As a Manager, Software Engineering, you will be responsible for demonstrating end-to-end outcome ownership of a major system within an integrated product, and the team responsible for building and maintaining it. You will contribute as a team lead to the rapid architecting, design, delivery, support, and evolution of next-generation autonomous platforms through their entire product life-cycle.

Key responsibilities include:

• Empathizing with end-users and driving solutions that balance their needs with external constraints, restrictions, and requirements in a multi-stakeholder environment
• Being accountable for software-enabled solutions that are deployed to customers, optimizing for the delivery of value to the end-user
• Collaborating with your Technical Lead to architect scalable software that rapidly delivers capability beyond the scope of current platforms, with a clear path for both architecture and capability evolution over time
• Coordinating your team's roadmap and execution with other teams across Anduril, with the aim of developing components that are reusable across multiple Anduril product lines
• Contributing to the design, implementation, and execution of development processes for the initial delivery and subsequent iteration of vehicle and mission software, including full lifecycle testing, monitoring, and operation
• Managing a 6-18 month roadmap for your team, nested within broader organisational roadmap
• Managing an allocated budget for your team
• Managing programmatic risk for your team, and collaborating with your Technical Lead to manage technical risk, including sound and timely decision making
• Leading by example as a technically competent, trustworthy, and accountable team lead
• Communicating organisational vision, strategy, and direction to your team
• Defining, documenting, gaining consensus for, and communicating appropriate goals and plans for your team, derived from broader organisational vision, strategy, and priorities
• Building your team through mentoring, professional development, career management, and collaboration with Anduril's recruiting and people functions
• Working as a leader of a multi-disciplinary engineering team of 4-10 members, including as a mentor and manager for Engineers from differing backgrounds
• Reporting to a manager who may or may not have a background in software engineering
• Traveling to co-locate with end-users and/or other teams up to 20% of the time

XML job scraping automation by YubHub

Responsibilities:

• Design, develop, and maintain the Linux-based or commercial real-time operating system components for UAVs, focusing on performance, reliability, and security.
• Optimise the OS for concurrent processing and efficient resource management.
• Collaborate with hardware engineers, software developers, and autonomy engineers to ensure seamless integration of OS components with other subsystems.
• Develop and maintain drivers and middleware for various hardware components and sensors, especially camera and timing systems.
• Conduct rigorous testing and debugging to ensure the stability and robustness of the OS.
• Stay updated with the latest advancements in OS technologies and apply best practices to our systems.

Requirements:

• Minimum of 5 years of related experience with a Bachelor's degree in Computer Science (or related field); or 3 years and a Master's degree; or 2 years with a PhD; or equivalent work experience.
• Proven experience in OS development, particularly in real-time and embedded systems.
• Strong understanding of RTOS concepts, concurrent programming, and resource management.
• Proficiency in programming languages such as C, C++, Python, or similar.
• Experience with developing drivers and middleware for hardware components.
• Familiarity with cyber security principles and practices in embedded systems, including secure boot and data-at-rest encryption.
• Excellent communication skills, with the ability to effectively collaborate with multidisciplinary teams and external stakeholders.
• Demonstrated track record of assuming ownership over development processes and features and delivering outstanding outcomes.
• Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment.

Nice to Have:

• Experience customising, deploying, and maintaining Linux distributions created with Yocto on various hardware platforms
• Experience customising, deploying, and maintaining RTOS's such as VxWorks, RTLinux, or Green Hills
• Experience with Nvidia OS customisation and maintenance

XML job scraping automation by YubHub

Key responsibilities include:

• Developing high-quality C/C++ code tailored specifically for V-Bat aircraft, ensuring optimal performance, reliability, and safety.
• Participating in architecture, design, and code reviews
• Leading cross-functional teams to create systems of software features to implement advanced robotic avionics capabilities
• Integrating software from multiple departments to include firmware, software test and verification, Autonomy AI, and Ground Control Stations (GCS)
• Developing software systems to implement and integrate interfaces to modern avionics sensors, sub-systems, and payloads
• Facilitating the design process for updates to the software system architecture
• Using modern software development tools and processes to capture our existing architecture and design future architectures
• Collaborating to define and extend systems engineering processes
• Reporting status, risks, accomplishments, expectations to senior leadership
• Working with the V-Bat production teams to manufacture UAVs in-house.

Requirements include:

• Demonstrated track record of assuming ownership over development processes and features and delivering outstanding outcomes
• Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed client expectations in a fast-paced environment
• Proactively identifying opportunities for improvement within software development projects, demonstrating initiative to propose and implement innovative solutions that enhance efficiency, quality, and overall project success and V-Bat reliability
• B.S., M.S, PhD degree in Systems Engineering, Software Engineering, Computer Science or STEM (Science, Technology, Engineering, or Mathematics) discipline, such as Aerospace, Mechanical, or Electrical Engineering
• Strong embedded software development experience in C/C+
• Strong knowledge of embedded software, kernel development, BSPs or other systems software components
• Good understanding of computer architecture, operating systems, and network protocols fundamentals
• Experience producing high-quality technical documentation, including architecture, detailed designs, and test plans

XML job scraping automation by YubHub

Key responsibilities include:

• Leading teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution.
• Integrating autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.
• Owning the build, configuration, and validation process for flight-ready systems; coordinating hardware/software compatibility and mission readiness.
• Traveling to test sites and supporting live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.
• Diagnosing and resolving integration issues across complex autonomy software stacks and embedded systems in lab and field environments.
• Managing data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.
• Collaborating with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.

Required qualifications include:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.
• Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.
• 7+ years of experience in Unmanned Systems programs in the DoD or applied R&D.
• 2+ years of people leadership experience.
• Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).
• Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.
• Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS).
• Hands-on experience supporting flight demos or live exercises.
• Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.
• Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.
• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.
• Ability to obtain a SECRET clearance.

Preferred qualifications include:

• Direct experience supporting unmanned aerial systems or similar flight test campaigns.
• Familiarity with autonomy stacks, flight control systems, or GNC pipelines.
• Competence in sensor integration, electronics debugging, or avionics bring-up.
• Proficiency in developing automation tools for system testing, logging, and data parsing.
• Comfortable interfacing with DoD stakeholders during field events or technical reviews.
• Experience with UCI and OMS Standards.

XML job scraping automation by YubHub

Your primary responsibilities will include:

• Leading multidisciplinary teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution.

• Designing tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision.

• Developing high-performance software modules that incorporate planning, decision-making, and behaviour execution strategies for dynamic and adversarial environments.

• Implementing and testing behaviour architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios.

• Working at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behaviour.

• Collaborating with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms.

• Deploying autonomy capabilities to real platforms and participating in field tests and flight demos, validating performance in operationally relevant conditions.

• Analyzing mission logs and performance data to diagnose failures, optimize behaviour models, and inform iterative development.

• Contributing to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI's mission.

• Supporting defence-focused programmes and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback.

• Traveling around 10-15% of the year to different office locations, customer sites, and flight integration events.

As a Senior Manager, Autonomy - Tactical Behaviours, you will have the opportunity to work on cutting-edge autonomy projects and contribute to the development of intelligent systems that will shape the future of defence and security.

If you are a motivated and experienced professional with a passion for autonomy and defence, we encourage you to apply for this exciting opportunity.

XML job scraping automation by YubHub

Key responsibilities include:

• Designing tactical autonomy algorithms to enable unmanned aircraft to perform complex missions
• Developing high-performance software modules that incorporate planning, decision-making, and behavior execution strategies
• Implementing and testing behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios
• Working at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior
• Collaborating with cross-functional teams to ensure seamless integration of autonomy solutions on real-world platforms
• Deploying autonomy capabilities to real platforms and participating in field tests and flight demos, validating performance in operationally relevant conditions
• Analyzing mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development

Required qualifications include:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
• Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)
• Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system design
• Significant experience with unmanned system technologies and accompanying algorithms (specifically air domain)
• Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation

Preferred qualifications include:

• Experience applying ML/RL techniques in autonomy pipelines
• Background in collaborative behaviors, swarm robotics, or distributed decision-making
• Familiarity with tactical behaviors for unmanned systems in DoD or government programs

Salary: $160,000 - $240,000 a year

XML job scraping automation by YubHub

Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Flight Integration Engineers are essential to bridging the gap between R&D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.

Responsibilities:

• System Integration & Deployment , Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.

• Pre-flight Preparation , Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.

• On-site Flight Test Support , Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.

• Hardware/Software Debugging , Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.

• Flight Data Capture & Analysis , Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviours and identify improvements.

• Collaboration Across Teams , Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.

• Continuous Improvement , Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.

• Support Certification and Compliance , Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.

• Travel Requirement– Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).

Requirements:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience

• Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience

• Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)

• Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics

• Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)

• Hands-on experience supporting flight demos or live exercises

• Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation

• Strong problem-solving skills, with the ability to troubleshoot and optimize system performance

• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment

• Ability to obtain a SECRET clearance

Preferred Qualifications:

• Direct experience supporting unmanned aerial systems or similar flight test campaigns

• Familiarity with autonomy stacks, flight control systems, or GNC pipelines

• Competence in sensor integration, electronics debugging, or avionics bring-up

• Proficiency in developing automation tools for system testing, logging, and data parsing

• Comfortable interfacing with DoD stakeholders during field events or technical reviews

• Experience with UCI and OMS Standards

$182,720 - $274,080 a year

XML job scraping automation by YubHub

This position offers an exciting opportunity to apply your technical expertise in autonomy and system integration while growing your skills in a fast-paced and collaborative environment. You will work on cutting-edge projects that advance the capabilities of autonomous systems and ensure their seamless integration into real-world platforms.

Responsibilities:

• Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution.
• Assist in developing autonomy algorithms for path planning, decision-making, perception, and control to meet system performance and mission requirements.
• Support the integration of autonomy algorithms with platform hardware and software, including sensors, control systems, and communication interfaces.
• Conduct simulation-based testing (HIL/SIL) and participate in live system tests to validate autonomy functionality and identify areas for improvement.
• Work closely with software developers, systems engineers, and testing teams to ensure alignment of autonomy capabilities with overall system architecture and mission goals.
• Debug and optimize autonomy systems to enhance performance, reliability, and adaptability.
• Contribute to technical documentation, test reports, and presentations for stakeholders and team members.
• Stay current on emerging trends and technologies in robotics, autonomy, and AI to incorporate best practices into development efforts.

Requirements:

• Bachelor’s Degree in Computer Science, Electrical Engineering, Aerospace Engineering, Robotics, or a related field (Master’s preferred).
• 10+ years of experience developing and integrating autonomy algorithms in robotics, aerospace, or defense systems.
• 2+ years managing technical teams.
• Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).
• Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS).
• Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.
• Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.
• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.
• Ability to obtain a SECRET clearance.

Preferred Qualifications:

• Familiarity with open architecture standards (e.g., OMS/UCI or FACE) and regulatory standards (e.g., DO-178C).
• Active SECRET Clearance.

XML job scraping automation by YubHub

Key responsibilities include: Designing tactical autonomy algorithms to enable unmanned aircraft to perform complex missions Developing high-performance software modules that incorporate planning, decision-making, and behaviour execution strategies Implementing and testing behaviour architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios Working at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods Collaborating with cross-functional teams to ensure seamless integration of autonomy solutions on real-world platforms Deploying autonomy capabilities to real platforms and participating in field tests and flight demos Analyzing mission logs and performance data to diagnose failures, optimize behaviour models, and inform iterative development Contributing to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions Supporting defence-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback

Required qualifications include: BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS) Significant background in robotics technologies related to motion planning, behaviour modelling, decision-making, or autonomous system design Significant experience with unmanned system technologies and accompanying algorithms (specifically air domain) Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation Strong problem-solving skills, with the ability to troubleshoot and optimise system performance Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment Ability to obtain a SECRET clearance

Preferred qualifications include: Experience applying ML/RL techniques in autonomy pipelines Background in collaborative behaviours, swarm robotics, or distributed decision-making Familiarity with tactical behaviours for unmanned systems in DoD or government programs Work on behaviours applicable across air, ground, and maritime vehicles Hands-on experience supporting flight demos or live exercises Experience with UCI and OMS Standards

The salary range for this role is $182,720 - $274,080 per year.

XML job scraping automation by YubHub

The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test conditions.

Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Flight Integration Engineers are essential to bridging the gap between R&D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.

Responsibilities:

• System Integration & Deployment , Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.

• Pre-flight Preparation , Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.

• On-site Flight Test Support , Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.

• Hardware/Software Debugging , Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.

• Flight Data Capture & Analysis , Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.

• Collaboration Across Teams , Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.

• Continuous Improvement , Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.

• Support Certification and Compliance , Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.

• Travel Requirement , Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).

Requirements:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience

• Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience

• Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)

• Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics

• Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)

• Hands-on experience supporting flight demos or live exercises

• Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation

• Strong problem-solving skills, with the ability to troubleshoot and optimize system performance

• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment

• Ability to obtain a SECRET clearance

Preferred Qualifications:

• Direct experience supporting unmanned aerial systems or similar flight test campaigns

• Familiarity with autonomy stacks, flight control systems, or GNC pipelines

• Competence in sensor integration, electronics debugging, or avionics bring-up

• Proficiency in developing automation tools for system testing, logging, and data parsing

• Comfortable interfacing with DoD stakeholders during field events or technical reviews

• Experience with UCI and OMS Standards

XML job scraping automation by YubHub

Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Flight Integration Engineers are essential to bridging the gap between R&D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.

Responsibilities:

• System Integration & Deployment , Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.
• Pre-flight Preparation , Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.
• On-site Flight Test Support , Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.
• Hardware/Software Debugging , Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.
• Flight Data Capture & Analysis , Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.
• Collaboration Across Teams , Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.
• Continuous Improvement , Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.
• Support Certification and Compliance , Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.
• Travel Requirement , Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).

Requirements:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
• Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience
• Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)
• Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics
• Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)
• Hands-on experience supporting flight demos or live exercises
• Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation
• Strong problem-solving skills, with the ability to troubleshoot and optimize system performance
• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment
• Ability to obtain a SECRET clearance

Preferences:

• Direct experience supporting unmanned aerial systems or similar flight test campaigns
• Familiarity with autonomy stacks, flight control systems, or GNC pipelines
• Competence in sensor integration, electronics debugging, or avionics bring-up
• Proficiency in developing automation tools for system testing, logging, and data parsing
• Comfortable interfacing with DoD stakeholders during field events or technical reviews
• Experience with UCI and OMS Standards

XML job scraping automation by YubHub

Key responsibilities include:

• Designing tactical autonomy algorithms to enable unmanned aircraft to perform complex missions
• Developing high-performance software modules that incorporate planning, decision-making, and behavior execution strategies
• Implementing and testing behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios
• Working at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior
• Collaborating with cross-functional teams to ensure seamless integration of autonomy solutions on real-world platforms
• Deploying autonomy capabilities to real platforms and participating in field tests and flight demos, validating performance in operationally relevant conditions
• Analyzing mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development
• Contributing to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI's mission

Requirements include:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
• Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience
• Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)
• Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system design
• Significant experience with unmanned system technologies and accompanying algorithms (specifically air domain)
• Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation
• Strong problem-solving skills, with the ability to troubleshoot and optimize system performance
• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment
• Ability to obtain a SECRET clearance

Preferred qualifications include experience applying ML/RL techniques in autonomy pipelines, background in collaborative behaviors, swarm robotics, or distributed decision-making, familiarity with tactical behaviors for unmanned systems in DoD or government programs, and hands-on experience supporting flight demos or live exercises.

XML job scraping automation by YubHub

You will be the technical authority on hardware root of trust, secure boot, firmware integrity, embedded system hardening, and the security of third-party hardware integrations. Your work ensures that every component on the vessel is resilient against tampering, exploitation, and supply chain compromise, designed in from the start and maintained across the fleet lifecycle.

Key Responsibilities:

• Conduct hardware security assessments including fault injection, side-channel analysis, interface evaluation, and bus protocol analysis across Saronic-built and third-party hardware including sensors, radios, navigation systems, propulsion controllers, and communication modules

• Evaluate and harden physical interfaces, debug ports, maintenance access points, and removable media interfaces on vessel hardware

• Evaluate supply chain security risks for hardware components and recommend provenance validation, anti-tamper, and attestation controls

• Develop and maintain a hardware security testing capability including tooling, methodology, and repeatable test procedures

• Design and implement secure boot chains establishing hardware root of trust from power-on through application launch, integrating TPM, secure elements, and HSMs for device identity, key storage, measured boot, and remote attestation

• Design and implement secure firmware update mechanisms including signed updates, rollback protection, and verified delivery across the fleet

• Own the cryptographic key lifecycle for hardware-bound keys, including provisioning, rotation, revocation, and escrow

• Harden embedded Linux systems on vessel platforms, including kernel configuration, mandatory access controls, secure IPC, and attack surface reduction

• Secure operational technology protocols and interfaces used in vessel control systems, propulsion, navigation, and sensor fusion including CAN bus, NMEA, and maritime/industrial communication protocols

• Define security boundaries, trust zones, and segmentation strategies for vessel-internal compute and communication architectures

• Drive threat modeling across vessel hardware subsystems and translate findings into actionable engineering requirements

• Produce secure-by-design reference architectures and define hardware and firmware security standards, testing requirements, and acceptance criteria integrated into engineering workflows

Required Qualifications:

• 6+ years of hands-on experience in hardware security, embedded systems security, firmware security, or a closely related security engineering role

• Deep expertise in hardware hacking techniques including fault injection, side-channel attacks, JTAG/SWD exploitation, bus sniffing/injection, and physical security assessments

• Demonstrated experience designing and implementing secure boot chains, hardware root of trust, and secure firmware update mechanisms in production systems

• Strong experience assessing third-party hardware integrations and evaluating supply chain security risks

• Deep knowledge of embedded Linux security hardening, kernel security, and mandatory access control frameworks

• Experience with operational technology security, industrial protocols, or control system security

• Proficiency in C, C++, Python, or Rust in the context of firmware, embedded, or systems-level security work, and with hardware security testing tools

• Ability to obtain and maintain a security clearance

Preferred Qualifications:

• Experience in defense, aerospace, robotics, autonomy, maritime, or other high-assurance environments

• Experience with autonomous systems, unmanned vehicles, or safety-critical embedded platforms

• Experience with RTOS, microcontroller security, or resource-constrained device environments

• Knowledge of CAN bus, NMEA protocols, maritime communication systems, RF/GPS/GNSS security, or ICS security standards

• Familiarity with defense or safety-critical compliance frameworks (NIST SP 800-53, IEC 62443, Common Criteria, or equivalent)

• Relevant certifications such as OSEE, GXPN, GSE, or hardware-focused credentials

XML job scraping automation by YubHub

You will define, evolve, and implement SystemC modeling standards and virtual platform architectures for complex embedded and SoC-based systems. You will also architect and develop SystemC/TLM2.0 models, integrating C++ models for CPUs, interconnects, memories, and peripherals within the Virtualizer environment.

Your responsibilities will include customizing and configuring Virtualizer platforms to support early firmware, bootloader development, and Linux/RTOS bring-up and debugging. You will optimize virtual platforms for performance, scalability, and usability, integrating with debuggers, build systems, and CI pipelines.

You will drive advanced software debugging, conducting deep root-cause analysis across hardware models and software stacks, and implementing long-term fixes and improvements. You will utilize Python for Virtualizer automation, simulation orchestration, and test/regression frameworks.

You will conduct design and code reviews, mentor engineers, and foster technical excellence across teams. You will accelerate early software development and system validation for Synopsys' customers, enabling faster time-to-market for innovative products.

Our team is composed of experts in SystemC, C++, embedded software, and hardware architecture, working collaboratively to deliver high-impact solutions for global customers. Together, you will pioneer new technologies, set industry standards, and drive the future of system-level design and verification.

As a staff engineer, you will have the opportunity to shape the architectural direction of virtual platform solutions, ensuring their scalability, accuracy, and usability for complex SoC designs. You will mentor and uplift engineering teams, fostering a culture of technical excellence, collaboration, and continuous learning.

You will drive improvements in simulation workflows, debugging tools, and automation frameworks, enhancing productivity and reliability. You will contribute to Synopsys' leadership in semiconductor and embedded software innovation, impacting global industries from automotive to IoT.

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

XML job scraping automation by YubHub

At ADAM Audio, our commitment to excellence and cutting-edge engineering drives our mission to deliver ground-breaking solutions to our customers. As an Embedded Software Engineer, you will be collaborating closely with cross-functional and multi-cultural teams across the company and external partners, to define, prototype and develop products from early sketches on to market introduction and maintenance.

On a day-to-day basis, you'll be responsible for providing the firmware code for our hardware products, including evaluation of new technologies, debugging prototype hardware and ensuring your code is suitable for mass production and complies with latest market regulations (CE, FCC, CRA etc.). You'll have the opportunity to shape the direction of our embedded projects and you'll be involved in the project's lifecycles.

You'll be refining product specifications, producing innovative designs and solutions and engaging with a multi-discipline team. You'll be planning your activities, estimating your work and collaborating to meet deadlines and product requirements as well as working hands-on at functional prototypes and evaluation boards to debug and test electronic hardware designs with your code on it.

Individual and team development is important, and we'll support you as you look for ways to grow and improve your personal knowledge and skills. We'll also be looking for you to own and help improve our approach to embedded software engineering, including best practices, processes, and tools. There will also be opportunities to share knowledge and practices with all companies across the Focusrite group.

Responsibilities

• Collaborate with cross-functional teams to define, prototype and develop products
• Provide firmware code for hardware products
• Evaluate new technologies and debug prototype hardware
• Ensure code is suitable for mass production and complies with market regulations
• Shape the direction of embedded projects and participate in project lifecycles
• Refine product specifications and produce innovative designs and solutions
• Engage with multi-discipline teams and work hands-on at functional prototypes and evaluation boards

Requirements

• Expert experience with micro-controllers and audio DSP
• Mastery in low-level programming at ARM-based-microcontrollers (STM32, NXP, etc.) and RTOS
• Experience in C and modern C++ programming and common frameworks like Zephyr
• Experience in working at systems with hard real-time constraints
• Mastering a range of test equipment: oscilloscopes, logic analysers, bus analysers and audio analysers (Audio Precision)
• Experience with meeting compliance regulations and standards (CE, FCC, EMC, RED, LVD etc.) for USB-, wireless- and Ethernet-connectivity, and battery powered devices
• Experience with common Bluetooth and RF SoCs like Qualcomm, Airoha, Bestec etc.
• Experience with networking protocols and chips/modules for Ethernet, WiFi and BLE
• Strong ability to analyse and present trade-offs between cost, quality, and development time
• Hands-on problem-solving and debugging skills, including lab work (test equipment, soldering etc.)
• Excellent communication skills and ability to collaborate effectively with multi-disciplinary teams
• Good English language skills (spoken and written) and ideally good German language skills.

What we offer

• Flexible working hours for a better work-life balance
• A healthy mix of remote and office work
• A harmonious and appreciative working atmosphere
• Work on exciting projects in a unique industry as part of an international brand group
• Employee discounts, including on Focusrite, Novation and Sequential products
• Opportunities for professional development
• ADAM Audio bonus programme – our employees share in the company's joint success!
• Company pension scheme, ADAM Audio health programme, mental health first aiders, FeelGood Manager, Business Bike programme, regular staff events and much more.

XML job scraping automation by YubHub

ASIC Firmware Engineer, Modeling

Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $226K – $445K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.

About the Role

We are looking for an embedded engineer to help build firmware and associated modeling software for OpenAI’s in house AI accelerator. This role involves designing and developing drivers and functional models for a large array of HW components, writing high throughput and low latency firmware code, investigating bring-up and production issues.

Responsibilities

• Design and implement drivers for hardware peripherals, including those related to AI chips.

• Design and implement functional software models to simulate SoC uncore logic and enable FW testing against the model

• Design and implement low-latency and high throughput embedded SW to manage HW resources.

• Work with adjacent software and hardware teams to implement requirements, debug issues and shape future generations of the hardware.

• Collaborate with vendors to integrate their technologies within our systems.

• Bring up and debug firmware/driver on new platforms.

• Come up with processes and debug issues raised in the field.

• Set up monitoring, integration testing and diagnostics tools.

Qualifications

• 5+ years of experience working in embedded SW space.

• Ability to thrive in ambiguity and learn new technologies.

• Strong programming skills in C/C++ and/or Rust.

• Experience developing high throughput, low latency and multi-threaded code.

• Experience working with real time operating systems (RTOS).

• Experience developing hardware drivers and working with hardware

• Experience with HW/SW co-design

• Knowledge of common embedded protocols, e.g. UART, I2C, SPI, etc.

• Knowledge of microprocessor and common ARM architectures (e.g. AMBA) is a plus.

• Knowledge of PCIe, ethernet and other high BW communication protocols is a plus.

• Experience with GPUs or other compute hardware is a plus.

• Experience deploying large compute clusters is a plus.

_To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations._

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Consumer Products

Compensation

• $293K – $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Software Engineering Embedded team builds reliable, high-performance systems on custom hardware. We work closely with hardware engineers to design, optimize, and ship software that bridges cutting-edge devices and real-world constraints like memory, power, and latency. Our work spans early prototyping through product launch, ensuring that our embedded platforms are robust, efficient, and production-ready.

About the Role

As an Embedded Software Engineer, you will design, implement, and debug software for embedded devices. You’ll own low-level bring-up, write production C/C++ code, and partner closely with hardware teams to deliver reliable, high-performance systems.

We’re looking for engineers with deep embedded expertise, strong debugging skills, and a passion for building systems that perform under real-world conditions.

This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Design, implement, and debug software for embedded devices.

• Contribute to defining software requirements, interfaces, and test plans.

• Bring up and debug new boards.

• Analyze performance, memory, and power profiles and implement optimizations.

• Investigate field issues, perform root-cause analysis, and deliver robust fixes.

• Foster good software engineering practices.

You might thrive in this role if you:

• Have deep experience shipping embedded systems (around 10+ years).

• Are proficient in C and C++.

• Are familiar with embedded toolchains, operating systems, and debugging tools.

• Have experience with both rapid prototyping and scalable product development.

• (Nice to have) Have experience with Zephyr RTOS.

• (Nice to have) Have worked with networking/wireless stacks (BLE, Wi-Fi).

• (Nice to have) Have experience with robotic system bring-up or Linux kernel development.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Consumer Products

Compensation

• $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

Consumer Products Research prototypes the future of computing: we explore new modalities, interaction patterns, and system behaviors, then do the engineering required to make those ideas real in rigorous prototypes. The Neosensing team sits at the intersection of sensing, edge algorithms, and systems engineering. We build the end-to-end software that turns new signals into dependable capabilities—collection tooling and protocols, algorithm integration and evaluation hooks, and on-device loops that stay stable under real-world variability. We care deeply about software quality and iteration speed: clean interfaces, debuggability, observability, and performance under tight device constraints.

About the Role

As a Software Engineer on Consumer Products Research, you’ll sit at the boundary between algorithm development and shippable systems. You’ll work closely with algorithm engineers to translate prototypes into clean interfaces, reliable pipelines, and efficient on-device implementations—with strong attention to performance, observability, and real-world failure modes.

This is a software role first: we’re looking for someone who loves writing great code every day, takes pride in engineering craft, and is comfortable going deep enough into the algorithmic details to make the system work end-to-end.

This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Build and ship production software for sensing algorithms, translating algorithm prototypes into reliable end-to-end systems.

• Implement and own key parts of the Python shipping pipeline (integration surfaces, evaluation hooks, and quality/performance guardrails).

• Develop embedded/on-device software in an RTOS environment (e.g., Zephyr) and deploy models to device runtimes and hardware accelerators.

• Optimize real-time on-device perception loops (e.g., detection/tracking-style pipelines) for stability, latency, power, and memory constraints.

• Create data collection + instrumentation tooling to bring up new sensing modalities and accelerate iteration from prototype → dataset → model → device.

• Partner cross-functionally (algorithms, human data, firmware/hardware) to debug, profile, and harden systems against real-world variability.

You might thrive in this role if you:

• Love writing great software and want your work to sit close to novel sensing and edge algorithms.

• Understand algorithm behavior well enough to integrate, debug, and evaluate it—even if you’re not the primary model inventor.

• Have shipped production Python systems and care about clean interfaces, tests, and long-term maintainability.

• Enjoy embedded/on-device work and can debug across hardware, firmware, and higher-level application layers.

• Care about performance engineering and know how to profile and optimize under tight device constraints.

• Take ownership end-to-end and thrive in ambiguous, fast-moving, zero-to-one environments.

Bonus:

• Zephyr (or similar RTOS) experience.

• On-device ML deployment (NPU/GPU/DSP) and accelerator-aware profiling/optimization.

• Background in multimodal sensing, sensor fusion, or on-device perception.

• Experience building data collection systems and human-in-the-loop workflows (protocols, QA, metadata)

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences of our users and the broader community.

XML job scraping automation by YubHub

What you'll do

• Provide support to Synopsys's world-wide customers and field teams.
• Solve complex technical problems involving software running on ARC processors (firmware, libraries, applications).

What you need

• Written and spoken English communications skills (intermediate or higher).
• Excellent cross platform C/C++.

XML job scraping automation by YubHub

The program's goal is to encourage qualified researchers with overseas experience who have excelled in their fields through high-level science and technology-oriented research to come to Türkiye and contribute to projects that will be carried out in research areas of strategic importance for our country.

What you need

Applicants must meet at least one of the following requirements:

• To be on the "Top Cited Researchers List" published by Thomson Reuters in any year of the last 5 years.
• To have worked for a total of at least 30 months in institutions ranked in one of the following positions in the last 5 years:
• List of top 100 universities published by QS (Quacquarelli Symonds) or THE (Times Higher Education).
• List of top 2500 companies with the highest R&D spending in the world published by the European Commission Joint Research Centre:
• List of top 250 institutions in the health - higher education - public - private subfields published by Scimago Institutions Ranking
• List of most successful Start-Ups and Unicorn Companies receiving the highest investment.

XML job scraping automation by YubHub

XML job scraping automation by YubHub

What you'll do

In this role, you will be responsible for developing, implementing, and optimising embedded software in C/C++. You will also configure and work with an RTOS environment (e.g., Zephyr, FreeRTOS), implement and maintain communication interfaces such as SPI, I2C, CAN and USB, and support firmware–hardware integration in collaboration with hardware engineering teams.

What you need

To be successful in this role, you will need a Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field, or equivalent practical experience. You will also need 3+ years of experience in embedded software development, a solid understanding of embedded system fundamentals, including memory management, real-time considerations, and hardware interaction, and proficiency in C/C++ and familiarity with modern embedded development practices.

XML job scraping automation by YubHub