lab Execution System to join our software group and help build the next generation AI-driven scientific platform. In this role, you will design, build, and optimize intelligent, data-driven applications front-end. You will focus on developing UI, services, high-performance APIs, databases, and ensuring the reliability of services that integrate advanced AI frameworks with complex scientific analytics and laboratory workflows.

You’ll work closely with ML researchers, platform engineers, and scientists to develop systems that can handle diverse workloads and scale seamlessly, including structured SQL database, data lake houses, and vector databases. This is an opportunity to apply your deep front-end and backend expertise to a cutting-edge AI platform with real scientific impact. If you are passionate about building performant, and elegant systems, we would love to hear from you!

What You'll Be Building

• Design & Build UI and APIs: Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications.
• Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.
• Application Development: Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability.
• Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.
• Cloud & Infrastructure: Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.
• Cross-Functional Collaboration: Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.

What You’ll Need to Succeed

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 4-6 years of engineering experience building and deploying large-scale systems in production. You must be strong in either front-end or backend or data modeling and design.
• Typescript, React and Python Expertise: Strong experience with React and Typescript is required.
• Expertise in Databases: Strong experience with SQL, NoSQL, and emerging database technologies (e.g., Vector DBs); proven track record in schema design, indexing, and query optimization.
• API Development: Proven ability to design and scale RESTful or GraphQL APIs with a focus on reliability and performance.
• Hands on experience using AI coding assistants to drive productivity is required.
• Scientific or Data-Intensive Domains: Experience working with life sciences, material sciences, or other research-heavy fields.
• Communication & Collaboration: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.
• Problem Solving: Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.

Bonus Points For

• Cloud & DevOps Knowledge: Hands-on experience with AWS, GCP, or Azure; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).
• Orchestration Systems: Experience with orchestration tools (Flyte, Temporal, Airflow, Prefect, etc.).

About the Role

Accelerating clinical research is one of the defining challenges in healthcare. Promising therapies exist that patients can't access because the operational infrastructure to run clinical trials efficiently doesn't exist yet. We're building it. That means designing technology systems that bring order to a fragmented landscape of clinical data sources, automating the operational work that slows trials down, and turning real-world clinical data into a foundation for predictive intelligence.

We're building a uniquely valuable data asset: real-world patient and research data flowing across 80+ trial sites, spanning dozens of EHRs and clinical systems, focused on patient populations that are chronically underserved by existing clinical research infrastructure. Your job is to build the pipelines, data models, and AI infrastructure that make this asset real, from ingestion and normalization through to the systems that power predictions on top of it. You'll own data quality and observability as foundational engineering problems. You'll also have a direct hand in shaping how this data drives our AI strategy, what we model, what we predict, and what becomes possible.

This is an opportunity for someone who wants to be part of a small, fast-moving engineering team at a formative stage. You'll shape what gets built, how decisions get made, and what the team becomes.

Responsibilities

• Own the data layer and architecture:  the models, schemas, and infrastructure decisions that everything downstream depends on
• Build and operate the pipelines and transformations that move data from ingestion through normalization, enrichment, and into the formats that support analytics, ML training, and production model serving
• Own data quality and observability: build the systems that make data issues visible and correctable before they compound
• Partner with ML and engineering teams to identify what's modelable, define training data requirements, and build the data foundations for new predictive capabilities
• Define how clinical and operational data is governed across the system
• Evaluate and select the tools and technologies that make up the data stack, with a clear point of view on build vs. buy
• Help shape the engineering culture of a small, growing team: how technical decisions get made, how problems get debated, what rigor looks like in practice

What We’re Looking For

Required Qualifications

• 10+ years of experience in data engineering or related roles, with significant time spent building data systems
• Experience with healthcare data strongly preferred (HL7, FHIR, claims, EHR extracts) or other complex, regulated data domains
• Deep experience modeling and integrating data from multiple heterogeneous sources with inconsistent schemas and quality
• Experience applying AI and LLMs to data engineering problems: extraction, normalization, classification, entity resolution
• Strong understanding of how data infrastructure supports ML workflows from feature engineering to training data pipelines to model serving
• Fluent in SQL and at least one modern programming language (Python, Java, Scala, Go), with experience across modern data infrastructure - distributed processing, streaming, cloud-native storage, orchestration, and transformation frameworks
• Have built data systems from early stages, making foundational decisions with incomplete information
• Naturally raise the quality of the engineering around you through code review, design guidance, and honest technical conversation

Preferred Qualifications

• Experience building data infrastructure that directly supports ML model training and evaluation
• Familiarity with clinical trial operations, EDC systems, or life sciences data
• SOC 2, HIPAA or similar compliance experience baked into engineering practice
• A track record of building or improving data systems that others had given up on making reliable

About the Role

Accelerating clinical research is one of the defining challenges in healthcare. Promising therapies exist that patients can't access because the operational infrastructure to run clinical trials efficiently doesn't exist yet. We're building it. That means designing technology systems that bring order to a fragmented landscape of clinical data sources, automating the operational work that slows trials down, and turning real-world clinical data into a foundation for predictive intelligence.

We're looking for a Staff Software Engineer to own the design and implementation of the core systems that make this possible. This means building robust integrations across a complex, fragmented landscape of EHRs, CTMS platforms, and clinical data sources, each with its own data models, access patterns, and operational constraints. It also means building the data infrastructure that powers our predictive capabilities: the pipelines, feature stores, and training infrastructure that allow us to move from raw clinical data to models that meaningfully improve trial execution. This is a generalist role for someone who thinks in systems. You'll move between architecture and implementation, between integration engineering and ML infrastructure, between defining technical strategy and writing the code that proves it out. The problems are genuinely hard, largely unsolved, and what you build will matter.

This is an opportunity for someone who wants to be a part of a small, fast moving engineering team at a formative stage. You'll shape what gets built, how decisions get made, and what the team becomes.

Responsibilities

• Own the technical architecture for our core systems and build the foundational abstractions and interfaces that everything else is built on top of
• Build reliable integrations with dozens of external clinical data systems (EHRs, CTMS, eSource, labs), treating this as a hard systems design problem, not just an ingestion problem
• Build and evolve the infrastructure that supports model training and predictive capabilities, from ingestion through feature engineering and serving
• Move fast by prototyping to drive experimentation; derisk ideas quickly to keep the team building what works
• Evaluate and choose the technologies we build on: make build vs. buy decisions, select vendors, and shape our long-term infrastructure strategy
• Make the key technical tradeoffs between speed and durability, between generality and shipping
• Work across product, clinical operations, and data science to make sure you're solving the right problems, not just the interesting ones
• Help shape the engineering culture of a small, growing team: how technical decisions get made, how problems get debated, what rigor looks like in practice

What We’re Looking For

Required Qualifications

• Have 10+ years of software engineering experience, with significant time spent designing and building systems not just features
• Experience with healthcare data systems (HL7, FHIR, EHR/EMR integrations) or other highly regulated data environments
• Have 2+ years experience working in a high-growth startup environment
• Have deep experience with system integration, particularly across unreliable or heterogeneous external data sources
• Can think through and explain the full picture of a complex system while still being effective at the implementation level
• Experience using AI tooling and frameworks as part of your engineering workflow
• Have built data pipelines and infrastructure that support analytical or ML workloads in production
• Strong across the backend stack (Python, SQL, cloud infrastructure) and can pick up new tools and systems quickly
• Have built systems from early stages, making foundational decisions with incomplete information, not just extending established infrastructure
• Naturally raise the quality of the engineering around you through code review, architecture guidance, and honest technical conversation

Preferred Qualifications

• Experience building ML training infrastructure or feature platforms
• Familiarity with clinical operations, systems, or life sciences data
• SOC 2, HIPAA or similar compliance experience baked into engineering practice
• A track record of building systems that had to work correctly under real operational constraints, scale and complexity

About Dimagi

Dimagi is an award-winning social enterprise and a certified B-corp and Benefit Corporation. We build software solutions and provide technology consulting services to improve the quality of essential services for underserved populations. Our open-source technology platform, CommCare, is the world’s most widely-used and researched mobile data collection platform for frontline workers. Our choice to be a certified B-Corp and to legally incorporate as a Benefit Corporation sends a clear signal to our partners, our team members, and our communities that we not only believe but also take action in using business as a force for good. This approach combines our passion and commitment to tackle complex health and social inequities and work towards a brighter future for all.

About the Position

Dimagi is looking for a Data Engineer II to join our US Solutions Division. This position will be affiliated with our Cambridge, MA office but is open to remote employment within the United States. This is a 12-month fixed-term position with the possibility of renewal based on business requirements and mutual interest. 

The Data Engineer II will be part of Dimagi’s US Solutions Division Data & Analytics team, a group of engineers and data specialists responsible for building, maintaining, and evolving Dimagi’s Data Platform in support of current and future project work. The primary technologies used by the current data platform are Snowflake, Tableau, and various AWS cloud tools. In this role, you will contribute hands-on to the design, implementation, and operation of data pipelines, warehouse transformations, data visualizations, and supporting infrastructure, while working closely with technical leadership to ensure platform reliability, scalability, and alignment with business needs. The data systems you help build and maintain will directly support public health and human services programs, enabling frontline teams and government partners to deliver care and services more effectively.

This position is well suited for someone who enjoys hands-on technical work in a small, collaborative environment. As a member of a lean team, you will be expected to work across functional areas, adapt quickly to new problem spaces, and contribute meaningfully to data systems that support real-world service delivery and decision-making.  This role assumes comfort using AI-assisted tools to support analysis, documentation, troubleshooting, and learning in a complex technical environment.

Responsibilities 

• Contribute to the technical integrity and evolution of the Data Platform tech stack, working closely with other Data Engineers, the Director of Technology, and the USS Tech Lead.
• Design and implement core features and enhancements within the Data Platform, including contributing to technical specifications, conducting targeted technical research, and translating requirements into production-ready solutions.
• Responsible for executing and maintaining DevOps workflows supporting the Data Platform, including performance monitoring, platform upgrades, deployment frameworks, and operational improvements, with guidance and mentorship from more senior Data Engineers as needed.
• Use AI-assisted tools thoughtfully to accelerate development, debugging, documentation, and operational analysis, while understanding and validating outputs to ensure correctness, reliability, and security.
• Build and maintain robust data extraction, loading, and transformation processes for both Dimagi managed (i.e. CommCare) and external data sources, enabling efficient, reliable data pipelines and their long-term development and operation using both SQL and Python scripting.
• Design and develop data warehouse transformations, using SQL-based approaches and supplementary tools such as dbt.
• Collaborate with internal teams and external partners on the design and implementation of enterprise data architectures based on industry standards and partner specific analytics needs.
• Conduct ad hoc analyses and support the development of business intelligence outputs, including dashboards and visualizations using Tableau and other tools.

The ideal candidate will have some or all of the following experience:

• 2–5 years of experience in data engineering or a similar technical role, with a proven track record of designing and evolving scalable data systems.
• Experience building maintainable, long-term technical solutions using software development best practices (version control, testing, and iterative development).
• Hands-on expertise in building and managing production-grade pipelines using ETL/ELT tools (e.g., dbt, Airflow, Prefect, Fivetran, or Talend).
• Strong proficiency with cloud-based data platforms (AWS, Snowflake, etc.) and a diverse range of data ingestion, processing, and storage technologies.
• Expert-level SQL for complex data engineering and analysis, paired with proficiency in Python and associated data-oriented toolkits.
• A deep understanding of dimensional modeling concepts ((e.g. OLAP cubes, star schemas, kimball architecture vs. alternatives like inmon)
• Proven ability to partner with technical stakeholders to clarify requirements and deliver effective, end-to-end data solutions.
• Proficiency in using AI-assisted tools for code generation, debugging, and optimization, with the ability to rapidly adapt to new schemas and tools in a fast-paced environment.
• Comfortable working "in the trenches" of production systems to test, iterate, and optimize operational workflows.
• Eligible to work in the United States

Bonus Experience

• Experience in enterprise data architecture, service-oriented frameworks, data integration and harmonization, data strategy and governance, high-performing data lakes, data operations and delivery and data ingestion frameworks supporting batch/real-time
• Experience writing and maintaining production ready code in a high level programming language (Python, Java, C++ etc.)
• Experience with data analysis software (Jupyter Notebooks, R, etc.) and data visualization tools (Tableau, Power BI, Superset, etc.). 
• Healthcare experience: either in healthcare data or public health data collection methodologies and workflows
• Experience and comfort working independently with partners for requirements gathering and solution development in an agile software development environment, using JIRA and Asana to manage tasks between technical and client-facing teams

Benefits and Compensation

We aim to make a difference, not just as a company but also as an employer! We are transparent about salaries at all levels of the organization and have a standard, global pay scale for all positions. Our salaries are cost of living adjusted and non-negotiable. The estimated salary range for this position is 82,810 USD - 130,319 USD annually. Your final salary within the range will be dependent on where you are geographically based and might fall outside of this estimated range.

However, the benefits we offer are geared towards having a strong impact on our staff’s well-being. A few of our key benefits are outlined below:

• 100% employer-sponsored medical insurance paired with a generous Health Reimbursement Account (HRA) fund
• Access to voluntary dental and vision insurance plans
• A 401K plan with up to a 4% employer match
• Employee stock option plan
• 30 days paid time off inclusive of holidays
• Unlimited sick time and excellent parental leave policy
• Access to a flex-time policy that allows employees to work based on a flexible work schedule
• Access to an Employee Assistance Program (EAP) through ComPsych

Dimagi is an Equal Opportunity Employer. We celebrate and support diversity and are committed to providing a work environment that is inclusive and free of discrimination and harassment. All employment decisions are based on individual qualifications without regard to race, color, religion, age, sex, sexual orientation, ethnicity, gender identity and expression, national origin, family or parental status, veteran or disability status.

About the Role

• Serve as the lead electrical engineer responsible for the design, development, and integration of electronics for Nanopath’s diagnostic platform
• Own system-level electrical architecture, including PCB design, power management, signal integrity, and integration with embedded software and mechanical subsystems
• Design and develop circuits supporting motion control, fluid actuation, thermal management, and optical detection systems
• Lead bring-up, debugging, and validation of prototypes and production hardware
• Collaborate with cross-functional teams (software, mechanical, systems, assay) to define requirements and ensure seamless system integration
• Develop and maintain documentation in compliance with ISO 13485

Technical Qualifications

• Strong experience in analog and digital circuit design, including mixed-signal systems
• Strong experience with embedded systems and microcontroller-based designs
• Proficiency in PCB design tools and schematic capture/layout best practices
• Background in designing systems with precise thermal control, motor control, fluidic actuation, or optical detection
• Experience developing hardware for medical devices regulated to ISO 13485 and IEC 61010
• Experience supporting hardware verification, validation, and troubleshooting through all development phases
• Exposure to manufacturing processes, including PCB fabrication, assembly, and test

General Qualifications

• B.S. or M.S. electrical engineering or related technical discipline with at least 4 years of industry experience
• Ability to work on-site full-time in Cambridge, MA
• Excellent communication and presentation skills, highly organized with demonstrated curiosity, scientific rigor and creative problem-solving
• Proactive self-starter with eagerness to adapt to a fast-paced, dynamic startup environment
• Passion for technology translation and willingness to shape Nanopath’s future

The Lead Building Engineer leads and oversees the day-to-day operations and maintenance of building systems, ensuring efficient and safe building performance while supervising engineering staff and contractors.

Essential Duties and Responsibilities:

• Monitor the operating condition of all HVAC, plumbing, and electrical equipment.
• Coordinate preventive maintenance and emergency repairs for the building.
• Oversee service contractors while ensuring compliance with building standards.
• Supervise and mentor junior Engineers and Technicians; assist in setting staff performance goals and evaluating progress.
• Collaborate with tenants, contractors, and property managers to ensure reliable building operations and resolve tenant issues.
• As assigned, work with vendors to identify scopes of work and oversee compliance with contract terms and quality control.
• Conduct regular building inspections and proactively address deficiencies
• Manage preventive maintenance schedules and ensure they are executed effectively.
• Record equipment readings and ensure assigned building systems are operating according to standards.
• Follow company safety protocols and wear appropriate PPE; ensure compliance with OSHA, NEC, NFC, NFPA regulations; report safety hazards; participate in safety inspections; ensure all staff follow safety protocols and comply with building codes and regulations; oversee safety training and maintain compliance logs.
• Communicate verbally and in writing with teammates, leadership team, vendors, tenants, and client employees in a professional manner, keeping the appropriate customer(s) informed/updated as needed.
• Perform other duties as assigned.

Qualifications:

• HS Diploma or GED required
• Five to seven years of industry-related experience or commensurate certification/trade experience
• At least one year of formal or informal supervisory, training, and/or mentoring experience
• CFC Certification preferred or willingness to obtain as requested; possess engineering and trade licenses required according to local, state, or national requirements
• In-depth knowledge of Microsoft Office products, energy management software systems, CMMS, and other building operational platforms
• Familiar with fire/life safety equipment/procedures
• Proven track record of delivering excellent internal and external customer service; ability to successfully interact/communicate with tenants/vendors/contractors as well as teammates and leadership team
• Familiarity with blueprints and code requirements
• Ability to work after hours, weekends, holidays, and during emergency situations as necessary to meet the needs of the client
• Possess competent knowledge of use and care of tools
• Ability to read and write English in order to understand manuals and procedures, and to write reports.
• Ability to demonstrate in-depth knowledge of building automation systems (BAS), HVAC, and electrical controls with skills in troubleshooting complex mechanical and electrical systems

Physical Requirements:

Ability to stand, walk, climb ladders, and lift up to 50 pounds; perform physically demanding tasks such as stooping, crouching, and kneeling.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

This position is 100% in-office. The role requires working in office during standard business hours. Remote work or telecommuting is not an option for this position.

#IND123

The Lead Building Engineer leads and oversees the day-to-day operations and maintenance of building systems, ensuring efficient and safe building performance while supervising engineering staff and contractors.

Essential Duties and Responsibilities:

• Monitor the operating condition of all HVAC, plumbing, and electrical equipment.
• Coordinate preventive maintenance and emergency repairs for the building.
• Oversee service contractors while ensuring compliance with building standards.
• Supervise and mentor junior Engineers and Technicians; assist in setting staff performance goals and evaluating progress.
• Collaborate with tenants, contractors, and property managers to ensure reliable building operations and resolve tenant issues.
• As assigned, work with vendors to identify scopes of work and oversee compliance with contract terms and quality control.
• Conduct regular building inspections and proactively address deficiencies
• Manage preventive maintenance schedules and ensure they are executed effectively.
• Record equipment readings and ensure assigned building systems are operating according to standards.
• Follow company safety protocols and wear appropriate PPE; ensure compliance with OSHA, NEC, NFC, NFPA regulations; report safety hazards; participate in safety inspections; ensure all staff follow safety protocols and comply with building codes and regulations; oversee safety training and maintain compliance logs.
• Communicate verbally and in writing with teammates, leadership team, vendors, tenants, and client employees in a professional manner, keeping the appropriate customer(s) informed/updated as needed.
• Perform other duties as assigned.

Qualifications:

• HS Diploma or GED required
• Five to seven years of industry-related experience or commensurate certification/trade experience
• At least one year of formal or informal supervisory, training, and/or mentoring experience
• CFC Certification preferred or willingness to obtain as requested; possess engineering and trade licenses required according to local, state, or national requirements
• In-depth knowledge of Microsoft Office products, energy management software systems, CMMS, and other building operational platforms
• Familiar with fire/life safety equipment/procedures
• Proven track record of delivering excellent internal and external customer service; ability to successfully interact/communicate with tenants/vendors/contractors as well as teammates and leadership team
• Familiarity with blueprints and code requirements
• Ability to work after hours, weekends, holidays, and during emergency situations as necessary to meet the needs of the client
• Possess competent knowledge of use and care of tools
• Ability to read and write English in order to understand manuals and procedures, and to write reports.
• Ability to demonstrate in-depth knowledge of building automation systems (BAS), HVAC, and electrical controls with skills in troubleshooting complex mechanical and electrical systems

Physical Requirements:

Ability to stand, walk, climb ladders, and lift up to 50 pounds; perform physically demanding tasks such as stooping, crouching, and kneeling.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

This position is 100% in-office. The role requires working in office during standard business hours. Remote work or telecommuting is not an option for this position.

#IND123