About the Role

We're seeking a Senior Software Engineer to architect our Acuity Scene System. This role is built at the intersection of game engine technology and large-scale simulation, requiring you to define the foundational 4D abstractions and Entity Component Systems that enable realistic, high-performance representation of multi-agent environments across air, ground, and maritime domains.

At Applied Intuition, you will:

• Architect Scene & Entity Systems: Design and implement core high-performance architectures, including Entity Component System frameworks, spatial indexing, and 4D object management for large-scale multi-agent simulations.
• Lead Technical Strategy & Integration: Drive architectural decisions and design seamless APIs that enable cross-domain integration for air, ground, and maritime autonomy stacks.
• Collaborate & Mentor: Act as a strong, social collaborator who proactively engages with other teams about technology. You must be willing to take on essential integration work for the Scene libraries while providing technical leadership and mentorship across the organization.
• Scale & Innovate: Optimize systems for massive scalability using modern agentic coding tools and AI-assisted workflows to maintain high code quality at speed.

We're looking for someone who has:

• 5 - 7+ years of professional software engineering experience with demonstrated expertise in complex systems
• Expert-level C++ programming skills with deep knowledge of modern C++ (C++20 or later), including template metaprogramming, move semantics, and performance optimization
• Proven experience with Entity Component System architectures or similar data-oriented design patterns
• Strong background in 3D/4D spatial systems, including coordinate transformations, spatial data structures, and geometric algorithms
• Deep understanding of software architecture and design patterns, particularly for high-performance, real-time systems
• Strong proficiency in Python and shell scripting for tooling and automation
• Experience with agentic coding tools (Cursor, Claude Code, GitHub Copilot) and AI-assisted development workflows

Travel Requirements:

• Must be willing to travel as projects requires; average travel varies, but can be up to once a month for up to 1 week (~20%)

Security Requirements:

• Must be a U.S. Citizen
• Must hold or be eligible to obtain and maintain a U.S. security clearance 

For more information about U.S. security clearances: click here.

Nice to have:

• Expertise with the Linux/Docker/C++ toolchains (including build systems like Nix and Bazel) and cross-compilation.
• Experience with temporal reasoning systems and 4D scene representation (space + time)
• Background in game development, simulation, or virtual environments
• Knowledge of physics engines and collision detection systems
• Understanding of autonomous systems or robotics software architectures

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $150,000 to $190,000 USD annually.

Job Description:

Position Overview:

• We are seeking a highly skilled and experienced Software Defined Vehicle (SDV)
• System Architect to join our team.
• The ideal candidate will play a pivotal role in designing and
• implementing the architecture for our next-generation software-defined vehicles.
• This role requires a deep understanding of automotive systems, software development, and system integration.

Key Responsibilities:

• Requirements Analysis: Analyze customer and stakeholder requirements and derive system constraints for finding optimized solutions for software-defined vehicle systems.
• Design: Develop and define overall system HLD for software-defined vehicle systems, ensuring key constraints like safety, security, privacy, regulatory compliance along with scalability, reliability, and performance in mind.
• Apply a data-driven approach in evaluating design alternatives considering futuristic mindset and document the decisions.
• Interface Development: Develop system interfaces for signal oriented or service-oriented Architectures using standard interface definition language (IDL) and create comprehensive API documentation.
• System Modeling: Model system components using SysML/UML tools.
• DFMEA: Own and craft DFMEAs through the standard development process.
• Support product/feature validation and failure root cause analysis.
• System Integration: Collaborate with cross-functional teams to integrate software with hardware components.
• Verification and validation: Ensure quality and reliability of software and hardware through rigorous testing and validation processes.
• Technical Leadership: Provide technical guidance and mentorship to engineers, ensuring best practices in software development and system design.
• Automation and Quality Measures: Champion automation of software and system quality measures at all stages – requirements, design, development, and integration – leveraging tools and techniques like TDD, Gherkin (BDD), TestRail, and Google Test.

Qualifications:

• Education: Bachelor’s or Master’s degree in computer science, Electrical or Electronics
• Engineering, Mechatronics, Robotics, or a related field.

Experience:

• Minimum of 8 years of experience in software architecture, system design, and integration within the automotive industry.
• 5 years of experience in Systems Engineering, preferably in the Automotive domain.
• 5 years of proven working experience in Software Engineering – embedded.
• 3 years of programming experience in C / C++ / Python.
• 3 years of work experience in Agile project involvement.
• Familiarity with ASPICE, ISO 26262, and SAE standards.
• Familiarity with connected vehicle distributed systems, embedded automotive development boards (Qualcomm, Renesas, NXP, etc.).
• Knowledge of SysML and modeling language/tools.
• Automotive domain experience in component-level system design and integration using automotive network technologies (LIN, CAN, Ethernet)
• Knowledge of AUTOSAR software stack, Android software stack, domain controller architecture, and software-defined architecture.
• Knowledge of communication protocols like MQTT, gRPC, SOME/IP.
• Experience with unit, integration, regression, user testing, and load testing.
• Exceptional analytical and problem-solving skills.
• Excellent leadership and interpersonal skills.
• Great collaboration and communication skills.

Preferred Qualifications:

• Experience in hands-on development and troubleshooting of embedded systems.
• Experience in functional safety and cybersecurity.
• Understanding of SOLID design principles and clean code practices.
• Experience with CI/CD tools and developing automation frameworks.
• Knowledge of service-oriented architecture concepts, and microservices architecture principles.

About the role

Applied Intuition is rapidly scaling its defense product ecosystem in Ann Arbor! We're looking for talented backend C++ engineers at all levels, who are ready to work on some of the hardest autonomy challenges in physical AI today.

You'll be a core contributor to Axion and Acuity, our flagship defense products, building the foundational systems that power multi-domain autonomous operations. This is not a maintenance role. You'll architect, implement, and own backend infrastructure that runs at the edge of what's technically possible, in environments where the stakes are real.

The A2 team sits at the intersection of Applied's commercial technology velocity and defense-grade requirements, giving you access to a rapidly evolving product suite and real world impact. You'll work in small, high-ownership teams where your code ships, your decisions matter, and your impact on national security is direct.

At Applied Intuition, you will:

• Design and implement high-performance backend systems in C++ for Axion and Acuity, Applied's core defense autonomy products
• Tackle hard autonomy challenges across multi-domain environments, from unmanned ground and aerial platforms to broader joint-force integration scenarios
• Build scalable, reliable infrastructure that enables autonomous systems to operate in contested and degraded conditions
• Partner closely with autonomy researchers, product teams, and defense customers to translate mission requirements into robust software solutions
• Own end-to-end execution of high-stakes engineering workstreams; architecture through deployment
• Contribute to the Ann Arbor site's rapid buildout, helping shape team culture, technical standards, and engineering practices as we scale
• Interface with DOD programs and defense customers to ensure solutions meet real-world operational demands

We're looking for someone who has:

• Professional software engineering experience, with strong C++ at the core
• Deep backend engineering fundamentals: systems programming, concurrency, performance optimization, and distributed systems
• Genuine interest in autonomy, robotics, or physical AI; you want to understand how your code connects to machines operating in the real world
• Exposure to or curiosity about multi-domain defense systems - you don't need a defense pedigree, but you're excited to develop one
• Strong CS/CE/EE (or similar) foundation; you think rigorously about correctness and performance
• Python proficiency for tooling, scripting, and integration work
• Thrives in ambiguity & comfortable driving clarity and progress in fast-moving, high-stakes environments
• Excellent communication skills; you can explain hard technical tradeoffs to both engineers and non-technical stakeholders

Security Requirements:

• Must be a U.S. Citizen
• Must hold or be eligible for a U.S. Secret security clearance

For more information about U.S. security clearances: click here.

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $100,000 - $200,000 USD annually.

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Coordinate and refine control algorithms for state-of-the-art electric vehicle thermal management systems.
• Perform calibration of thermal and climate functionality to deliver optimal performance for the customer and vehicle.
• Ensure that thermal management systems meet industry standards and regulatory requirements for safety, performance, and environmental impact.
• Collaborate with cross-functional teams to integrate calibration solutions into the overall vehicle architecture.
• Conduct thorough testing, validation, and optimization of control algorithms.
• Participate in calibration development trips.
• Lead issue resolution for thermal calibration and/or software issues.

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Novi, Michigan.
• This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor’s or master’s degree in mechanical engineering, automotive engineering, electrical engineering or a related field.
• 5+ years of experience in high voltage battery controls system development, preferably in the automotive or energy storage industry.
• Proficiency in control theory, algorithm development, and simulation tools.
• Experience in calibration tools and methodologies.
• Strong programming skills in languages like C, C++, or Python.
• Experience with thermal management systems and associated hardware.
• Knowledge of communication protocols (CAN, LIN) and hardware interfaces.
• Familiarity with safety standards and regulations pertaining to battery technology.
• Excellent problem-solving skills and ability to work in a dynamic, collaborative environment.
• Ability to be self-sufficient with minimal direction to meet customer deliverables.
• Strong interpersonal skills to interface with colleagues and suppliers around the world
• Ability to read, interpret and generate engineering drawings and specifications.
• Minimum of High School Diploma, GED or equivalent required for all roles at Scout Motors, Inc.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $110,000.00 - $135,000.00

Internal leveling code: IC9

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Coordinate and refine control algorithms for state-of-the-art battery management systems (BMS) to monitor cell voltage, temperature, and state of charge (SOC) for efficient energy utilization and safety.
• Perform calibration of BMS functionality to deliver optimal performance for the customer and vehicle
• Ensure that battery control systems meet industry standards and regulatory requirements for safety, performance, and environmental impact.
• Utilize modeling and simulation tools to validate control system designs and predict performance under various operating conditions.
• Collaborate with cross-functional teams to integrate battery control systems into the overall vehicle architecture.
• Conduct thorough testing, validation, and optimization of control algorithms.
• Participate in calibration development trips.

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Novi, Michigan.
• This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor’s or master’s degree in mechanical engineering, automotive engineering, electrical engineering or a related field.
• 5+ years of experience in battery controls system development, preferably in the automotive or energy storage industry.
• Proficiency in control theory, algorithm development, and simulation tools.
• Experience in calibration tools and methodologies.
• Strong programming skills in languages like C, C++, or Python.
• Familiarity with battery management systems (BMS) and associated hardware.
• Knowledge of communication protocols (CAN, LIN) and hardware interfaces.
• Familiarity with safety standards and regulations pertaining to battery technology.
• Excellent problem-solving skills and ability to work in a dynamic, collaborative environment.
• Ability to be self-sufficient with minimal direction to meet customer deliverables.
• Strong interpersonal skills to interface with colleagues and suppliers around the world
• Ability to read, interpret and generate engineering drawings and specifications.
• Minimum of High School Diploma, GED or equivalent required for all roles at Scout Motors, Inc.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $110,000.00 - $135,000.00

Internal leveling code: IC9

About the role

At Applied Intuition, you will:

• Develop, integrate, and adapt cutting-edge AI/ML algorithms running on the perception autonomy stack to collect relevant information across a suite of platform sensors
• Create interfacing software to autonomously control sensors (e.g., EO, IR, acoustics, radar, and RF)
• Collaborate across the sensor, tracking, and autonomy teams to ensure seamless deployment of heterogeneous platform swarms in on-site DoD testing and demonstration events
• Deploy containerized solutions to embedded Linux devices, leveraging computer-in-the-loop testing and profiling, and efficiently collecting performance data
• Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience
• Work closely with our existing team to internally triage technical problems and scope
• Carefully communicate and document ongoing work to ensure internal flexibility in a fast paced environment as well as clarify progress with external customers
• Drive execution of simulation tooling to playback sensors, platforms, and autonomy in post processing field test analysis
• Implement improvement plans for future integration efforts based on simulation analysis and customer feedback

We're looking for someone who has:

• MS or PhD in Electrical Engineering, Computer Engineering, Robotic Engineering, Computer Science, Optimization, or equivalent OR 5+ years of relevant experience working with sensor algorithms, hardware, and HIL software integration
• Experience with multiple sensor modalities (e.g., EO, IR, lidar, radar, sonar, acoustics, etc.)Core understanding of sensor physics and sensor control parameters
• Experience training and deploying ML algorithms (python, pytorch, tensorflow) onto integrated systems (onnx, C++ models)
• Familiarity with tracking basics (e.g., Kalman filters) and optimal sensor fusion
• Experience working comfortably in Linux and Docker
• Prior experience with remote software development, ability to handle and process large datasets, and learn new software and algorithms as needed with little supervision

Travel Requirements:

• Must be willing to travel as projects requires, usually for SW/HW integration and/or demonstrations; estimated average travel is every 1-2 months for 2-5 days (10-20%)
• Travel-adverse candidates are encouraged to inquire about relocation assistance to HQ in Poway, CA

Security Requirements:

• Must be a U.S. Citizen
• Must hold or be eligible to obtain and maintain a U.S. security clearance

For more information about U.S. security clearances: click here.

Nice to have:

• Proficiency with modern C++ development (2011, 2017, 2020, smart pointers, etc.), CMAKE, Python and Bash
• PhD in computer science or electrical engineering with AI/ML focus
• Experience with robotic swarm or multi-agent systems and optimization   
• Strong tracking and sensor fusion background
• Current U.S. SECRET security clearance

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $140,000 to $220,000 USD annually.

About the role

At Applied Intuition, you will:

• Develop Core Framework Software: Design and implement high-performance C++ systems that form the foundation of collaborative autonomy behaviors in multi-domain environments
• Enable Collaborative Autonomy: Develop software that allows multiple autonomous agents to coordinate and collaborate across different operational domains
• Support Multidisciplinary Teams: Work closely with autonomy engineers, product managers, and customers to understand requirements and deliver solutions
• Leverage Modern Development Tools: Heavily utilize agentic coding tools and AI assistants to accelerate development and improve code quality
• Optimize Performance: Profile, debug, and optimize code for real-time performance in resource-constrained environments
• Automate Workflows: Create scripts and tools to improve development velocity and testing efficiency

We're looking for someone who has:

• 2+ years of professional software engineering experience
• Strong C++ programming skills with experience in modern C++ (C++20 or later)
• Experience with Python and shell scripting for automation and tooling
• Proficiency with agentic coding tools such as Cursor, Claude Code, GitHub Copilot, or similar AI-assisted development tools
• Strong understanding of software design patterns, data structures, and algorithms
• Experience with version control systems (Git) and collaborative development workflows
• Ability to work effectively in a fast-paced, collaborative environment
• Strong problem-solving skills and attention to detail
• Excellent written and verbal communication skills

Travel Requirements:

• Must be willing to travel as projects require, usually for SW/HW integration and/or demonstrations; estimated average travel is 2-5 days every other month (10-20%)

Security Requirements:

• Must be a U.S. Citizen
• Must hold or be eligible for a U.S. Secret security clearance

For more information about U.S. security clearances: click here.

Nice to have:

• Experience with autonomous systems, robotics, or real-time control systems
• Familiarity with distributed systems and multi-agent coordination
• Knowledge of network programming and inter-process communication (IPC)
• Experience with build systems (CMake, Bazel) and CI/CD pipelines
• Understanding of software testing methodologies and frameworks
• Background in defense systems, aerospace, or maritime applications
• Experience with data serialization formats (Protocol Buffers, FlatBuffers, Cap'n Proto)
• Experience with containerization technologies (Docker, Kubernetes)
• Contributions to open-source projects

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $125,000 to $175,000 USD annually.

About the role

As a Path Planning engineer at Applied, your role is pivotal. Your work will involve developing, integrating, and testing core path planning capabilities that span all classes of aerial platforms (Group 1-5). You'll work closely with teams across the entire company to integrate core GNC algorithms into their software and product stacks, supporting applications in both commercial and defense spaces. The challenge is profound, and the rewards are immeasurable, as you build superior systems that empower our military with unrivaled capabilities.

At Applied, you will:

• Write software that operates real autonomous aircraft systems including fighter aircraft, maritime surface vessels, group 1-5 unmanned aerial vehicles (UAVs), as well as simulated models to accomplish tactical military missions
• Build, leverage, and improve aerial autonomy software architectures that are ultimately tested and deployed on real systems to accomplish military missions
• Collaborate with DoD warfighter domain experts and 3rd party UAS vehicle vendors to develop and integrate aerial autonomy software onto OEM hardware

We're looking for someone who has:

• 3-5 years of professional experience in autonomous vehicle motion planning, robotics, or a related field.
• Experience in 3D+ path planning using sampling based methods such as RRT* or similar.
• Experience in 2/2.5D grid based planning methods such as A* or similar.
• Experience developing autonomy algorithms in either C++ or Python
• Experience developing or implementing outer-loop control systems
• Strong functional, procedural, data-oriented, and object-oriented programming experience
• Experience using git, Visual Studio Code, GitLab

Travel Requirements:

• Must be willing to travel as projects requires; estimated average travel is once every other month for between 2 days up to 1 week (~20%)

Security Requirements:

• Must be a U.S. Citizen
• Must hold or be eligible for a U.S. Secret security clearance

For more information about U.S. security clearances: click here.

Nice to have:

• Experience with UAS GNC/navigation systems such as PX4 and Ardupilot
• Ability to use data visualization and debugging tools to support autonomy control development
• Experience developing in Docker and containerized development environments, using Linux-based operating systems (e.g., RHEL, Ubuntu), source control systems, and artifact registries

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $150,000 - $190,000 USD annually.

About the Role

We are looking for a Perception Team Lead who will lead a team in developing Perception pipelines for multiple modalities (EO/IR, Radar, with growth paths into Acoustics, Passive RF, and Sonar). The software will be deployed in the real world for government and defense applications. This position will help the team execute effectively through technical guidance, mentoring, collaboration with other peer teams, integration into broader systems, and using best practices for designing and building software systems. You will be responsible for maintaining and executing the technical roadmap for the Perception pipelines as well as a Perception Autonomy service, which is responsible for a number of perception-related behaviors (e.g., camera scanning, slew and cue, object following, dynamic EMCON modes, multi-track custody, track handoff between sensors, etc.).  Please note that this role does not include training ML models; instead, it will be responsible for integrating pre-trained models into these pipelines.

At Applied, you will:

• Manage a team of talented software engineers working together on exciting perception and perception autonomy projects.
• Oversee and contribute to the development of perception pipelines utilizing EO/IR and Radar sensor modalities, with potential of moving into perception pipelines for Acoustics, Passive RF, and Sonar sensors.
• Oversee and contribute to the Perception Autonomy service, which includes a growing number of behaviors, such as camera scanning, slew and cue, object following, dynamic EMCON modes, multi-track custody, and track handoff between sensors.
• Lead the development and incorporation of pre-trained models (produced by a separate team) into production Perception pipelines.
• Ensure your team delivers high quality, robust software that can fulfill project requirements for real-world deployment on hardware components.
• Work closely with partners and internal teams to ensure success on project milestones, and seamless integration with peer teams platforms.
• Manage and track multiple priorities while maintaining a focus towards common project goals.

We're looking for someone who has:

• MS in computer science, ML, robotics, or related fields from a top institution.
• 8+ years industry experience in Perception-related fields (e.g., ATR, ML).
• 2+ years experience in leading teams with varied backgrounds.
• Experience with deploying software to hardware components with rigorous verification and validation.
• Experience with perception pipelines using real-time data from Radar and EO/IR systems.
• Deep technical understanding of production-level development in C++ and/or Python for integrating object detector, classifier, and few-shot models (ATR models).
• Experience with designing and working with autonomous systems, particularly in off-road, maritime, or aerospace applications.

Nice to have:

• PhD in a Perception, Robotics, or CS related field.
• Hands-on experience in deploying autonomy in the real world.
• Deep experience in both hardware and software aspects of robotics and sensor systems.
• Competence in signal processing, linear algebra, machine learning, radar, optics, photonics, or electro-optics.
• Active U.S. SECRET clearance preferred

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $175,000 to $210,000 USD annually.

About the role

We are looking for bright engineers interested in designing elegant solutions to difficult problems for our defense customers. In this role, you will predominantly support our defense business units, focusing on the Axion and Acuity product lines.

Our software engineers work across our suite of products, tackling difficult full-stack, infrastructure, robotics, and computer vision problems. At Applied Intuition, we encourage engineers to take ownership over technical and product decisions, interact closely with defense stakeholders to collect feedback, and contribute to a mission-driven team culture.

At Applied Intuition, you will:

• Develop and scale Axion and/or Acuity products to support mission-critical defense autonomy workflows.
• Work across our entire stack to build new features for off-road navigation, sensor fusion, and mission planning.
• Have an unparalleled opportunity to work with domain experts across a variety of fields: robotics engineers, computer vision specialists, and defense industry veterans.
• Collaborate directly with the warfighter and allies to understand operational requirements and deploy software to the edge.
• Carve out your own area of expertise and influence the product roadmap for our defense business unit.

We're looking for someone who has:

• 2+ years of experience shipping complex, high-reliability software.
• Demonstrated ability to be a self-starter and can quickly become comfortable with new technical tools.
• Designed efficient and effective solutions to a wide range of engineering challenges (e.g., real-time systems, data pipelines, or complex UI/UX).
• Proven ability to take initiative in a fast-paced environment.

Travel Requirements

• Occasional travel required (approx. 10–20%) for demonstrations, integration, or customer engagement

Security Clearance

• Must be a U.S. Citizen
• Must be eligible for a U.S. SECRET clearance with Special Access Program (SAP) eligibility

Nice to have:

• Working knowledge of frontend, API layer, containerization, or cluster orchestration frameworks (such as React, GraphQL, Docker, or Kubernetes).
• Experience with robotics middlewares (such as ROS/ROS2) or military-specific standards (e.g., JAUS, UCS).
• Experience modeling physical problems, sensor simulation, or working with geospatial data.
• Prior experience working on Department of Defense projects or in a regulated environment.

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $125,000 to $190,000 USD annually.

About the role

As a Software Engineer, you’ll develop, deploy, and maintain the backbone of all-domain autonomy capabilities, from inter-agent communications to hardware and simulation interfaces. Integration with new vehicles and hardware is a critical function. This position requires both field and office-based work, with significant time spent deploying and testing software on autonomous vehicles in real-world environments.

At Applied Intuition, you will:

• Systems Engineering: Develop, deploy, and validate software systems on autonomous vehicles, focusing on robotics, sensors, and vehicle autopilots
• Field Deployment & Testing: Participate in hands-on fieldwork, deploying software on vehicles and ensuring proper functionality in dynamic, real-world environments
• Interfacing with Sensors and Autopilots: Work directly with sensors (e.g., RADAR, cameras, GPS, SONAR) and vehicle autopilot systems, integrating them into the autonomous vehicle framework
• Perception & Autonomous Modules: Work with the Perception and Autonomy teams to deploy and optimize perception pipelines (Vision, Radar, Fusion) and vehicle autonomy SW, ensuring robust and safe vehicle operation
• Communication Systems: Address inter-vehicle communication, ensuring seamless data exchange between vehicles for collaborative autonomous operations
• Third-Party Software Integration: Interface with and integrate third-party software and APIs into our systems
• Software Quality & CI/CD: Work on software integration, Continuous Integration/Continuous Deployment (CI/CD) processes, and implement system-related improvements to enhance system performance and reliability
• Simulation & Testing: Leverage simulation environments to test vehicle systems, validating software behavior in various scenarios before field deployment
• Collaboration & Documentation: Collaborate with cross-functional teams, including software engineers, data scientists, and field operators, to ensure the successful deployment of systems. Document processes and provide updates on system status and improvements

We’re looking for someone who has: 

• BS, MS or PhD in Robotic Engineering, Computer Science, Computer Engineering, Optimization, or equivalent OR 3+ years of relevant experience designing multi-agent autonomy
• Strong proficiency in Linux and command-line tools
• Strong proficiency in Python and/or C++ (most work is in C++)
• Hands-on experience with robotic systems, sensors (such as RADAR, cameras, radar), and vehicle autopilots (e.g., PX4, ROS)
• Experience with CI/CD tools such as Jenkins, GitLab, or similar tools for automating deployments and testing
• Knowledge of communication protocols for inter-vehicle communications (e.g., DDS, UDP, ROS2, etc.)
• Experience in integrating third-party software and APIs

Travel Requirements:

• Must be willing to travel as projects requires; average travel varies, but can be up to once a month for up to 1 week (~25%)

Security Requirements:

• Must be a U.S. Citizen
• Must hold or be eligible to obtain and maintain a U.S. security clearance 

For more information about U.S. security clearances: click here. 

Nice to have:

• Ability to work in field environments, troubleshooting, testing, and deploying systems in challenging conditions
• Excellent communication skills, both written and verbal, with the ability to document processes and communicate technical concepts to cross-disciplinary teams
• Ability to work in a fast-paced, evolving environment, as well as working under challenging conditions in remote or field locations
• Familiarity with maritime vessels and/or airborne drones

About the Role

Applied is seeking a Software Engineer with strong foundations in algorithmic optimization and multi-agent systems. You’ll tackle complex computational challenges in our real-time decision-making platform, designing and implementing advanced algorithms that push the boundaries of autonomous coordination and planning. We seek motivated engineers driven by core mission values to join our Acuity Autonomous Behaviors and Agents engineering team focused on next-generation human-machine teaming and real-time decision-making systems. You’ll help build intelligent agents that plan and execute missions using advanced reasoning, planning, and optimization algorithms. Our work spans real-time scenarios, heterogeneous platforms (air, space, land, surface, sub-surface), and software that integrates seamlessly with human operators. If you thrive in fast-moving, mission-oriented environments and love building autonomy that help our warfighters, this is your role.

Your work will support our Axion and Acuity family of systems, enabling breakthrough capabilities in human-machine teaming across all domains. If you’re passionate about applying cutting-edge algorithms to solve mission-critical coordination problems, this role offers exceptional opportunities to advance the state of the art in autonomous decision making systems.

At Applied, you will:

• Design and implement multi-agent optimization algorithms for distributed decision-making and coordination problems 
• Develop temporal logic frameworks and constraint-satisfaction algorithms for complex planning scenarios
• Create mathematical models for sequential decision process under uncertainty with probabilistic outcomes 
• Build computational frameworks that balance algorithmic efficiency with human-interpretable reasoning
• Implement and evaluate quantitative metrics for algorithm performance, solution quality, and computational efficiency
• Translate theoretical approaches into production-ready software implementations with rigorous testing methodologies
• Collaborate with cross-disciplinary teams to refine algorithmic approaches based on empirical evaluation
• Communicate technical details effectively across stakeholders, sponsors, and leadership

We’re looking for someone who has:

• BS or MS in Computer Science, Software Engineering, Robotics, or a related technical field, OR 5+ years of professional experience developing intelligent agents or planning systems.
• 5+ years of hands-on experience developing performant modern C++ (we use C++ 20).
• Strong theoretical understanding and practical experience implementing algorithms for constraint satisfaction, scheduling, and optimization problems.
• Demonstrable skill in analyzing, visualizing, and optimizing algorithm performance and solution quality.
• Proficiency with Bazel in Docker-based Linux environments.
• Strong procedural and object-oriented programming experience that employs clean code principles and good OOP design patterns/principles.
• Experience developing in Docker and containerized development environments, and using Linux-based operating systems (e.g., RHEL, Ubuntu).
• Understanding of Service-oriented Architecture and message broker vs data broker paradigms.
• Experience using git, Visual Studio Code, GitLab, SonarQube, and Artifactory or Azure Container registry.
• Ability to translate complex mathematical concepts into clear technical documentation and communicate complex software designs.
• Strong critical thinking skills, methodical approach to algorithm development and validation, and ability to thrive in a dynamic, fast-paced environment.
• Excellent analytical, communication, and documentation skills with demonstrated ability to collaborate across multiple teams.
• Passion for solving complex problems with little supervision in a fast-moving team.
• Ability to balance multiple priorities in a fast-paced, highly collaborative, frequently changing, and sometimes ambiguous environment.

Travel Requirements:

• Occasional travel required (approx. 10–20%) for demonstrations, integration, or customer engagement

Security Clearance

• Must be a U.S. Citizen
• Must be eligible for a U.S. SECRET clearance with Special Access Program (SAP) eligibility

Nice to have:

• Advanced degree (MS+) in algorithms, computational optimization, or autonomous systems, OR 5+ years building autonomous decision systems.
• Expertise in advanced planning paradigms (e.g., PDDL, HTN planning, Monte Carlo tree search), temporal reasoning, formal verification, or symbolic planning.
• Experience with game theory for multi-agent coordination or negotiation protocols.
• Familiarity with real-time optimization under hardware/edge constraints.
• Background in Battle Management Command and Control (BMC2) or defense applications.
• Master’s degree in computer science/related engineering field.
• 7+ years developing software in C++ (C++ 2017)
• Proficient with build tools like Conan and Bazel.
• Experience on national security projects for government agencies.
• Interdisciplinary background with a focus on continual learning.

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $150,000 to $200,000 USD annually.

The Role 

We’re seeking an exceptional Application SW Engineer to join our Application Engineering org, focused on localising and advancing Wayve’s autonomous driving technology for the US market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in the US from the ground up.

In this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.

Responsibilities:

• Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
• Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
• Integrate and validate drivers, middleware, and boot-time configurations.
• Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
• Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
• Implement system-level diagnostics, logging, and secure boot configuration.
• Develop automation for setup, flashing, health checks, and test execution on target hardware.

About you 

In order to set you up for success as an Application Software Engineer at Wayve, we’re looking for the following skills and experience.  

Essential 

• 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
• Strong proficiency in C/C++, Bash, and Python.
• Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
• Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
• Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
• Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
• Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
• Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.

Desirable 

• Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
• Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
• Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
• Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.

This role is a full-time role based in Sunnyvale or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to $298,200 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.  

The Role 

We’re seeking an exceptional Application SW Engineer to join our Application Engineering org, focused on localising and advancing Wayve’s autonomous driving technology for the US market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in the US from the ground up.

In this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.

Responsibilities:

• Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
• Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
• Integrate and validate drivers, middleware, and boot-time configurations.
• Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
• Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
• Implement system-level diagnostics, logging, and secure boot configuration.
• Develop automation for setup, flashing, health checks, and test execution on target hardware.

About you 

In order to set you up for success as an Application Software Engineer at Wayve, we’re looking for the following skills and experience.  

Essential 

• 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
• Strong proficiency in C/C++, Bash, and Python.
• Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
• Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
• Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
• Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
• Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
• Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.

Desirable 

• Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
• Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
• Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
• Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.

This role is a full-time role based in Sunnyvale or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to $298,200 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.  

About the role

As an AcuityOS engineer, you’ll develop, deploy, and maintain the backbone of all-domain autonomy capabilities, from inter-agent communications to hardware and simulation interfaces. Integration with new vehicles and hardware is a critical function. This position requires both field and office-based work, with significant time spent deploying and testing software on autonomous vehicles in real-world environments.

At Applied Intuition, you will:

• Systems Engineering: Develop, deploy, and validate software systems on autonomous vehicles, focusing on robotics, sensors, and vehicle autopilots
• Field Deployment & Testing: Participate in hands-on fieldwork, deploying software on vehicles and ensuring proper functionality in dynamic, real-world environments
• Interfacing with Sensors and Autopilots: Work directly with sensors (e.g., RADAR, cameras, GPS, SONAR) and vehicle autopilot systems, integrating them into the autonomous vehicle framework
• Perception & Autonomous Modules: Work with the Perception and Autonomy teams to deploy and optimize perception pipelines (Vision, Radar, Fusion) and vehicle autonomy SW, ensuring robust and safe vehicle operation
• Communication Systems: Address inter-vehicle communication, ensuring seamless data exchange between vehicles for collaborative autonomous operations
• Third-Party Software Integration: Interface with and integrate third-party software and APIs into our systems
• Software Quality & CI/CD: Work on software integration, Continuous Integration/Continuous Deployment (CI/CD) processes, and implement system-related improvements to enhance system performance and reliability
• Simulation & Testing: Leverage simulation environments to test vehicle systems, validating software behavior in various scenarios before field deployment
• Collaboration & Documentation: Collaborate with cross-functional teams, including software engineers, data scientists, and field operators, to ensure the successful deployment of systems. Document processes and provide updates on system status and improvements

We’re looking for someone who has: 

• MS or PhD in Robotic Engineering, Computer Science, Computer Engineering, Optimization, or equivalent OR 5 years of relevant experience designing multi-agent autonomy
• Strong proficiency in Linux and command-line tools
• Strong proficiency in Python and/or C++ (most work is in C++)
• Hands-on experience with robotic systems, sensors (such as RADAR, cameras, radar), and vehicle autopilots (e.g., PX4, ROS)
• Experience with CI/CD tools such as Jenkins, GitLab, or similar tools for automating deployments and testing
• Knowledge of communication protocols for inter-vehicle communications (e.g., DDS, UDP, ROS2, etc.)
• Experience in integrating third-party software and APIs

Travel Requirements:

• Must be willing to travel as projects requires; average travel varies, but can be up to once a month for up to 1 week (~25%)

Security Requirements:

• Must be a U.S. Citizen
• Must hold or be eligible to obtain and maintain a U.S. security clearance 

For more information about U.S. security clearances: click here. 

Nice to have:

• Ability to work in field environments, troubleshooting, testing, and deploying systems in challenging conditions
• Excellent communication skills, both written and verbal, with the ability to document processes and communicate technical concepts to cross-disciplinary teams
• Ability to work in a fast-paced, evolving environment, as well as working under challenging conditions in remote or field locations
• Familiarity with maritime vessels and/or airborne drones

Meet our software engineers!

About the role

At Applied Intuition, you will:

• Work across our entire stack to develop new products, features, and tools for our customers' autonomy development workflows
• Have an unparalleled opportunity to work with domain experts across a variety of fields: infrastructure, robotics, and graphics engineers, as well as startup veterans
• Carve out your own area of expertise and influence product decisions
• Collaborate with other members in the autonomy ecosystem and learn about different approaches to solving core issues in autonomy

We're looking for someone who has:

• 4+ years of experience shipping complex software
• Demonstrated ability to be a self-starter and can quickly become comfortable with new technical tools
• Designed efficient and effective solutions to a wide range of engineering challenges
• Proven ability to take initiative in a fast-paced environment
• US citizenship and eligibility for security clearance.

Nice to have:

• Working knowledge of frontend, API layer, containerization, or cluster orchestration frameworks (such as React, GraphQL, Docker, or Kubernetes)
• Experience working with simulation tools, modeling physical problems, or using robotics middlewares (such as ROS)
• Experience writing Python, C++, Javascript, or Golang

Basic Qualifications  

• Bachelor’s degree or higher in Computer Science, Electrical Engineering, or related field, Master's degree preferred.  
• Minimum 5 years of experience in BSW SoC design, with a focus on automotive applications.   
• Proven experience in embedded systems development with a focus on SOC integration and BSP development.  
• Proficiency in C/C++ programming languages and familiarity with embedded software development tools and methodologies.  
• Strong understanding of SOC architectures, peripheral interfaces (e.g., UART, SPI, I2C), and device drivers.  
• Experience with embedded operating systems such as Linux, FreeRTOS, or RTOS.  
• Familiarity with version control systems (e.g., Git), build systems (e.g., Make, CMake), and debugging tools (e.g., JTAG, GDB).  
• Excellent problem-solving skills, attention to detail, and ability to work effectively in a collaborative team environment.  
• Effective communication skills and ability to articulate technical concepts to both technical and non-technical stakeholders.  
• Experience with hands-on HW bring up and HW debug with lab instruments such as power supply, multi-meter, oscilloscope etc.

Preferred Qualifications  

• Experience with SOC architecture from vendors such as Renesas, TI, Intel, or Qualcomm.  
• Familiarity with security protocols and techniques for securing embedded systems.  
• Experience with continuous integration (CI) and continuous deployment (CD) pipelines for embedded software development.  
• Experience with Autonomous Driving and IVI software architecture.  

Job Summary

The Software Development Engineer II position is the individual contributor intermediate level position in the software engineering series. Under moderate supervision, the incumbent will support all software aspects of the development and design of products and product improvements of moderate difficulty requiring the use of some independent judgment. Incidental to these design efforts, the Software Development Engineer II will work both independently and as part of a team to develop creative solutions based on requirements from specific customers or general market requirements. 

Responsibilities

• Identify where product features interfere with usability or maintainability
• Understands and follows product development processes
• Create introductory installation for small applications and utilities
• Integrate software components into existing build
• Develops using software best practices to ensure implementation quality
• Adds component to the repository
• Reproduces and defines boundaries of defect, suggest causes or dependencies
• Can retrieve and review project documentation in EPO
• Ability to work with code that is object oriented, modular, and readable
• Using source control tools and complier
• Working knowledge of assemblies
• Ability to understand and run previously written scripts and modify as required
• Knowledge or familiarity of architecture within product
• Ability to understand and run unit test previously written and modify as required
• Implementing specific user interface detail
• Other duties as assigned by manager.

Qualifications

• Experience with C++ and C# software development
• BS Degree in Software Engineering/Science or comparable preferred
• 2-5 years of software experience
• Tactical group written/verbal communication to peers/management
• Works within framework of identified organizational strategy
• Work as directed with Senior level personnel/managers
• Meets 100% of Development Engineer (Software) Level II Competency Profile
• Must be eligible to obtain passport
• Demonstrates a willingness to collaborate with others, build relationships, and involve others in decision making.
• Demonstrates the ability to deliver results by solving or supporting others in solving problems, prioritizing tasks, and/or resources, and focusing on outcomes.
• Demonstrates self-awareness and the willingness to learn and grow, accept changes, and effectively adapt to changing work demands.
• Demonstrates the ability to drive customer value through knowledge of the business, putting effort into identifying customer needs, and delivering work to maximize the value for customers.
• Demonstrates a willingness to promote the value of improvement and innovation by staying ahead of trends, creating ideas and opportunities, and generating speed.
• Demonstrates a willingness to take ownership by making decisions, taking responsibility, and driving things forward.

Essential Job Functions

• Must be able to travel by air
• Occasional overseas travel for extended periods required
• Occasional Domestic Travel required
• Must be able to sit for extended periods of time
• Must be able to communicate effectively in English
• Must be able to lift 25 lbs.
• Regular and on-time attendance.
• This is a hybrid position unless otherwise specified requiring 3 days in the office.

Perks & Benefits

Phoenix Contact offers a generous benefits package that includes medical, dental, and vision coverage, 401k matching, and a generous time off package. There are also a wide variety of additional benefits available including on-site gym, 16 weeks fully paid maternity leave & 10 weeks fully paid paternity leave, life insurance, short & long-term disability, tuition assistance, and more!

#LI-DZ1

The role 

We’re seeking an exceptional Software Integration Engineer to join us on a contract basis within the Application Software team in Detroit, focused on localising and advancing Wayve’s autonomous driving technology.

In this role, you’ll be responsible for the bring-up and validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.

Key responsibilities:

• Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
• Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
• Integrate and validate drivers, middleware, and boot-time configurations.
• Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
• Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
• Implement system-level diagnostics, logging, and secure boot configuration.
• Develop automation for setup, flashing, health checks, and test execution on target hardware.

About you  

In order to set you up for success at Wayve, we’re looking for the following skills and experience.  

• 5+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
• Strong proficiency in C++, Bash, and Python. 
• Proven experience with using and modifying Middlewares like OpenDDS, comm protocols utilizing gRPC or similar
• Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
• Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
• Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
• Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
• Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
• Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.

Desired 

• Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
• Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
• Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
• Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.

This is a full-time contract role based in Detroit, Michigan, United States.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   We operate core working hours so you can determine the schedule that works best for you and your team.