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.

The Person 

Graphcore’s experienced, skilled, and motivated engineering team is heavily involved in shaping the future of AI. A successful candidate will exhibit exceptional knowledge in Design for Testability (DFT) and will have a strong technical background and experience in DFT methodologies, complemented by a robust, self-motivated work ethic. The ideal candidate should also have a focus on quality and demonstrate a good understanding of the importance of production test on the success of a product. Some hands-on experience in one or more of the following areas is essential: RTL design, simulations and debugging, synthesis, STA.  

The Role: 

We are expanding and looking for an experienced DFT engineers to join the Silicon team. As a part of our team, you will have the opportunity to work on next-generation AI designs targeted for data centers applications. 

Responsibilities: 

• Keep up with the latest industry trends in DFT domain and help adopt the latest DFT techniques and methodologies 

• Work closely with design, verification, physical design and product engineering teams to integrate DFT requirements into the overall design process 

• Define and implement DFT architecture and features for next-generation AI designs and support their verification effort 

• Develop efficient DFT flows and methodology compatible with silicon design flows 

• Work with 3rd party IPs to integrate the provided design into the DFT infrastructure 

• Generate structural test vectors, analyze and improve test coverage 

• Work with the product and test engineering teams to ensure successful silicon bring-up and help identify any silicon failures to enhance yield learning and improvement 

Requirements: 

• Very good understanding of DFT components like JTAG (IEEE 1149.x), IJTAG (IEEE P1687), Core Test (IEEE P1500), SSN (Streaming Scan Network), Test Compression, OCC etc. 

• Experience on developing DFT specifications and driving the implementation of the DFT features 

• Experience in MBIST and BISR implementation and verification is desired 

• Solid understanding of design verification methodologies for validating the DFT features using simulation in pre-silicon designs 

• Exposure to STA constraints development and analysis for DFT modes and SDF simulations would be a plus 

• Experience in Scan based testing and industry standard ATPG tools 

• Knowledge of ATPG pattern verification and gate-level simulation flows using Synopsys VCS and Verdi or other EDA tools 

• Very good knowledge of Digital Integrated Circuits and Systems 

• Hands-on experience with Verilog RTL coding and familiarity with System Verilog   

• Strong scripting and debugging skills using programming languages like Python, TCL, Perl, Shell etc. 

• Exposure to silicon bring-up, post-silicon testing and tester pattern debugging 

• Strong problem-solving skills across various levels of design hierarchies 

• Great team working and communication skills 

Academic Credentials 

• Bachelors or Masters or PhD in Computer engineering/Electrical engineering/Electronics Engineering

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  

We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know. 

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

We are looking for high-quality silicon physical design engineers to complement our existing exceptional team. We have a range of roles available with focus on those with extensive ranges of skills and experience although exceptional candidates with less experience will be considered. We want people who work collaboratively and proactively within a team focusing on collectively achieving our goals and creating the right engineering solutions. Good communication is essential, as is the ability to adapt and learn – we value the right characteristics more than specific experience.

For the successful candidate we offer an open, honest and collaborative environment working on leading-edge designs at the most advanced nodes. Our engineers are not siloed, and they are trusted and encouraged to take ownership of their designs and problem solutions. You will become part of a team that looks for improvements to everything we do: our designs, our flows, our methodologies, our infrastructure.

The Team

The physical design team sits within the wider silicon design team which includes RTL, verification and DFT and with whom we collaborate extensively. Our work additionally involves strong links with architecture, packaging and product engineering. We are responsible for working with those teams to create high-quality RTL and then to build the final chip layout (e.g. GDSII) ensuring a signoff-quality design is delivered to the Foundry (e.g. TSMC).

Responsibilities and Duties

Applicants will be expected to contribute technically to the development of Graphcore's next generation of AI superchips, focusing on achieving robust, high-performance and power-efficient designs in leading-edge process technologies while meeting ambitious development schedules. Contributions are expected to span multiple areas and involve:

• using state-of-the-art EDA tools and in-house Graphcore flows to deliver final designs that are of sign-off quality
• enhancing existing flows and in-house tools/APIs to support new features and/or methodologies
• analysis and/or debugging of complex engineering problems leading to workable solutions
• developing an understanding of emerging technical issues and applying that knowledge to optimise in-house flows and methodologies

Candidates will be expected to work closely both with other teams within Graphcore and with 3rd party support engineers/contractors, ensuring good communication between all parties, and to contribute meaningfully to the overall efficiency and success of the Physical Team.

Candidate Profile

Essential Skills and Experience:

• A Degree in Electronic/Electrical Engineering, Computer Science or related subject
• Be highly motivated, a self-starter, and a team player
• Enjoy taking responsibility and improving skills and knowledge
• Excellent problem-solving skills for debugging issues seen and finding root causes
• Ability to program/script (required to solve design issues, typically in Tcl and Python)
• Experience in 7nm or smaller technologies
• A good breadth of experience with physical design flows including: Floorplanning/Budgeting, Synthesis, Place and Route, Clock CTS, Timing Analysis, Logical Equivalence, Physical Verification (DRC/LVS/ERC)

Desirable Skills and Experience:

• In depth expertise in one or more aspects of physical design flows
• Structuring of builds to maximise PPA
• Silicon transistor knowledge including std cell libraries and/or memories
• 2D and 3D design (CoWoS, UCIe etc.)
• High speed, high power and/or full reticle chip design
• Ethernet, PCIe, LPDDR, HBM interfaces
• Power integrity and optimization
• 2nm or 3nm technologies
• Chip finishing (pad rings, chip level LVS/DRC/ERC)
• Design for test
• Team management
• Project Planning

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

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 

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

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 a talented Robotics Software Engineer to join our team. The ideal candidate will have a strong background in embedded systems, navigation algorithms, and autonomy. You will be responsible for architecting systems, implementing custom algorithms, and integrating novel control systems into our aerial vehicles. This role will involve developing and debugging software, configuring systems for flight tests, and supporting the end-to-end development of prototype vehicles. A passion for innovation and the ability to bring novel Unmanned Aerial Systems (UAS) from concept to flight is essential.

Responsibilities:

• Architect systems with multiple microcontrollers, defining component roles and managing requirements.

• Implement custom navigation algorithms and autonomy logic in Rust and C++.

• Analyze vehicle flight logs and debug GNC and autonomy issues

• Develop and write LIDAR sensor drivers in C++ and Rust.

• Handle system configuration, ground station setup, and data management during local and remote flight tests.

• Develop control and path planning algorithms for aerial vehicles and integrate them into the PX4 ROS communications layer.

• Implement drivers for novel control actuation and integrate them into PX4 or other flight controllers.

• Incorporate flight models into the existing Python flight simulator and use the simulator for algorithm development.

• Develop Software-In-the-Loop (SWIL) and Hardware-In-the-Loop (HWIL) testing capabilities.

• Aid in system architecture, selection, and integration of flight controllers, electronics, and sensors.

• Support the development, integration, and testing of prototype vehicles.

• Write, test, and debug drivers such as CANopen actuators and beyond line-of-sight radios in C++ and Python.

• Demonstrate familiarity with low-level embedded programming concepts such as memory management, data structures, algorithms, and bit manipulation.

Requirements:

• U.S. Citizenship required and ability to obtain a U.S. Security Clearance

• Bachelor’s degree in Robotics, Electrical Engineering, Computer Engineering, Computer Science, Aerospace Engineering or a related field. Master’s degree preferred.

• Strong skills in C++, Rust, and Python.

• Experience in navigation algorithms (SLAM, path planning) and autonomy logic.

• Experience with low-level embedded programming and microcontrollers.

• Experience with PX4 or other flight controllers

• Skilled in system architecture, component definition, and integration of prototype vehicles.

• A passion for taking novel UAS from concept to flight!

As an Embedded Software Engineer at MORSE, you will be developing software to support Unmanned Aircraft Systems (UAS) R&D programs. In this role, you will be involved with all aspects of the engineering design cycle from concept through deployment.

Your responsibilities will include integrating novel algorithms with flight software to introduce new capabilities for autonomous aircraft, setting up and performing simulations to support integration efforts, and supporting flight tests to evaluate algorithm performance. You will play a critical role in flight testing by defining test objectives, configuring software on aircraft avionics, and operating ground stations to monitor and control aircraft in flight.

Working alongside experts in sensing and control technologies, you will help integrate cutting-edge capabilities into novel platforms and support testing in both lab and field environments. In this position, you are motivated to focus on the intersection of the user, software, and hardware to ensure that deployed autonomous systems can execute their mission successfully while exceeding the customer's expectations.

Responsibilities

• Develop embedded software for novel fixed wing and multi-rotor unmanned aerial vehicles

• Developing new software functionality for autonomous UAV flight by modifying PX4 autopilot with new software

• Integrating novel autonomy algorithms into UAV flight software, migrating from Python to C/C++ if necessary

• Updating and executing simulation software to test and evaluate novel algorithms

• Supporting the development of preflight planning tools in Python that interface with data and UI tools via web API

• Interface with technology SMEs to integration new algorithms and subsystems into vehicle platforms.

• Support flight tests of UAS and UAVs. Including setup, system checkouts, ground station operation, log retrieval and analysis, and debugging.

• Communicate design status, test results, and suggestions in a timely and efficient manner

Requirements

The ideal candidate will have a strong and diverse background with an emphasis on software development for embedded systems.  Prior experience working on multi-disciplinary projects that exist at the confluence of mechanical, electrical, systems, and software engineering is strongly desired.  Finally, the ideal candidate should be able to decompose complex problems into their constituent components, devise plans for executing each piece of the problem, and follow-through on solution development, test, and verification.

• BS or MS in Software Engineering, Computer Science, Electrical Engineering, or related field

• 5+ years of embedded software development and experience deploying embedded software

• Strong proficiency with C/C++, Python, and Rust 

• Familiarity with PX4, Ardupilot, or similar. Integration into commercial platforms and configuration for flight.

• Experience with RTOS and embedded communication protocols (UART, I2C, CAN, etc)

• Experience with control hardware setup. Examples include telemetry harness setup, radio configuration, power system installation and monitoring

• Strong debugging and troubleshooting skills

• Willingness and desire to travel for, and participate in, field tests up to 10% of each year

• US CITIZENSHIP REQUIRED and ability to obtain a U.S. Security Clearance

MORSE is looking for an Autonomy Software Engineer to research, develop and prototype novel autonomy software to enable pre-mission planning and operation of novel aircraft and other autonomous systems. MORSE is seeking an aeronautical, aerospace, mechanical, or electrical engineer in optimization, estimation theory, and/or guidance, navigation and control (GNC) algorithms. Responsibilities will include autonomy development from conceptualization, including the selection and evaluation of sensors, implementation, including software development, and evaluation, including data analysis. The role will involve developing and testing code in a simulation and HWIL environment as well as field tests of the implemented autonomy software. The ideal candidate will have a strong foundation in physics, math, statistics, and computer science, as well as experience handling electronic hardware and machine learning. The candidate will work with a multidisciplinary team in an agile environment to rapidly design, prototype and test autonomous systems.

Responsibilities:

• Research, develop, and prototype novel autonomy software and algorithms for autonomous systems

• Develop and evaluate autonomy software from conceptualization to implementation, including selection and evaluation of sensors, software development, and data analysis

• Design, develop, and test algorithms for autonomous systems, including sensor fusion, guidance, navigation, and control

• Develop and test code in simulation and Hardware-In-the-Loop (HWIL) environments, as well as participate in field tests of implemented autonomy software on vehicles and systems

• Collaborate with a multidisciplinary team in an agile environment to rapidly design, prototype, and test autonomous systems

Requirements:

• US CITIZENSHIP REQUIRED or the ability to obtain a U.S. Security Clearance.

• The candidate must have experience developing real-world solutions with computational constraints, measurement errors, and modeling uncertainty

• 5+ years of Autonomy, Guidance, Navigation and or Controls experience 

• Experience with developing both algorithms and the simulations for test and validation

• Expertise in positioning, navigation, and timing, particularly for aircraft

• The ideal candidate will have experience working on complex, multi-disciplinary R&D programs

• BS. or M.S. (preferred) in Aeronautical/Aerospace, or Electrical Engineering (Control or Signal Processing focus)  or equivalent degree/major

Desired Qualifications:

• Expertise in sensor fusion such as Kalman filtering and experience with multiple sensing modalities

• Experience with designing and integration of autonomy hardware (sensors, flight controllers)

• Experience with C++ and Python software languages and software design best practices.

• Experience with sensor modeling, simulation, and performance analysis

• Experience in ML model development and deployment using open-source tooling such as PyTorch and ONNX

• Ability to lead a small multi-disciplinary team is a plus

We're looking for an Electromechanical Systems Engineer who loves designing, building and flying aerial vehicles to join our team at MORSE Corp. This role will span aircraft design, autonomous vehicle integration and testing, sensor technology, and real-time embedded software. In this position, you will be involved in every aspect of integrating fixed wing aircraft—from mechanical build and electronics packaging to system integration and complete mechanical and electrical checkout. You will play an integral part in flight testing, building up and configuring novel autonomous UAVs, and supporting flight test events from start to finish. The ideal candidate will be comfortable loading and configuring autopilot software and excited to work hands-on across the entire development lifecycle, from initial assembly through operational flight testing.

RESPONSIBILITIES:

• Design, build, and flight test prototypes of unmanned aerial vehicles (UAV)

• Build up and integrate both hardware and electronic systems

• Apply problem-solving skills to rapidly prototype and test novel ideas

• Collaborate with cross-functional teams to develop and integrate hardware and software components

• Communicate effectively across technical and non-technical audiences

• Take ownership of projects from concept to delivery

REQUIREMENTS:

• US Citizenship and the ability to obtain a US security clearance

• BS. or M.S. (preferred) in Aeronautical/Aerospace, Mechanical Engineering or Electrical Engineering or equivalent degree/major

• Demonstrated experience applying first principles to solve complex problems

• Familiarity with SolidWorks, Altium, or other design tools

• Harness development: electrical component selection and fabrication to include crimping & soldering

• RC C2: familiarity with radio transceivers, power systems, and integration into a larger system

• Mechanical fabrication: laser cutting, wood working, basic composites, additive manufacturing

• Strong communication skills

• Self starter and planner

PREFERRED QUALIFICATIONS:

• Experience with unmanned aerial systems (fixed wing & VTOL platforms), flight controllers, power systems, sensors, navigation, communications, and R/C-based solutions

• Strong understanding of aircraft design, flight mechanics, and aircraft stability and control

• RC aircraft hobby & familiarity with commercial autopilots & peripheral sensors

• Experience with bench top and field experimental design to verify hardware design and performance requirements

• Familiarity with PX4, Ardupilot, or similar. Parameter configuration, firmware updating and management, log download and data archival.

We're seeking a highly skilled Electrical Engineer to join our team at MORSE, where you'll play a key role in designing, developing, prototyping, and testing innovative air vehicle systems. As an Electrical Engineer, you'll work on a wide range of domains, applying your expertise to create complex electrical hardware for novel systems.

Responsibilities:

• Design and develop electronic systems, from concept to deployment for R&D vehicle systems from concept to production

• Lead design and analysis tasks, collaborating with cross-functional teams to ensure seamless integration

• Work with avionics, embedded systems, RF communication, and power subsystems to develop and test complex systems

• Design and analyze analog and digital circuits, with experience in battery management systems a plus

• Develop fabrication and test procedures, troubleshoot complex systems, and support flight test operations

Requirements

• US Citizenship required and ability to obtain a U.S. Security Clearance

• B.S. degree in Electrical Engineering, advanced degree a plus

• 5+ years of engineering experience with R&D projects, 

• Familiarity with IPC or SAE standards a plus

• Familiarity and experience using CAN bus standard a plus

• Extensive experience in one or more areas: power systems, RF, embedded control

• Familiarity with PCB schematic capture and board bring-up process

• Demonstrated ability to trouble-shoot complex systems

• Flight test, small UAV, or UUV experience a plus, hands-on experience with lab equipment a plus

Your Impact at LILA

Lila is seeking a motivated SCADA Engineer to contribute to the design, development, and implementation of control systems for automated scientific equipment. This role involves applying core engineering principles to support PLC controls, robotics integration, troubleshooting systems, and collaborating within cross-functional teams to enhance laboratory automation.

What You'll Be Building

• Assist in designing, programming, and deploying control systems using PLC and SCADA technologies to optimize laboratory workflows.
• Support the integration and testing of advanced robotics and conveyance systems within existing automation frameworks.
• Assist in integrating 3rd party equipment and vendor software into SCADA and make custom HMIs to aid in user controls.
• Contribute to the design and implementation of safety systems to safely operate a mix of lab equipment and robotics.
• Collaborate with software teams to support the integration of control systems with broader IT/OT factory infrastructure.
• Create, update, and maintain engineering documentation, including P&ID diagrams, wiring schematics, control narratives, and instrument IO lists.
• Support multi-team automation projects by independently executing technical tasks, meeting milestones, and adhering to engineering best practices.
• Perform calibration, testing, troubleshooting, and validation of control systems to ensure they meet performance, accuracy, and safety standards.
• Work closely with subject matter experts (SMEs) and project teams to understand technical requirements and solve moderately complex hardware/software challenges.
• Identify recurring technical issues and implement improvements to enhance system reliability and operational efficiency.

What You’ll Need to Succeed

• 2–4 years of experience in designing, implementing, or maintaining control systems, preferably in automated manufacturing or laboratory environments.
• Solid understanding of PLCs, HMI, SCADA, and related automation software and hardware.
• Familiarity with industrial networking basics in OT deployments (e.g., IP addressing, basic routing).
• Experience reading and creating detailed engineering documents and schematics using tools like AutoCAD, SolidWorks Electrical, or similar.
• Hands-on experience or academic background in robotics integration and programming.
• Effective communication and collaborative skills for working within project teams and with internal stakeholders.
• Strong analytical and problem-solving skills, with the ability to independently execute solutions for well-defined technical issues.

Bonus Points For

• Ignition SCADA Core training and HMI design experience.
• Structured text programming experience in TwinCAT, Python, C++, etc.
• Familiarity with communication protocols like OPC-UA, MQTT, and REST APIs.
• Exposure to safety system design concepts and classifications like SIL or PL.
• Basic understanding of managed network switches, port addressing/IP subnetting, and DHCP services.
• Ability to troubleshoot basic traffic flows between OT networks and cloud instances.

Your Impact at LILA

Lila Sciences is seeking a highly skilled, hands-on Automated Systems Engineer to design, develop, and implement automation solutions across a broad range of laboratory workflows. Reporting to the Automated Systems Engineering Lead, this role is critical to building scalable, high-throughput automated workcells that translate scientific intent into reliable, real-world systems.

This role serves as a steward of scientific and cross-functional requirements—working closely with scientists, hardware, controls, and software teams to define scope, align interfaces, and drive projects from concept through deployment. The successful candidate will actively partner with scientific partners helping shape the technical direction of experimental automation in a fast-moving research environment.

What You'll Be Building

• Actively contribute to hands-on development, testing, and implementation of automated workflows in the lab.
• Develop scalable automated solutions for synthesis and characterization workflows, supporting a variety of material systems such as porous materials, catalysts, coatings, and advanced composites.
• Define and document standardized laboratory workflows, operating procedures, and system architectures to support reproducibility and scale.
• Lead and participate in equipment- and system-level FMEAs to improve robustness and operational safety.
• Assist in the troubleshooting and optimization of automated systems for throughput, reliability, and adaptability across diverse workflows.
• Design failure detection methods and maintain laboratory automation systems to ensure robust operations.

Project Innovation

• Translate scientific objectives into well-scoped technical requirements and automation architectures.
• Act as a connective tissue between science, hardware, controls, and software—ensuring interfaces are clear and solutions are cohesive.
• Explore and integrate emerging technologies, such machine vision, and advanced sensors, to enhance automation capabilities.
• Ensure alignment of automation solutions with safety, quality, and regulatory standards.

What You’ll Need to Succeed

• Strong hands-on experience developing and scaling automated workflows in laboratory or industrial settings.
• Understanding of Python programming, including API integration and error handling.
• Understanding of CAD design and rapid prototyping, including 3D printing.
• Hands-on experience with hardware systems, including electrical wiring, sensors, liquid/gas plumbing, and PID controllers.
• Strong critical thinking skills, attention to detail, and ability to work collaboratively in a dynamic environment.
• Excellent communication and interpersonal skills, with the ability to convey technical concepts clearly to diverse audiences.
• Familiarity with advanced experimental systems, including vacuum, laser, furnace, and electrochemical experimentation.
• Knowledge of machine vision applications and robotics control algorithms.
• Proven ability to integrate hardware and controls systems with automation workflows.
• Understanding of AI-driven decision-making in research automation.
• Prior experience leading technical teams in a fast-paced R&D environment.

Bonus Points For

Working at Lila Sciences, you would have access to advanced technology in the areas of:

• AI experimental design and simulation
• Automated custom instrumentation
• Generative molecular and material design

Your Impact at LILA

Lila Sciences is seeking a Mechatronics Engineer II to join our Advanced Engineering Team to design, develop, and optimize electromechanical systems. This role bridges hardware, software, electrical, and controls to deliver intuitive, high-performance automated solutions.

What You'll Be Building

• Write control software to coordinate sensors, actuators, and motion systems into cohesive automated solutions
• Develop HMI/GUI interfaces for operator interaction and system monitoring
• Prototype and build test jigs and fixtures to de-risk designs and optimize system performance
• Program and tune servo drives, actuators, and sensor feedback loops
• Create control algorithms and logic for automated equipment
• Collaborate with cross-functional engineering teams

What You’ll Need to Succeed

• Bachelor's degree in Mechatronics, Electrical, or Mechanical Engineering
• 3-5 years of relevant experience
• Experience with HMI development platforms
• Proficiency with version control systems, especially Git & Github.
• Proficiency with C/C++ and Python, or similar languages
• Experience with microcontrollers (STM-32, Arduino, Raspberry Pi)
• Experience with rapid prototyping techniques
• Experience specifying and integrating sensors, motors, drives
• Understanding of analog signal types (4-20mA, 0-10V) and discrete I/O
• Thrives in a hands-on prototype heavy environment
• Strong troubleshooting and debugging skills

Bonus Points For

• Understanding of machine states, control theory and PID tuning
• Experience or familiarity with PLC based systems
• Familiarity with industrial communication protocols (EtherNet/IP, RS-232, OPC/UA, MQTT)
• Experience or familiarity with CAD software (Solidworks, Creo, Siemens NX)
• Experience working directly with end-users to develop requirements

We are embarking on a transformative journey with DriveWell Atlas, a groundbreaking initiative to build a family of novel AIs on telematics data. As a Principal Machine Learning Engineer on the DriveWell Atlas team, you will be at the forefront of developing these next-generation AIs. You will lead innovative projects focused on designing, pre-training, fine-tuning, and deploying these AIs. Your work will directly contribute to enhancing our capabilities in risk assessment, driver engagement, and crash and claims processing. This role requires a deep understanding of modern AI methods, machine learning, physics-informed modeling, and experience with sensor data. We are not tweaking existing models for marginal gain. You will have an opportunity to build a first-of-its-kind LLM from petabyte-scale data. 

CMT is looking for a Principal Machine Learning Engineer, Foundation Models to help us change the world. CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide. We build AI to solve some of the most difficult challenges in mobility — understanding and reducing risk, detecting crashes, and getting people life-saving help. The problems are hard. The impact is real. No matter your role, your work will matter at CMT.

Responsibilities: 

• Use independent judgment and discretion to lead the design, pre-training, fine-tuning, and deployment of novel foundation models for vehicle telematics 
• Develop and implement novel algorithms for modeling both automotive physics and human driving behavior 
• Pioneer advanced self-supervised learning techniques, including the design and implementation of innovative tasks tailored to multi-modal telematics sensor data to learn rich representations of movement and driver behavior 
• Develop models robust to noise, missing data, and diverse operating conditions typical of real-world mobile sensor and IoT datasets 
• Build and manage scalable training and inference pipelines using tools like Ray, PyTorch DDP, Horovod, or similar frameworks 
• Integrate these AIs into production systems while ensuring high performance and reliability
• Optimize these AIs for efficient deployment on various platforms, including cloud and edge/mobile devices 
• Collaborate closely with engineering, product, and research teams to translate cutting-edge research into impactful products and features for the DriveWell Atlas platform 
• Mentor junior scientists and contribute to the broader AI/ML strategy at CMT 
• Stay abreast of the latest AI advancements, evaluating and adopting emerging technologies and methodologies relevant to telematics 
• Contribute to efforts in AI explainability and interpretability 
• Complete any tasks as they arise

Qualifications: 

• Bachelor’s degree or equivalent years of experience and/or certification in Artificial Intelligence, Computer Science, Electrical Engineering, Physics, Mathematics, Statistics, or a related field 
• 7+ years of professional experience in AI/ML 
• 3+ years of hands-on experience developing and deploying foundation models, with a strong portfolio in generative AI for sequential or spatio-temporal data 
• Strong, hands-on experience in building and training time-series transformer architectures for complex sensor fusion and behavioral modeling tasks is required 
• Deep expertise in designing pretraining tasks for self-supervised learning on noisy, real-world sensor data 
• Proficiency in Python and common data science libraries (e.g., Pandas, NumPy, scikit-learn)
• Extensive experience with deep learning frameworks such as PyTorch (preferred) or TensorFlow for large-scale model training and deployment 
• Solid understanding and practical experience with distributed training techniques and efficient training methodologies for large models 
• Experience building and maintaining large-scale data processing pipelines and machine learning infrastructure using tools like Spark, Airflow, Docker, and cloud platforms (e.g., AWS, GCP, Azure)
• Excellent problem-solving skills and the ability to translate complex business problems into tractable AI-based solutions 
• Strong verbal/written communication and collaboration skills, with the ability to effectively convey complex technical concepts to diverse audiences 
• Product-focused thinking with a proven ability to deliver impactful AI solutions

Nice to Haves: 

• PhD or Master's degree preferred 
• Experience with MLOps practices and tools for managing the lifecycle of machine learning models
• Publications in top-tier AI/ML conferences or journals 
• Familiarity with techniques for model interpretability and explainability (XAI) 
• Awareness of ethical AI principles, bias detection, and mitigation strategies in machine learning models, including experience with or understanding of model guardrails

Compensation and Benefits:

• Fair and competitive salary based on skills and experience, and annual performance bonus
• Equity may be awarded in the form of Restricted Stock Units (RSUs)
• Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave
• Unlimited Paid Time Off including vacation, sick days & public holidays
• Flexible scheduling and work from home policy depending on role and responsibilities

Base Salary Range

• The base salary range for this position is: $177,000 to $221,300. This range is specifically for Cambridge, MA

Additional Perks:

• Work on a mission with real impact: crashes prevented, injuries avoided, lives protected around the world
• Join an industry leader — 65 million drivers protected, powering 140+ programs across 25 countries
• Be part of the team inventing the future of mobility and road safety
• Move fast, own outcomes, do work that matters
• High ownership, small teams, and direct access to leadership — no layers between your work and its impact
• Unlimited PTO, flexible scheduling, competitive salary, annual performance bonus, RSUs, and full benefits including medical, dental, vision, and 401k match
• Summer Fridays
• Join one of our employee resource groups: Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness
• Comprehensive wellness, education, and employee assistance programs

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

About Cambridge Mobile Telematics:

Cambridge Mobile Telematics (CMT) is the world’s largest telematics and AI company for safer mobility. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell Fusion®, proactively identifies and reduces driving risk, leading to fewer crashes and injuries. To date, CMT’s technology has helped prevent over 126,000 crashes worldwide. CMT enables partners to measure risk, detect crashes, provide life-saving assistance, and streamline claims. Headquartered in Cambridge, MA, CMT operates globally with offices in Budapest, Hungary; Chennai, India; Seattle, Washington; Tokyo, Japan; and Zagreb, Croatia. Learn more at www.cmt.ai.

DESIGN VERIFICATION ENGINEER

England, UK (Bristol, Cambridge, London)

We are seeking a seasoned Design Verification designer with a strong background in building testbenches and writing test sequences for complex IPs. The ideal candidate will play a key role in shaping our technology portfolio, bringing expertise and creativity to our solutions

Responsibilities​:

• Create test plans for highly configurable IPs meant to provide interconnectivity between components across an SoC, chiplet, or multi-chiplet systems

• Write UVM/SystemVerilog code to implement the test plan, checkers, and scoreboards

• Collaborate with software teams to define and implement configurable testbenches

• Work with design teams test plans, failure debug, coverage, etc.​

Qualifications and Preferred Skills​

• BS, MS in Electrical Engineering, Computer Engineering or Computer Science

• 8+ years and current hands-on experience in block-level/IP-level/SoC-level verification

• Proficiency in Verilog, SystemVerilog

• Familiarity with industry-standard EDA tools for simulation and debug

• Deep experience with UVM-based testbenches

• Experience with modern programming languages like Python

• Knowledge of Arm AMBA protocols such as AXI, APB, and AHB

• Understanding of Arm CHI protocol is a plus

• Experience on working with IP's for caches, cache coherency, memory subsystems, interconnects, and NoC's

• Experience with formal verification techniques, emulation platforms is a plus

• Excellent problem-solving skills and attention to detail

• Strong communication and collaboration skills

The Building Engineer I is responsible for maintaining, operating, and troubleshooting building systems, including HVAC, plumbing, and electrical systems, focusing on performing routine maintenance tasks, responding to tenant requests, and ensuring systems operate safely under the guidance of senior engineers.

Essential Duties and Responsibilities:

• Perform scheduled maintenance, repairs, and inspections of building systems; address service requests, including hot/cold calls, plumbing issues, and lighting repairs.
• Troubleshoot minor equipment malfunctions and escalate issues as needed.
• Replace light fixtures, filters, and other components as required.
• Maintain accurate records of inspections and equipment performance.
• Interact with tenants, contractors, and property managers and work closely with senior engineers and technicians to support smooth building operations and resolve tenant issues.
• Assist with preventive maintenance tasks and contractor oversight.
• Conduct property inspections to identify deficiencies.
• 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.
• Provide guidance to junior Technicians when needed.
• 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.
• Work closely with senior engineers to develop technical skills and participate in professional development programs to grow into advanced roles.
• Perform other duties as assigned.

Qualifications:

• HS Diploma or GED required
• Two to three years of job related experience or commensurate certification/trade experience
• CFC Certification preferred or willingness to obtain as requested; possess engineering and trade licenses required according to local, state, or national requirements
• Basic working knowledge of laptop and phone applications for work order and facility operation systems as well as basic skills with Microsoft Outlook
• Familiar with fire/life safety equipment/procedures
• Proven track record for 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.
• Exhibit a willingness to develop familiarity with HVAC, electrical, and plumbing systems and gain experience with BAS operation and troubleshooting.

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

CMT is looking for a Senior Software Engineer to help build and scale our on-device ML systems within the Mobile SDK. This team owns the core C/C++ runtime that powers real-time sensor processing and machine learning across millions of mobile devices. The platform enables rapid deployment of new or updated driving behavior algorithms while maintaining strict guarantees around performance, battery usage, and correctness. 

CMT is looking for a Senior Software Engineer, Machine Learning Systems to help us change the world. CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide. We build AI to solve some of the most difficult challenges in mobility — understanding and reducing risk, detecting crashes, and getting people life-saving help. The problems are hard. The impact is real. No matter your role, your work will matter at CMT.

Responsibilities: 

• Use independent judgment and discretion to design and implement high-performance C/C++ components for real-time sensor data processing and on-device ML execution optimized for latency, memory footprint, and battery efficiency in resource-constrained mobile environments
• Drive architectural evolution of the on-device ML runtime to support rapid algorithm iteration for over-the-air delivery 
• Evolve and optimize core runtime modules responsible for filtering, resampling, and preprocessing sensor streams 
• Translate product and algorithmic requirements into scalable, maintainable system designs
• Collaborate with Data Science and Mobile teams to integrate and validate on-device models
• Lead design and code reviews and drive high standards for performance, reliability, and maintainability
• Debug and resolve production issues related to on-device algorithm behavior
• Raise the technical bar of the team through architectural rigor and performance discipline
• Complete any additional tasks as they arise 

Qualifications: 

• Bachelor’s degree or equivalent years of experience and/or certification in Computer Science, Electrical Engineering, or related field 
• 4+ years of software engineering experience 
• Strong proficiency in modern C++ (C++11 or later) 
• Experience building high-performance, cross-platform C++ libraries deployed in production mobile environments 
• Demonstrated experience optimizing systems for CPU efficiency and memory footprint
• Experience designing or maintaining real-time or streaming data systems with strict latency constraints
• Strong debugging and analytical skills 
• Experience with automated testing and performance validation

Nice to Haves: 

• Experience with signal processing or time-series data 
• Familiarity with on-device ML frameworks (e.g., PyTorch, TensorFlow Lite, CoreML, ExecuTorch)
• Experience integrating C++ with Android or iOS 
• Experience building SDK components embedded in third-party mobile apps

Compensation and Benefits: 

• Fair and competitive salary based on skills and experience, and annual performance bonus • Equity may be awarded in the form of Restricted Stock Units (RSUs) 
• Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave 
• Unlimited Paid Time Off including vacation, sick days & public holidays 
• Flexible scheduling and work from home policy depending on role and responsibilities

Base Salary Range

• The base salary range for this position is: $139,300 to $174,100. This range is specifically for Cambridge, MA

Additional Perks:

• Work on a mission with real impact: crashes prevented, injuries avoided, lives protected around the world
• Join an industry leader — 65 million drivers protected, powering 140+ programs across 25 countries
• Be part of the team inventing the future of mobility and road safety
• Move fast, own outcomes, do work that matters
• High ownership, small teams, and direct access to leadership — no layers between your work and its impact
• Unlimited PTO, flexible scheduling, competitive salary, annual performance bonus, RSUs, and full benefits including medical, dental, vision, and 401k match
• Summer Fridays
• Join one of our employee resource groups: Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness
• Comprehensive wellness, education, and employee assistance programs

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

About Cambridge Mobile Telematics:

Cambridge Mobile Telematics (CMT) is the world’s largest telematics and AI company for safer mobility. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell Fusion®, proactively identifies and reduces driving risk, leading to fewer crashes and injuries. To date, CMT’s technology has helped prevent over 126,000 crashes worldwide. CMT enables partners to measure risk, detect crashes, provide life-saving assistance, and streamline claims. Headquartered in Cambridge, MA, CMT operates globally with offices in Budapest, Hungary; Chennai, India; Seattle, Washington; Tokyo, Japan; and Zagreb, Croatia. Learn more at www.cmt.ai.

CMT is seeking a collaborative, product-oriented Sr Manager of Engineering to lead our Cloud Infrastructure team. This team builds and evolves CMT’s foundational platform services, delivering a robust, secure, and scalable foundation that powers all of our telematics products. You’ll partner closely with cross-functional engineering and product leaders across the company to define and drive the team's technical roadmap.

CMT is looking for a Senior Manager of Engineering, Platform to help us change the world. CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide. We build AI to solve some of the most difficult challenges in mobility — understanding and reducing risk, detecting crashes, and getting people life-saving help. The problems are hard. The impact is real. No matter your role, your work will matter at CMT.

Responsibilities:

• Strategic Leadership: Set the technical vision and strategy for the engineering team, ensuring it aligns with the company's business goal, maintaining the reliability and scalability of the underlying engineering platform. 
• Team Management and Development: Hire, mentor, and manage a team. This includes performance reviews, developing career plans, and fostering a culture of continuous learning and growth.
• Technical Oversight: Oversee the technology stack, including backend services and databases and guide key architectural decisions, ensuring scalability, performance, and security across all systems.
• Quality and Reliability: Ensure the delivery of high-quality, reliable products is a core responsibility. This includes setting standards for code quality, system uptime, and incident response protocols.
• Cross-Functional Collaboration: Partner with SRE and product engineering managers across all business units to define requirements, prioritize features, and ensure the engineering team is building the right things efficiently.
• Communication: Act as a key communicator, reporting on engineering progress to executive leadership and stakeholders, while also ensuring clear communication within the engineering team.
• Process Improvement: Continuously refine SDLC practices, implementing Agile, CI/CD, and testing best practices to optimize delivery velocity and quality.
• Risk Management: Proactively identify and mitigate technical risks, including security vulnerabilities, scalability constraints, and technical debt to ensure long-term platform stability.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field.
• 10+ years of experience in software development, with at least 5 years in a leadership or management role, preferably in backend development.
• Strong understanding of key computer science concepts, including knowledge of one or more common programming languages, e.g. Python, Java, Go, Swift, Kotlin, etc.
• Demonstrated experience working cross-functionally with engineering management, product management, data science, and customer facing teams.
• Demonstrated experience building and developing an engineering team and/or organization.
• Excellent problem-solving skills and the ability to lead a team in resolving complex technical challenges.
• Exceptional communication and leadership skills, fostering clarity, trust, and accountability.
• Knowledge of telematics, automotive technology, or connected devices (IoT) is a plus.

Nice to Have:

• Hands-on familiarity with cloud-native architectures (e.g., AWS, GCP, or Azure), containerization (Kubernetes, Docker), and distributed systems.
• Track record of improving developer productivity through CI/CD, observability, or internal developer platform initiatives.
• Experience managing technical transitions such as monolith-to-microservices, cloud migration, or major data store rearchitecture.
• Exposure to real-time data processing, streaming technologies (Kafka, Flink, Spark), or telemetry data pipelines.
• Deep understanding of security, compliance, and privacy best practices for enterprise or regulated environments.

Compensation and Benefits:

• Fair and competitive salary based on skills and experience, and annual performance bonus
• Equity may be awarded in the form of Restricted Stock Units (RSUs)
• Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave
• Unlimited Paid Time Off including vacation, sick days & public holidays
• Flexible scheduling and work from home policy depending on role and responsibilities

• The base salary range for this position is: $186,500 to $233,100. This range is specifically for Cambridge, MA

Additional Perks:

• Work on a mission with real impact: crashes prevented, injuries avoided, lives protected around the world
• Join an industry leader — 65 million drivers protected, powering 140+ programs across 25 countries
• Be part of the team inventing the future of mobility and road safety
• Move fast, own outcomes, do work that matters
• High ownership, small teams, and direct access to leadership — no layers between your work and its impact
• Unlimited PTO, flexible scheduling, competitive salary, annual performance bonus, RSUs, and full benefits including medical, dental, vision, and 401k match
• Summer Fridays
• Join one of our employee resource groups: Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness
• Comprehensive wellness, education, and employee assistance programs

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

About Cambridge Mobile Telematics:

Cambridge Mobile Telematics (CMT) is the world’s largest telematics and AI company for safer mobility. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell Fusion®, proactively identifies and reduces driving risk, leading to fewer crashes and injuries. To date, CMT’s technology has helped prevent over 126,000 crashes worldwide. CMT enables partners to measure risk, detect crashes, provide life-saving assistance, and streamline claims. Headquartered in Cambridge, MA, CMT operates globally with offices in Budapest, Hungary; Chennai, India; Seattle, Washington; Tokyo, Japan; and Zagreb, Croatia. Learn more at www.cmt.ai.

CMT is seeking a collaborative, product-oriented Sr Manager of Engineering to lead our Cloud Infrastructure team. This team builds and evolves CMT’s foundational platform services, delivering a robust, secure, and scalable foundation that powers all of our telematics products. You’ll partner closely with cross-functional engineering and product leaders across the company to define and drive the team's technical roadmap.

CMT is looking for a Senior Manager of Engineering, Platform to help us change the world. CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide. We build AI to solve some of the most difficult challenges in mobility — understanding and reducing risk, detecting crashes, and getting people life-saving help. The problems are hard. The impact is real. No matter your role, your work will matter at CMT.

Responsibilities:

• Strategic Leadership: Set the technical vision and strategy for the engineering team, ensuring it aligns with the company's business goal, maintaining the reliability and scalability of the underlying engineering platform. 
• Team Management and Development: Hire, mentor, and manage a team. This includes performance reviews, developing career plans, and fostering a culture of continuous learning and growth.
• Technical Oversight: Oversee the technology stack, including backend services and databases and guide key architectural decisions, ensuring scalability, performance, and security across all systems.
• Quality and Reliability: Ensure the delivery of high-quality, reliable products is a core responsibility. This includes setting standards for code quality, system uptime, and incident response protocols.
• Cross-Functional Collaboration: Partner with SRE and product engineering managers across all business units to define requirements, prioritize features, and ensure the engineering team is building the right things efficiently.
• Communication: Act as a key communicator, reporting on engineering progress to executive leadership and stakeholders, while also ensuring clear communication within the engineering team.
• Process Improvement: Continuously refine SDLC practices, implementing Agile, CI/CD, and testing best practices to optimize delivery velocity and quality.
• Risk Management: Proactively identify and mitigate technical risks, including security vulnerabilities, scalability constraints, and technical debt to ensure long-term platform stability.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field.
• 10+ years of experience in software development, with at least 5 years in a leadership or management role, preferably in backend development.
• Strong understanding of key computer science concepts, including knowledge of one or more common programming languages, e.g. Python, Java, Go, Swift, Kotlin, etc.
• Demonstrated experience working cross-functionally with engineering management, product management, data science, and customer facing teams.
• Demonstrated experience building and developing an engineering team and/or organization.
• Excellent problem-solving skills and the ability to lead a team in resolving complex technical challenges.
• Exceptional communication and leadership skills, fostering clarity, trust, and accountability.
• Knowledge of telematics, automotive technology, or connected devices (IoT) is a plus.

Nice to Have:

• Hands-on familiarity with cloud-native architectures (e.g., AWS, GCP, or Azure), containerization (Kubernetes, Docker), and distributed systems.
• Track record of improving developer productivity through CI/CD, observability, or internal developer platform initiatives.
• Experience managing technical transitions such as monolith-to-microservices, cloud migration, or major data store rearchitecture.
• Exposure to real-time data processing, streaming technologies (Kafka, Flink, Spark), or telemetry data pipelines.
• Deep understanding of security, compliance, and privacy best practices for enterprise or regulated environments.

Compensation and Benefits:

• Fair and competitive salary based on skills and experience, and annual performance bonus
• Equity may be awarded in the form of Restricted Stock Units (RSUs)
• Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave
• Unlimited Paid Time Off including vacation, sick days & public holidays
• Flexible scheduling and work from home policy depending on role and responsibilities

• The base salary range for this position is: $186,500 to $233,100. This range is specifically for Cambridge, MA

Additional Perks:

• Work on a mission with real impact: crashes prevented, injuries avoided, lives protected around the world
• Join an industry leader — 65 million drivers protected, powering 140+ programs across 25 countries
• Be part of the team inventing the future of mobility and road safety
• Move fast, own outcomes, do work that matters
• High ownership, small teams, and direct access to leadership — no layers between your work and its impact
• Unlimited PTO, flexible scheduling, competitive salary, annual performance bonus, RSUs, and full benefits including medical, dental, vision, and 401k match
• Summer Fridays
• Join one of our employee resource groups: Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness
• Comprehensive wellness, education, and employee assistance programs

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

About Cambridge Mobile Telematics:

Cambridge Mobile Telematics (CMT) is the world’s largest telematics and AI company for safer mobility. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell Fusion®, proactively identifies and reduces driving risk, leading to fewer crashes and injuries. To date, CMT’s technology has helped prevent over 126,000 crashes worldwide. CMT enables partners to measure risk, detect crashes, provide life-saving assistance, and streamline claims. Headquartered in Cambridge, MA, CMT operates globally with offices in Budapest, Hungary; Chennai, India; Seattle, Washington; Tokyo, Japan; and Zagreb, Croatia. Learn more at www.cmt.ai.

As a Principal Machine Learning Engineer at CMT, you will develop algorithms that represent physical phenomena associated with both vehicle and human movements when measured by cell phone sensors and IoT devices. You will solve challenging real-world problems and assist in the development of innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Using knowledge of statistics, machine learning / deep learning, signal processing, physics, programming and data modeling, the Principal Machine Learning Engineer consults on Data Science projects, and works independently on developing new solutions to achieve CMT’s objectives, and making valuable discoveries which lead to company-wide prototype development and product improvements. 

CMT is looking for a Principal Machine Learning Engineer to help us change the world. CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide. We build AI to solve some of the most difficult challenges in mobility — understanding and reducing risk, detecting crashes, and getting people life-saving help. The problems are hard. The impact is real. No matter your role, your work will matter at CMT.

Responsibilities: 

• Use independent judgment and discretion to spearhead the creation of innovative and cutting-edge algorithmic solutions, utilizing unconventional approaches to address complex challenges. These solutions should have a far-reaching impact on the company, and involve the development of new features and products for customers using diverse data sources 
• Lead and mentor a team of talented junior machine learning engineers, guiding them through every phase of solution development, from meticulous data pre-processing and advanced modeling, to rigorous testing, seamless roll-out, and continuous performance monitoring in live production environments
• Demonstrate exceptional communication skills to effectively convey and present complex data science concepts to stakeholders across the organization. Foster a collaborative environment by actively engaging with diverse teams and promoting cross-functional cooperation 
• Stay at the forefront of research and emerging trends in the field of data science. Evaluate and validate the potential impact of incorporating new ideas into the platform, products, and customer experiences, ensuring continuous enhancement and innovation 
• Complete any additional tasks as they arise 

Qualifications: 

• Bachelor’s degree or equivalent years of experience and/or certification in Data Science, Computer Science, Electrical Engineering, Physics or Mathematics 
• 7+ years of experience in the Data Science field 
• 3+ years of experience developing commercial software with strong algorithmic, AI/machine learning, or signal processing components 
• Deep understanding of data science principles, algorithms and practices, such as deep learning / machine learning, statistics and probability, signal processing, and sensor physics
• Must possess a thorough knowledge and practice of software development process in large scale, and proven coding skills using scripting languages e.g. Python, Pandas, NumPy, scikit-learn, SQL
• Advanced knowledge of Big Data infrastructure, computation and storage as well as scalable AI/ML platforms & tools, e.g. Spark, Ray, TensorFlow, Keras, Torch, Caffe, etc. 
• Strong visualization and data literacy skills, with demonstrated ability to summarize mathematical representations into simple data visualizations and statistical results 
• Strong customer-focus and presentation skills with the ability to obtain requirements and influence outcomes

Nice to Haves: 

• Master’s or Ph.D. preferred

Compensation and Benefits:

• Fair and competitive salary based on skills and experience, and annual performance bonus
• Equity may be awarded in the form of Restricted Stock Units (RSUs)
• Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave
• Unlimited Paid Time Off including vacation, sick days & public holidays
• Flexible scheduling and work from home policy depending on role and responsibilities

Base Salary Range

• The base salary range for this position is: $177,000 to $221,300.  This range is specifically for Cambridge, MA

Additional Perks:

• Work on a mission with real impact: crashes prevented, injuries avoided, lives protected around the world
• Join an industry leader — 65 million drivers protected, powering 140+ programs across 25 countries
• Be part of the team inventing the future of mobility and road safety
• Move fast, own outcomes, do work that matters
• High ownership, small teams, and direct access to leadership — no layers between your work and its impact
• Unlimited PTO, flexible scheduling, competitive salary, annual performance bonus, RSUs, and full benefits including medical, dental, vision, and 401k match
• Summer Fridays
• Join one of our employee resource groups: Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness
• Comprehensive wellness, education, and employee assistance programs

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

About Cambridge Mobile Telematics:

Cambridge Mobile Telematics (CMT) is the world’s largest telematics and AI company for safer mobility. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell Fusion®, proactively identifies and reduces driving risk, leading to fewer crashes and injuries. To date, CMT’s technology has helped prevent over 126,000 crashes worldwide. CMT enables partners to measure risk, detect crashes, provide life-saving assistance, and streamline claims. Headquartered in Cambridge, MA, CMT operates globally with offices in Budapest, Hungary; Chennai, India; Seattle, Washington; Tokyo, Japan; and Zagreb, Croatia. Learn more at www.cmt.ai.

Intermediate / Senior Electrical, Instrumentation and Control (EIC) Engineer

LAPORTE is an international engineering group specialising in the design of Pharmaceutical, Biotech, Agri-industrial and Food & Beverage manufacturing facilities. With over 500 employees across Canada, USA, France, Belgium, Switzerland and the United Kingdom.

We are seeking to recruiting one electrical/instrumentation/control engineer to support our international clients having operations in UK. We offer competitive salary and benefits package, commensurate with experience and technical proficiency

This role is based in our London office with up to 50% travel to client sites. Our office is in the heart of London, near London Bridge (30 Great Guildford St), easily accessible by underground and train.

Key Responsibilities:

• Develop electrical engineering conceptual, preliminary and detailed designs, drawings, and specifications (e.g. load list, cable sizing, protective devices, lighting, switchgear, LV distribution, back-up systems, earthing, fire alarms, security systems, etc.);
• Lead and support automation and control system projects, preparing specifications for control panels, networks, and software (mainly Allen-Bradley PLC/PACs, FactoryTalk View ME/SE, HMI, and SCADA systems).
• Translate process or packaging applications into detailed electrical and control construction packages, including layout drawings, schematics, wiring diagrams, cable schedules, and control panel documentation.
• Provide end-to-end project support: site surveys, system design, troubleshooting, testing, commissioning, and on-site assistance.
• Contribute to proposal development, contract management, and client relationship management.

• Support the growth and training of an EIC (Electrical, Instrumentation, and Control) design team in the UK.

Qualifications

• Bachelor’s degree in Electrical Engineering or other relevant discipline.
• Strong entrepreneurial spirit;
• Proven leadership, communication, and project management abilities, alongside strong technical knowledge.
• 8+ years of experience in engineering consultancy in the UK, ideally in Bio-industrial, Food and Beverage or Pharmaceutical industries, or other process-driven industries.
• Proficiency in AutoCAD and Revit.

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

About Acceleron Fusion:
Acceleron Fusion is developing muon‑catalyzed fusion—a path to clean, abundant energy. Building on research sponsored by the U.S. DOE, we have recently raised a $24M Series A venture capital round and have already logged 100+ hours of muon-catalyzed fusion in tests at the Paul Scherrer Institute. Our collaborators include PSI, Oak Ridge, Argonne, Fermilab, and several universities. Join a team where fundamental physics meets application-oriented engineering, and your designs could help move our technology from the laboratory to a commercial energy source.

About this role:
We’re looking for a high-voltage electrical systems engineer to design advanced beam-control hardware for our fusion experiments. You will develop high-voltage and RF solutions that enable precise manipulation of particle beams at energies from kilovolts to megavolts.  

What you’ll do:

• Analyze, model, and mitigate electrical-breakdown and insulation challenges in high-voltage structures and circuits.
• Design kilovolt-to-megavolt electrostatic systems—for example using Marx generators, Cockcroft‑Walton stacks, or Pelletrons —for particle beam acceleration and cooling.
• Architect RF power and energy recovery systems using Klystrons, Magnetrons, waveguides, and similar components.
• Build multiphysics models incorporating electromagnetics, heat transfer, fluid flow, and particle transport.
• Build prototypes and conduct lab tests.
• Generate clear design docs, test plans, and risk analyses that support rapid iteration and safe operations.
• Travel with the team (including international travel) to integrate your hardware at beamline facilities and carry out experiments.

What we’re looking for:

• B.S., M.S., or Ph.D. in Electrical Engineering, Physics, or a closely related field.
• Five years experience designing high voltage or pulsed power systems.
• Proficiency with COMSOL, ANSYS, or similar multiphysics simulation tools.
• Proficiency with circuit design tools (e.g. Altium).
• Hands‑on lab experience: high voltage safety standards and best practices; lab instrumentation; practical troubleshooting.
• Thoughtful collaboration skills, able to interact and work closely with people from other technical disciplines and backgrounds.
• Demonstrated time management and organizational skills.
• Excellent written and verbal communication abilities.

Preferred Qualifications (not required):

• Experience with particle accelerators, charged particle optics, or high vacuum systems.
• Proficiency with GEANT4, FLUKA, MCNP, or similar Monte Carlo simulation tools.

Details & Logistics:

• This is a full-time, onsite role working from our facility in Cambridge, MA.
• Travel (including international) for several weeks per year is required.
• Our benefits package includes health & dental insurance, retirement savings with company contribution, stock options, paid time off, and 11 company holidays.
• The salary range for this role is $110K to $150K. This range represents the minimum and maximum base compensation Acceleron Fusion reasonably expects to pay for this position. The specific salary offered will be determined based on relevant factors including skills, experience, qualifications, and location. This position may also be eligible for additional compensation such as bonuses, equity, or other benefits.
• Candidates who don’t meet all of our requirements are encouraged to apply.

#LI-Onsite

We are seeking an experienced Embedded Software Engineer (Rust) to join our Platform team (folks looking after the spacecraft). The successful candidate will play a crucial role in developing software for our satellite systems, contributing to the expansion and enhancement of our space-based data collection capabilities.

Ideal candidates will embrace the commercialization of nanosatellite systems and adapt to low-cost, fast-paced systems design, development, and implementation methodologies that set Spire apart from our competition. In this fast-paced environment, the design to launch cycle is measured in weeks and months, not years!

What You’ll Do as a Spacecraft Embedded Software Engineer:

• Develop daemons in Rust that interface with embedded systems using low- level protocols
• Implement communication interfaces between embedded systems and higher-level processes
• Integrate C code for specific hardware interfaces
• Contribute to the design and implementation of fault-tolerant systems
• Collaborate closely with the Electrical Engineering team to ensure optimal software-hardware integration
• Create and maintain comprehensive documentation for APIs and system architectures
• Contribute to the continuous improvement of our development processes and tools

Key Skills:

• Proven experience in embedded systems development using Rust
• Knowledge of or adaptability to Linux-based development (Ubuntu) 
• Proficiency in integrating C code with Rust projects
• Experience with real-time communication protocols
• Experience with inter-process communication protocols
• Understanding of electronics and ability to communicate effectively with hardware engineers
• Excellent documentation skills

Preferred Skills: 

• Familiarity with safety-critical embedded systems in any industry
• Experience with Yocto for embedded systems
• Knowledge of version control systems, particularly Git and GitHub
• Familiarity with CI/CD pipelines
• Experience with project management tools
• Proficiency in scripting languages like Python and Bash
• Understanding of cybersecurity principles for embedded systems
• Knowledge of telemetry and command systems
• Experience with formal verification methods for critical software components
• Experience in implementing Fault Detection, Isolation, and Recovery (FDIR) systems for embedded applications

Tools and Technologies: Rust, C | Scripting languages (Bash/Python) | Ubuntu (development environment)  | Yocto (target environment) | Version control using Git

Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office.

Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. #LI-RK1

We are seeking an experienced Embedded Software Engineer (Rust) to join our Platform team (folks looking after the spacecraft). The successful candidate will play a crucial role in developing software for our satellite systems, contributing to the expansion and enhancement of our space-based data collection capabilities.

Ideal candidates will embrace the commercialization of nanosatellite systems and adapt to low-cost, fast-paced systems design, development, and implementation methodologies that set Spire apart from our competition. In this fast-paced environment, the design to launch cycle is measured in weeks and months, not years!

What You’ll Do as a Spacecraft Embedded Software Engineer:

• Develop daemons in Rust that interface with embedded systems using low- level protocols
• Implement communication interfaces between embedded systems and higher-level processes
• Integrate C code for specific hardware interfaces
• Contribute to the design and implementation of fault-tolerant systems
• Collaborate closely with the Electrical Engineering team to ensure optimal software-hardware integration
• Create and maintain comprehensive documentation for APIs and system architectures
• Contribute to the continuous improvement of our development processes and tools

Key Skills:

• Proven experience in embedded systems development using Rust
• Knowledge of or adaptability to Linux-based development (Ubuntu) 
• Proficiency in integrating C code with Rust projects
• Experience with real-time communication protocols
• Experience with inter-process communication protocols
• Understanding of electronics and ability to communicate effectively with hardware engineers
• Excellent documentation skills

Preferred Skills: 

• Familiarity with safety-critical embedded systems in any industry
• Experience with Yocto for embedded systems
• Knowledge of version control systems, particularly Git and GitHub
• Familiarity with CI/CD pipelines
• Experience with project management tools
• Proficiency in scripting languages like Python and Bash
• Understanding of cybersecurity principles for embedded systems
• Knowledge of telemetry and command systems
• Experience with formal verification methods for critical software components
• Experience in implementing Fault Detection, Isolation, and Recovery (FDIR) systems for embedded applications

Tools and Technologies: Rust, C | Scripting languages (Bash/Python) | Ubuntu (development environment)  | Yocto (target environment) | Version control using Git

Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office.

Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. #LI-RK1

We are seeking an experienced Embedded Software Engineer to join our Platform team supporting Spacecraft Operations. The successful candidate will play a crucial role in supporting other disciplines by focusing on the embedded software aspects of our satellite systems. The Platform team interfaces directly with many engineering groups to conduct R&D, design, manufacturing, and operations activities, ultimately ensuring all current and future spacecraft systems satisfy their mission.

Ideal candidates will embrace the commercialization of nanosatellite systems and adapt to low-cost, fast-paced systems design, development, and implementation methodologies that set Spire apart from our competition. In this fast-paced environment, the design to launch cycle is measured in weeks and months, not years!

What You’ll Do as a Senior Embedded Software Engineer:

• Design, implement and test, deploy and maintain embedded firmware
• Collaborate with other engineering functions on scoping, architecture and system design
• Resolve on-orbit and on-ground issues related to embedded systems
• Implement, optimize and maintain various serial protocols
• Design and develop interface tools to improve abstraction between the embedded system and other satellite components 
• Debug and resolve complex embedded systems issues in a timely manner
• Write and maintain technical documentation

Key Skills: 

• Bachelor's degree in Computer Science, Electrical Engineering, or related field
• Mastery of Embedded C programming language
• Proficiency with scripting languages like Python and Bash
• Extensive experience with real-time operating systems (RTOS), specifically FreeRTOS
• Familiarity with serial protocols and implementations
• Strong problem-solving skills, particularly in debugging embedded systems
• Experience with version control systems (e.g., Git)
• Experience developing on Linux (Ubuntu)
• A base level of mathematical knowledge (engineering mathematic or similar)
• Excellent communication and teamwork abilities

Preferred Skills: 

• Experience with space systems or satellite technology
• Familiarity working to coding standards and using static analysis tools
• Experience writing Rust for resource constrained environments (embedded Linux)
• Experience with embedded Linux
• Knowledge of control systems and algorithms

Tools and Technologies:

• FreeRTOS for real-time operating system implementation
• GNU ARM Embedded Toolchain for code compilation
• GDB for debugging, complemented by extensive use of serial and/or CAN debugging
• Experience with debugging techniques for systems without JTAG access, particularly for remote issue resolution
• Familiarity with manual testing procedures for embedded interface code
• Experience working with Arm Cortex Microcontrollers
• Version control using Git

Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office.

Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. #LI-RK1

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