Network Engineer (AMR / Industrial Wireless)

North Point Technology is hiring Network Engineers to support the deployment of Autonomous Mobile Robot (AMR) systems across a global manufacturing footprint. This role is ideal for an experienced network professional who can design, deploy, and optimize industrial wireless networks in complex, production-critical environments.

Responsibilities:

• Design, deploy, and support wireless network infrastructure across manufacturing sites
• Conduct wireless site surveys to assess coverage, performance, and environmental constraints
• Install, configure, and optimize wireless networks to support AMR system operations
• Deploy and support Cisco Identity Services Engine (ISE) and Cisco Cyber Vision
• Perform network testing, tuning, and troubleshooting in live production environments
• Coordinate with plant IT teams, operations, and external vendors during deployments
• Develop and maintain standardized documentation for network configurations and processes

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, or related field
• 5+ years of experience in network engineering or infrastructure deployment
• Strong experience with Cisco networking technologies
• Hands-on experience with wireless network design, deployment, and optimization
• Experience with Cisco ISE (authentication, policy enforcement, segmentation)
• Experience deploying networks in manufacturing or industrial environments
• Ability to troubleshoot complex network issues in real-world conditions

Preferred Qualifications:

• Experience with Cisco Cyber Vision or industrial security platforms
• Experience with OT (Operational Technology) or industrial IoT environments
• Experience supporting large-scale, multi-site deployments

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.

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

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.

Machine Learning Engineer – Inspire11

Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire11 is more than a modern business and technology consulting firm; we're a revolution. We work differently — and it shows. Every move we make is tied to measurable value, and our success aligns with our clients’ success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creation isn't something we talk about — it's something we live, every day. 

At Inspire11, we're not just offering a job; we're providing a platform for you to transform the future. You'll feel right at home here if you think differently, build boldly, and lead with impact. We're a place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed. 

• Growth Through Challenge:  We hold ourselves to the highest standards of excellence and accountability. At Inspire11, we are committed to delivering exceptional results and empowering our employees to take ownership of their work and drive meaningful impact. You'll work alongside elite consultants who challenge you to expand your skills and think even more creatively. 

• The Autonomy to Do Your Best Work: Here, outcomes matter more than outputs. It's about the value we create. You'll have the autonomy to shape your work, drive decisions, and make an impact—not just for our clients but for your growth. You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking, creative approaches, and challenging conventional wisdom are part of our DNA. Our clients rely on us to lead them into what's next. 

• Diverse Perspectives Driving Innovative Solutions: We champion inclusivity and authenticity, knowing that diverse perspectives drive better solutions. You'll be encouraged to bring your whole self to work, knowing that's where true innovation happens. We also believe that doing great work should be fun. Our culture thrives on energy, camaraderie, and appreciating the unique contributions that make Inspire11 an amazing place. Our teams get energy from being the best they can be. 

 What you can expect in this role: 

• Designing scalable machine learning infrastructure, including implementing CI/CD pipelines for model deployment
• Monitoring models in production
• Developing Generative AI solutions
• Ensuring security and compliance
• Preprocessing and analyzing datasets
• Developing and fine-tuning ML models to optimize for performance
• Communicating results to stakeholders 

Tools for success: 

• Exhibit strong software engineering principles
• Proficiency in cloud architecture (AWS, Azure, GCP)
• Familiarity with CI/CD and DevOps
• Expertise in data preprocessing and ML techniques
• Experience with model evaluation and libraries like TensorFlow, PyTorch
• Proven experience in ML engineering
• Strong programming skills (Python, R)
• Cloud services and infrastructure knowledge
• Agile methodologies understanding 

Inspire11 is unable to sponsor employment visas at this time. Applicants must be legally authorized to work in the U.S. at the time of application and throughout the duration of employment. 

Inspire11’s Privacy Policy: https://www.inspire11.com/privacy-policy/  

U.S. Compensation & Benefits  

Compensation at Inspire11 
Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven’s skill, experience, performance, responsibility, and effort. We may also consider an employee’s length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company’s financial ability.   

Compensation may be increased or decreased at Inspire11’s discretion based on an employee’s performance reviews, market conditions, and the Company’s financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation.  

Bonuses 
We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based on sales, revenue, client-specific or practice-specific targets. These targets are communicated to each eligible employee via offer letter or annual update. All such target-based bonuses are calculated based on the Company and an individual’s periodic performance and will only be awarded if: (a) the employee is meeting performance expectations and is an employee in good standing of the Company; (b) the target is met; and (c) the Company’s current financial performance and market conditions permit the bonus to be paid out. All periodic bonuses are discretionary and are earned only when paid out.   

Each year, the Company will decide whether the Company’s financial performance, market performance, and business realities allow it to create an annual bonus pool. If the Company decides that annual bonuses may be awarded, then the Leadership Team will grant annual bonuses to employees in good standing based on the same factors discussed in the previous paragraph while also considering employees’ diligence, performance, expertise, skill, judgment, and experience. To be eligible to participate in this annual bonus pool, an employee must be hired by no later than October 1st of the preceding year. Annual bonuses and merit increases may be prorated based on hire date. Employees eligible for target-based periodic bonuses are not eligible to participate in the annual bonus pool.   

Options or Other Equity in Inspire11 
Inspire11 has a legacy program that allowed certain high-performing employees to purchase shares of the Company through an affiliate. The Company also has a newer program that grants options annually to high-performing employees based on their performance reviews, their managers’ recommendation, and leadership approval. These options have a vesting period associated with them.  

Benefits 
Full-time employees are eligible for the following contributory benefits, where premiums are partially paid by the Company and partially by the employee:   

• Medical insurance plans, 
• Dental insurance plans, and  
• Vision insurance plans.  

Full-time employees are eligible for the following benefits provided wholly by the Company:  

• Short-term disability, providing for a benefit of 60% of an employee’s salary up to a maximum of $2,000 per week for up to 11 weeks after a 7-day waiting period; 
• Long-term disability, providing for 60% of an employee’s salary up to a maximum of $10,000 per month for the time period from the 91st day after a qualifying event through the earlier of the end of the disability or age 67; 
• Life insurance, providing for a benefit of two times the employee’s annual salary, up to a maximum payout of $400,000;   
• A connectivity stipend of $325 annually; 
• Employee Assistance Program, providing for confidential counseling sessions, 24-hour crisis support, online peer support groups, skills training, behavioral health coaching, initial free legal consultations (and discounted rates on referred lawyers), online legal forms, assistance with eldercare and parenting services, among other things.  

Full-time employees are also eligible to participate in the Company’s 401(k) plan, which allows employees to contribute to a standard or Roth IRA. According to a vesting schedule, the Company matches 100% of employee contributions up to 3% of an employee’s salary.  

Depending on eligibility and their elections, full-time employees may also have access to certain tax-advantaged savings accounts set up through the Company, into which employees contribute withheld funds:   

• Flexible savings accounts
• Limited-purpose flexible savings accounts  
• Healthcare savings accounts
• Dependent care savings accounts  
• Commuter benefit accounts  

Paid Time Off and Leave 
Inspire11 grants all eligible employees any statutory leave required by federal, Illinois, or other applicable law, such as FMLA, bereavement, sick leave, emergency leave, jury duty or witness leave, and VESSA leave.   

In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set predetermined upper limits on the amount of PTO an employee may take. All PTO must be requested in advance and approved by the appropriate supervisor to ensure client work can continue. All full-time employees are expected to take a minimum of one week of PTO each year.   

Inspire11 offers paid parental leave to full-time employees who have been with the company for at least one year. Birthing parents are eligible for up to 12 weeks of paid parental leave, while non-birthing parents are eligible for up to 6 weeks. Short-term disability (STD) benefits are also provided following childbirth. When combined with PTO and STD, birthing parents may receive a total of 18–20 weeks of paid leave. Lastly, Inspire11 has eight paid holidays.  

Other Benefits 
Inspire11 also maintains other programs that provide additional benefits to employees, such as:   

• Impact to 11: a charitable giving matching program where, after being employed by Inspire11 for a year, employees may request that a qualifying charity receive up to $500 in matching donations each year. 
• Professional development benefits for qualifying employees: a program allowing for reimbursement of certain course materials and costs on a discretionary basis for employees who have been at Inspire11 for at least 6 months, with supervisor’s approval. 
• Regular gifts of Inspire11 clothes, office items, and swag.  

Disclaimer 
This document applies only to the United States and to Inspire11 LLC, not our worldwide partners.  

Inspire11 reserves the right to change the benefits offered to employees in accordance with applicable law based on business needs, market conditions, and financial stability. Before changing any benefits, Company will notify all employees of the change and will update this document.  

EEOC 
Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. If you need assistance or a reasonable accommodation during the application process, please contact us at hr@inspire11.com, or inform your recruiting partner.  

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking an Vehicle Systems Engineering Intern who will focus on growing Geotab's world class vehicle support by researching new vehicles, reverse engineering their systems and automating the process with software tools. If you love technology, and are keen to join an industry leader - we would love to hear from you!

What you'll do:

As a Vehicle Systems Engineering Intern your key area of responsibility will be to gain access to vehicles both in person and remotely across the world, to reverse engineer vehicular systems. This includes electrical, hardware and communications systems, protocols and legislation. In the past, students have developed software tools in C# and python, built big data dashboards using Google Big Query, reverse engineered vehicles from scratch using our in house CAN analysis software, helped diagnose vehicle issues… the list goes on!  You will need to work closely with all development teams across Geotab and implement new initiatives across Big Data, Firmware, Software/ Mobile development and Hardware teams.

To be successful in this role you will be a self-starter with strong written and verbal communication skills and have the ability to quickly understand complex, technical concepts. In addition, the successful candidate will have strong analytical and project management skills with an ability to identify needs, develop effective solutions, and manage projects through completion. The successful candidate will also be able to manage multiple timelines and contrasting priorities to ensure timely results.

The opportunity:

• 4- 8 month (8 preferred) work-term beginning September 2026.
• Full-time, paid internship: Monday - Friday, 37.5hrs/week.
• Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
• Learn more about the Geotab Campus Program here.
• This posting is for an existing vacancy.

How you'll make an impact:

• Reverse engineer vehicular systems including electrical, hardware and communications systems and protocols.
• Document and design methods to collect data from vehicles in a way that is digestible by Geotab's hardware and software teams.
• Support the global reverse engineering vision and process by contributing to the use, design and implementation of the software tooling.
• Use Cloud-based data warehouses (e.g. BigQuery and Google Cloud compute) for automated analysis of vehicle data and identify vehicle support gaps from our products.
• Assist in the product development cycle through proof of concepts and the execution of beta testing.

What you'll bring to the role:

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.

The Solutions Engineering Team
We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation. Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta’s Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform.

The Solutions Engineer, Auth0 Opportunity
Reporting to the Sr. Manager, Solutions Engineering, Strategic Auth0, the Solutions Engineer is a functional business consultant, with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.

What you’ll be doing

• Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Enterprise Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

What you’ll bring to the role:

• Identity and Access Management (IAM) Expertise:
  • 5+ years of pre-sales engineering experience in IAM.
  • Strong understanding of IAM concepts, including OAuth 2.0, OIDC, and SAML.
  • Experience with lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.
• Technical Proficiency:
  • Hands-on experience in one or more of the following development areas: web (JavaScript, HTML, frontend frameworks), mobile (iOS, Android), backend (Java, C#, Node.js, Python, PHP, Ruby), or IP-based real-time communications.
  • Experience working with REST APIs, API Gateways, and SDKs.
  • Deployed applications on cloud platforms (AWS, Azure, GCP, Vercel, etc.).
  • Understanding of core security concerns in applications (password hashing, SSL/TLS, encryption at rest, XSS, XSRF).
• Customer Engagement & Communication:
  • Passion for serving customers, demonstrated in a customer-facing role (ideally pre-sales, but consulting or support also valued).
  • Ability to quickly communicate complex technical ideas, including on-the-fly whiteboard explanations.
  • Elite communication skills, confident in dispensing knowledge and presenting to highly skilled and experienced audiences.
• Strategic & Organizational Skills:
  • Territory management skills, including pipeline building and collaboration with sales counterparts for execution excellence.
  • Diagramming experience for user journey flows, complex architecture diagrams, etc.
• Education & Travel:
  • Bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.
  • Typically 25% travel.

You might also have (not mandatory):

• Experience with Auth0, Auth0 FGA, or OpenFGA.
• Hands-on experience with Generative AI or LLM technology (LangChain, GenKit, LlamaIndex, etc.).
• Experience integrating with micro services, data lakes, or customer data platforms.
• Developed ReBAC or Fine-Grained Authorization models.

#LI-LSS1

#LI - Remote

P23532

Job Description:

• System Test Engineer
• The System Test Engineer ensures the elicitation of the requirements/KPI’s, the test coverage of the System and System Architecture Requirements and quality of test cases along with the Test Plans.
• He/she specifies the test cases following the test strategies.
• He/she ensures that the test environment is set-up correctly.
• He/she executes the tests.
• He/she ensures the consistency of the test results with the test specification, the device under test and the relevant System release.
• He/she reports to the Test Lead or System Validation Technical Project Manager.

Responsibilities:

• Execute application and test-related tasks in coordination with the application team lead.
• Align System Test Specifications with the Function Manager and participate in peer reviews for test plans and specifications.
• Escalate deviations to the System Test Lead, providing adequate information and proposals for decision-making.
• Support the closing of system test activities and prepare test reports.
• Innovate and develop alternative test solutions to improve existing strategies.
• Analyze incoming system requirements and develop Test Specifications with full traceability to ensure coverage of all system interfaces and stakeholder requirements.
• Perform DVP&R and/or homologation tests according to customer requirements.
• Support vehicle integration with OEM teams for active safety sensors (ultrasonic, cameras, driver monitoring, clusters, PEPS).
• Ensure completeness of mechanical analysis and design verification activities, including measurement and analysis of ultrasonic sensor Field of View (FOV).
• Manage vehicle-specific parameters and perform flashing of ECUs.
• Execute bench-level and vehicle-level testing, including smoke, regression, and full validation tests.
• Execute test drives to validate end-user features.
• Perform in-vehicle calibration and testing of collision mitigation and automated park assist modules, including simulation of vehicle motion and trajectories.
• Write and execute automated scripts for bench-level testing, with AI usage for automation considered a plus.
• Work with various vehicle systems, including ABS, EPAS, EPS, and ECU.
• Report issues via defect management tools such as Jira or Codebeamer.
• Support the distribution and setup of the System Test Environment.

Other Specifications:

• Good knowledge of embedded software and system
• Experience in system engineering and testing (requirements analysis/test case writing methodology, traceability concept, test case execution, automation, reporting)
• Knowledge of process models (e.g. Automotive SPICE®)
• Utilize CAN/LIN interface tools (e.g., CANoe, CANalyzer) for trace analysis.
• Automation scripting
• AI usage is a plus
• Based in the Troy office, this position requires the engineer to spend approximately 90% of their time conducting vehicle testing and calibration at the Auburn Hills test track, with additional travel required for joint customer site testing and external test track validation.

Education/Training:

• Bachelor's Degree in an engineering discipline

Professional Experience / Desired:

• Minimum 3-5 year relevant experience in system test/design in multifunctional environment
• Knowledge in automotive development and application of active safety features is a plus
• Excellent communication skills, both written and verbal
• Good problem solving and critical thinking skills to understand new challenges and new technologies
• Confident, articulate, self-motivated, determined & energetic. Must be able to engage with customers and build strong relationships.
• Bench and vehicle test experience
• Automation scripting
• Valid driver license license is required
• Experience in AI usage is an advantage.
• Team player.

Preferred:

• CAN communication protocol knowledge (CANoe, CANalyzer)
• Capl script knowledge
• Knowledge of DAS/ADAS
• DFMEA knowledge
• Familiarity with ultrasonic / camera based systems will be considered a plus (object sensing technology)
• ASPICE, ISO26262 and Cyber Security training are an advantage.
• Self-driven and motivated

At Armis, our Sales Engineers (SE) serve as the linchpin of every prospect engagement. Working closely with our prospects to demonstrate the value of the Armis agentless platform via console demonstrations, proof-of-value deployments, and targeted training sessions.

What you'll do...

Work closely with our prospects to:

• Provide virtual and in-person technical demonstrations
• Deploy proof-of-value installations
• Lead technical training sessions based on POV findings
• Support marketing activities, conferences, speaking engagements
• Consistently and cogently address our prospects needs through astute verbal and written communication skills
• Thrive in a team-oriented culture through delivering a significant individual contribution while collaborating with and strengthening teammates
• Think critically, spanning the sales process through customer support, troubleshooting, and developing new use cases for internal and external consumption.
• Develop prospect facing documentation
• Expected to travel up to 40% of the time on average (can vary by region)

Education:

• BS degrees in computer science, MIS, or equivalent experience required

Experience:

• 5+ years experience in technical positions required (SE, Pre-Sales Engineer, Solutions Architect) ideally for a Cyber Security vendor
• 5+ years of experience in customer-facing or customer support positions
• Solid understanding of networking concepts and technologies
• A demonstrated track record of taking ownership of complex initiatives and producing successful outcomes
• Experience closing complex cyber security SaaS solutions with Enterprise Customers and supporting Sales AE's / RSM's.

Knowledge in one or more of the following:

• IoT, OT, IoMT
• Wireless technologies (WLCs, Meraki, Aruba, etc.)
• Linux Operating Systems
• Virtualized environments
• Network knowledge
• Utility Scripting (Python preferred)

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.

Position Summary

• Client is seeking a Vehicle Access Engineers to support the development, validation, and integration of vehicle access systems across current and future vehicle programs.
• These roles will focus on mechanical and electronic access components like RFHM​, SPAAK​, KIN​ , TPMS​, Wireless security​, ensuring seamless functionality, quality, and regulatory compliance from concept through production.

Key Responsibilities

• Lead design, development, and validation of vehicle access systems including:
• Door handles (manual & electronic)
• Latches, locks, and actuation systems
• Passive Entry/Passive Start (PEPS) interfaces
• Key fobs and external access components
• RFHM​, SPAAK​, KIN​ , TPMS​, Wireless security
• Define technical requirements and interface specifications with internal stakeholders and suppliers
• Support DFMEA, PFMEA, and design reviews to ensure functional safety and robustness
• Coordinate vehicle builds, vehicle and component testing, and issue resolution at the plant during prototype and production phases
• Analyze field, warranty, and test data related to access system performance and implement corrective actions
• Support supplier technical reviews, part verification, and quality audits
• Ensure compliance with global regulatory, safety, and OEM standards

Required Qualifications

• Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Automotive Engineering, or related field
• 4–6 years of experience in automotive engineering or vehicle system development
• Hands-on experience with vehicle access or body systems (doors, locks, latches, actuators, sensors. keyfobs)
• Working knowledge of automotive product development processes (APQP, DV/PV, gateways)
• Ability to read and interpret engineering drawings and specifications
• Strong problem-solving and root cause analysis skills

Preferred Qualifications

• Experience with electronic access systems or PEPS
• Knowledge of CAN/LIN communication related to body electronics
• Familiarity with CAD tools (NX siemens preferred)
• Experience working with Tier 1 suppliers
• Prior experience within a global OEM environment

Key Competencies

• Cross-functional collaboration
• Technical decision-making
• Analytical thinking
• Clear communication with engineering and non-technical teams
• Ability to manage multiple priorities across vehicle programs

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

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking an SRE Observability Architect who will define the strategic vision, technical architecture, and engineering standards for observability across the organization's cloud platforms. The projects will vary in scope, complexity, and affected business area. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As an SRE Observability Architect, your key area of responsibility will be defining the foundational observability architecture that enables scalable, cost-efficient, and highly reliable insight into distributed systems while leading the design of next-generation observability platforms. You will need to work closely with SRE, platform engineering, and application development teams, as well as align with security and compliance stakeholders. 

To be successful in this role, you will be a strong analytical and systems thinker with the ability to navigate complex, ambiguous technical challenges and articulate technical architecture to executive audiences. In addition, the successful candidate will have deep expertise in designing enterprise-scale observability platforms and the ability to influence and drive technical direction across multiple teams and organizational boundaries.

How you'll make an impact:

• Define and own the enterprise-wide observability architecture, establishing technical standards, reference architectures, and multi-year roadmaps.

• Evaluate, select, and standardize observability tooling (e.g., Grafana, Prometheus, VictoriaMetrics, Tempo, Loki, Elastic Stack, OpenTelemetry) to reduce tool sprawl and optimize total cost of ownership.

• Design scalable data pipelines and storage strategies capable of ingesting and querying petabyte-scale telemetry data across metrics, traces, logs, and continuous profiling.

• Design Terraform modules and Helm charts for declarative observability infrastructure provisioning across multi-cloud environments.

• Establish and enforce instrumentation standards using the OpenTelemetry framework, including SDK guidelines, collector deployment patterns, and semantic conventions.

• Define and champion SLO/SLI/error-budget frameworks across engineering teams, providing architectural guidance on service-level objective implementation.

• Serve as a senior escalation point during critical incidents, leveraging deep observability expertise to accelerate diagnosis and resolution.

• Provide architectural mentorship and technical guidance to Observability Engineers and SRE team members.

What you'll bring to the role:

• 5-8 years of experience in Observability Architecture, Site Reliability Engineering (SRE), or Platform/Infrastructure Engineering.

• Post-secondary Diploma/Degree in Engineering, Computer Science, or a related field.

• Mastery of the OpenTelemetry ecosystem and expert-level knowledge of Prometheus-compatible metrics systems (VictoriaMetrics, Thanos, etc.).

• Advanced experience with tracing systems (Grafana Tempo, Jaeger) and log aggregation platforms (Loki, Elasticsearch, Google BigQuery).

• Expert-level proficiency in cloud infrastructure (GCP strongly preferred) and Kubernetes architecture.

• Strong software engineering skills in Go, Python, or similar languages for building cloud-native tooling.

• Excellent communication skills with the ability to influence technical direction across organizational boundaries.

• Preferred certifications: Google Cloud Professional Cloud Architect or Certified Kubernetes Administrator (CKA).

Job Description:

• The EE Architecture – Domain Architect is responsible to define the optimized portfolio of architecture  solutions for a specific domain/subsystem (e.g. ADAS, Infotainment, Chassis, etc) working with subsystem and component owners of the domain.
• Expertise in the Domain is required to be effective in this  position along with overall vehicle electrical architecture knowledge.

Responsibilities:

• Responsibility to define the overall architecture strategy for the Domain
• Define portfolio of Architecture solutions for the Domain (all Archetypes)
• Discuss/Resolve CRs impacting the Domain for all architecture additions/changes
• Create Long Term plans for the Domain (Technology Roadmaps) along with subsystem teams
• Ensure commonality / consistency of interfaces/solutions for Client.
• Physical & Functional Partitioning and Allocation of features and functions in order to meet  systems/subsystem performance requirements, plus cybersecurity and functional safety requirements
• Create mechanizations / schematics for subsystem domains
• Create topology/functional diagrams showing data exchange/interactions between the components and  systems
• Drive Interfaces Standardization for the Domain / Subsystem
• Stay abreast of new technologies and solutions for the domain
• Oversee the Functional System Design modeling following the allocation decisions
• Oversee Network & Diagnostics system design following the allocation decisions.
• Work with the hardware team to provide requirements for microcontrollers, memory and/or  communication chipsets to support the physical/functional allocation decisions.
• Relentlessly drive to early life cycle delivery through an agile approach.
• Develop a culture of collaboration, diversity, and inclusion.
• Willing to take action and drive results.

Minimum Qualifications:

• 5+ years of industry experience in EE Architecture design, Electrical Engineering architecture roles or  System/Subsystem designs.
• Bachelor’s in Computer Engineering, Computer Science, or Electrical Engineering.
• Experience in defining and designing large complex embedded networked computer systems including  definition of system topologies, components, and interfaces.
• Good knowledge/experience in Network Communication Design: CAN, CAN-FD, LIN and Ethernet  protocols.
• Good knowledge/experience in Automotive Ethernet based communication protocols: Audio Video  Bridging (AVB); Time Sensitive Networking (TSN); Service Oriented approach (SOME/IP); TCP/UDP; MQTT.
• Good knowledge on off-board communication protocols (WiFi, 4G/5G, V2X connectivity).
• Deep understanding of typical vehicle EE architectures and automotive development processes.
• Experience to establish a professional network within the ecosystem of automotive suppliers, and  technology companies such as: Computer system technology companies; International Standard  Committees (ISO, IEEE), Semiconductor vendors; Start-up companies.
• Strong systems thinker.
• Fluency in English is required, any other European language is an advantage.

Preferred Qualifications:

• Master or PHD in Computer Engineering, Computer Science, or Electrical Engineering.
• Designed EE platforms or components for Service Oriented Architectures (SOA).
• Track record experience with the design and requirements of the following complex automotive domains:  ADAS/AD; Body; Cockpit; Connectivity, Powertrain, and Power Distribution.
• Experience using networking tools such as CANalyzer, CANoe, PREEvision.
• AUTOSAR process/tools know-how and application experience.
• 5+ years of experience in EE Systems or EE Architecture R&D.
• Exhibits excellent, clear, and detail-oriented written and verbal communications on highly complex topics.
• Client EE Architecture roadmap

At Armis, our Sales Engineers (SE) serve as the linchpin of every prospect engagement. Working closely with our prospects to demonstrate the value of the Armis agentless platform via console demonstrations, proof-of-value deployments, and targeted training sessions.

What you'll do...

Work closely with our prospects to:

• Provide virtual and in-person technical demonstrations
• Deploy proof-of-value installations
• Lead technical training sessions based on POV findings
• Support marketing activities, conferences, speaking engagements
• Consistently and cogently address our prospects needs through astute verbal and written communication skills
• Thrive in a team-oriented culture through delivering a significant individual contribution while collaborating with and strengthening teammates
• Think critically, spanning the sales process through customer support, troubleshooting, and developing new use cases for internal and external consumption.
• Develop prospect facing documentation
• Expected to travel up to 40% of the time on average (can vary by region)

Education:

• BS degrees in computer science, MIS, or equivalent experience required

Experience:

• 5+ years experience in technical positions required (SE, Pre-Sales Engineer, Solutions Architect) ideally for a Cyber Security vendor
• 5+ years of experience in customer-facing or customer support positions
• Solid understanding of networking concepts and technologies
• A demonstrated track record of taking ownership of complex initiatives and producing successful outcomes
• Experience closing complex cyber security SaaS solutions with Enterprise Customers and supporting Sales AE's / RSM's.

Knowledge in one or more of the following:

• IoT, OT, IoMT
• Wireless technologies (WLCs, Meraki, Aruba, etc.)
• Linux Operating Systems
• Virtualized environments
• Network knowledge
• Utility Scripting (Python preferred)

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 Solution Engineer/SE serve as strategic technical consultants and project leaders, supporting Automation Solutions sales, applied system development, and project initiatives across focused vertical markets. Operating with a high level of autonomy, SEs design, implement, and support advanced solutions that integrate Phoenix Contact’s complex technical products with third-party components to meet specific customer or industry segment needs. These specialists interpret and translate customer specifications into functional concepts, delivering tailored application solutions that address operational challenges and align with industry best practices. Industries served include oil and gas, water/wastewater treatment, building automation, data centers, transportation infrastructure, electric power, automotive, and network & security. Solution Engineers are strategically positioned to drive innovation, organizational agility, and long-term business value.

Responsibilities

• Develop an expert area of specialization (industry/technology) as directed by manager and attain related certifications
• Mentor and advise Associate Solution Engineers, Technical Service, Product Engineering, and Product Management on product performance in the field and suggest design changes to improve product performance and customer satisfaction
• Design training programs and training material to support complex control system projects
• Develop advanced system testing and troubleshooting processes utilizing spectrum analyzers, storage scopes, power monitors, volt meters, and other required test equipment
• Provide applied solution design and engineering support to the Control and Industry Solutions team
• Independently qualify and gather input for designs through functional specification review or by direct customer interaction
• Provide pre-sales technical support and develop a concept framework based on customer requirements and industry standards and practices
• Develop and implement test plans to validate proposed solutions
• Develop and serve as technical lead on ‘proof of concept’ or pilot applications
• Provide project management as required, and advise project team on technical issues throughout the project lifecycle
• Develop, implement, and provide on-site installation start-up support
• Perform application demonstrations together with Phoenix Contact sales engineer and/or PSE at potential customer sites
• Research and understand existing competitive and emerging products and technologies
• Document and internally communicate data supporting the development of new products to meet focus market/customer requirements
• Support the sales effort of Phoenix Contact’s complex technical products when positioned and sold as industry solutions at OEM, end-user, and system integrator focused accounts within primary and supported market segments
• Support Phoenix Contact field personnel and channel partners in technical aspects relating to the sale of systems and solutions
• Develop and conduct control solution presentations and technology seminars to targeted audiences
• Position Phoenix Contact as a technology leader through active involvement in industry related technical associations
• Develop and maintain an expert understanding of industrial networking and communication technologies. Specific expertise in Industrial Ethernet Protocols:  Profinet, Ethernet/IP, and Modbus TCP
• Develop and maintain an expert working knowledge on all Phoenix Contact industrial products with specialized emphasis on IEC 61131 programming, industrial ethernet (wired and wireless), and networked I/O
• Maintain knowledge proficiency through continued participation in industry trade events and conferences including active participation in presenting Phoenix Contact Case Studies, etc.
• Attendance and participation in accordance with corporate policies in local, national, and international meetings

Qualifications

• Minimum Associate’s Technical Degree + equivalent experience. Bachelor’s degree in engineering or technical focus preferred.
• Minimum of 4 years industrial automation experience
• Industry specific controls system design and programming experience
• Motivated self-starter with the ability to work autonomously and as part of a team
• Ability to set priorities and perform simultaneous tasks
• Ability to meet deadlines and adjust to changing priorities to meet business goals
• Excellent written and verbal communication skills
• Proficient computer skills (Word, Excel, PowerPoint)
• Effective interpersonal skills with comfort in delivering group presentations

Essential Job Functions

• 35% Travel Requirement (2% - 5% Overseas)
• Must be able to lift 60 pounds
• Must be able to sit and/or stand for extended periods of time (2-4 hours at a time)
• Must be able to work on a computer for extended periods of time (up to 4 hours at a time)
• Must be able to travel in vehicles (automobiles, trains, and planes) for up to 10 hours
• Must be able to communicate effectively in verbal and written English
• Must comply with company dress code guidelines
• Punctuality and attendance in accordance with company policies
• Timely reporting of expenses
• Regular and on-time attendance.
• This is a hybrid position requiring at least three days in the office, unless otherwise specified.

What’s in it for you?

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 16 weeks fully paid maternity leave & 10 weeks fully paid paternity leave, life insurance, short & long-term disability, assistance, and more!

#LI-RD1

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.