Responsibilities:

• Oversee the design, installation, configuration, and integration of AV systems.
• Perform hands-on setup, operation, troubleshooting, and maintenance of AV equipment for live events, meetings, and presentations.
• Plan and support events ranging from 300+ person internal/external events to small team meetings.
• Act as the primary escalation point for complex technical issues, ensuring minimal downtime and quick resolution.
• Collaborate with clients, event planners, IT teams, and vendors to assess needs, plan layouts, and execute AV setups for small to large-scale events.
• Develop and maintain documentation, including maintenance schedules, troubleshooting guides, inventory tracking, and system diagrams.
• Ensure compliance with safety standards, company policies, and industry best practices during installations and operations.
• Manage project timelines, budgets (for small projects), and resource allocation while maintaining profitability and quality.
• Stay current with emerging AV technologies and recommend upgrades or improvements
• Provide exceptional customer service, including on-site support and post-event debriefs

Basic Qualifications:

• Associate's or Bachelor's degree in Audio Visual Technology, Electronics, Information Technology, or a related field preferred (or equivalent experience).
• 5+ years in audio-visual technical roles, with at least 2 years in a lead, senior, or supervisory position. Experience in corporate, educational, or event environments is a plus.
• CTS (Certified Technology Specialist) from AVIXA strongly preferred; additional certifications like Crestron, Extron, Dante, or Biamp are highly desirable.
• Proficiency with AV control systems (Crestron, AMX, Extron), video conferencing (Zoom, Microsoft Teams, Cisco Webex), digital signal processing (DSP), and networking basics.
• Strong knowledge of audio/video signal flow, cabling, rigging, lighting, and projection systems.
• Experience with live event production, including mixing boards, cameras, and streaming.
• Excellent leadership, communication, and problem-solving abilities; ability to work under pressure and manage multiple priorities. Strong customer service orientation and team collaboration.
• Physical Requirements: Ability to lift heavy equipment (up to 50 lbs), climb ladders, and work in varied environments (including evenings/weekends for events). Valid driver's license may be required

Additional Requirements:

• Must be physically fit enough to regularly lift up to 30 lbs. for duties such as delivering computers, unpacking and rack-mounting equipment, etc.
• Must be willing to work extended hours and weekends as needed.
• Must be willing to travel

Compensation and Benefits: $115,000 - $145,000 Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

ITAR Requirements: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

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As a Robotics Engineer, you will be responsible for implementing trusted safe navigation, collision avoidance, and situational awareness systems that balance constraints, restrictions, and requirements in a multi-stakeholder environment. You will also implement scalable sub-systems including sensor processing, perception, tracking, motion planning, health management, anomaly detection, simulation, testing fixtures, and vehicle interfaces.

In addition, you will contribute to the development of existing software components across Anduril, with the aim of developing components that are reusable across multiple Anduril product lines. You will utilize advanced techniques in computer vision, sensor fusion, and machine learning to enhance perception and planning capabilities of Anduril vehicles.

You will conduct thorough testing and validation of perception and planning algorithms through development and use of simulation and analysis of data from real-world experiments, including evolving the data analysis tooling. You will also collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing.

This role requires a strong background in robotics, mechatronics, computer science, or engineering, with experience in C++ and/or Python software development. You should have familiarity with autonomous vehicle hardware and sensors such as radar, sonar, LIDAR, and cameras. Demonstrated knowledge of at least one of computer vision, sensor fusion, SLAM, motion planning, or machine learning is required.

Experience in a senior perception or planning role for the delivery of a robotic system is preferred. You should have the capacity to act as the technical owner for a system, including stakeholder engagement, requirements definition, roadmap management, team coordination, design, implementation, sustainment, and evolution. Ability to collaborate with stakeholders to define and implement robust validation and verification strategies for perception and planning modules is also required.

Eligibility to obtain and maintain an active U.S. Secret security clearance is necessary for this role.

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You'll define the installation standards, configuration baselines, and deployment processes that the broader team executes against , from access control migrations and intercom replacements to AI analytics onboarding and new application integrations. You'll work across InfoSec, IT, Networking, and Identity Management to ensure every security application passes review, integrates with SSO, and is supported within Anthropic's infrastructure before going live. Your work will directly determine whether Anthropic's security technology stack scales reliably as the company grows from dozens of locations to a global enterprise footprint.

Responsibilities:

• Validate and deploy new and replacement security technology platforms including access control systems, intercom solutions, video management, visitor management, and AI/analytics tools across all Anthropic locations

• Build and maintain staging environments for pre-production testing and validation of all security applications, hardware, firmware, and system configurations

• Define installation standards, configuration baselines, licensing structures, update procedures, and maintenance requirements for every deployed security platform

• Deploy integrations between security applications, validating that platforms communicate and share data correctly before transitioning to production

• Support colleagues' security applications through InfoSec review processes, ensuring new tools meet Anthropic's information security and compliance requirements

• Coordinate SSO integration for newly deployed security applications with Identity Management and IT teams

• Transition applications requiring custom integration or data pipeline development to the IT Engineering team with documented technical requirements for roadmap inclusion

• Initiate onboarding of deployed hardware and systems into Anthropic's health monitoring platform to ensure operational visibility from day one

• Develop standardized deployment playbooks, checklists, configuration templates, and handoff documentation that enable repeatable installations across all current and future sites

• Evaluate security platforms for scalability, identifying capacity constraints, single points of failure, and architectural limitations before they impact operations at scale

• Coordinate with Networking, IT Infrastructure, and Facilities teams to ensure all infrastructure prerequisites (network, power, rack space, cloud resources) are met prior to deployment

• Execute structured handoffs to Project Management (for site programming), Break-Fix Support (for maintenance), and Access Control Administration (for ongoing system management), ensuring each team has the standards and documentation to execute independently

Requirements:

• 5+ years of hands-on experience deploying, validating, and managing enterprise physical security technology across a large or rapidly growing organization

• Experience working across InfoSec, IT, Networking, and Identity Management teams to onboard and integrate security applications into enterprise environments

• Strong technical communication skills, with the ability to define standards clearly enough that PMs, integrators, and service teams execute against them without ambiguity

• Experience with IP networking, VLANs, PoE, and infrastructure requirements for security devices

• Comfortable with 25% travel for site deployments, commissioning, and validation

Preferred Qualifications:

• Previous experience at a hyper-growth technology company or managing security technology programs for high-profile corporate environments

• Experience with Anthropic's specific technology stack: Genetec Security Center, Axis cameras, Wavelynx, Commend Symphony Cloud, Alcatraz.ai, Ambient.ai, SureView, Envoy

• Industry certifications: Genetec, Axis, CCNA, PSP, CPP, or PMP

• Experience with OSDP, modern credential technologies, and encryption protocols for physical security systems

• Familiarity with scripting or automation (Python, PowerShell) for configuration management and deployment automation

• Experience with health monitoring and observability platforms

• Experience with change management, configuration control, and version-controlled infrastructure documentation

Salary Range: $175,000-$220,000 USD

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Your expertise in computer vision algorithms, combined with your understanding of robotics principles, will be crucial in solving a wide variety of challenges involving visual perception, SLAM, motion planning, controls, and state estimation. This role requires not only technical expertise in computer vision and robotics but also the ability to make pragmatic engineering tradeoffs, considering the unique constraints of aerial platforms.

Your work will directly contribute to the seamless integration of Anduril's products, achieving critical outcomes in autonomous operations. This position demands strong systems-level knowledge and experience, as you'll be working on the intersection of computer vision, robotics, and autonomous systems.

If you are passionate about pushing the boundaries of computer vision in robotics, possess a 'Whatever It Takes' mindset, and can execute in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions, then this role is for you.

Responsibilities:

• Work at the intersection of 3D perception and computer vision, developing robust algorithms that power real-time decision-making for autonomous aerial systems.

• Develop and implement advanced structure from motion and SLAM algorithms to create accurate 3D models from multiple camera inputs in real-time.

• Integrate perception outputs with path planning algorithms to enable autonomous navigation in complex, unstructured environments.

• Design experiments, data collection efforts, and curate training/evaluation sets to develop insights for both internal purposes and customers.

• Collaborate closely with robotics, software, and hardware teams to integrate perception algorithms into autonomous aerial systems.

• Work with vendors and government stakeholders to advance the state-of-the-art in perception and world modeling for autonomous aerial systems.

Required Qualifications:

• BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field.

• Strong knowledge of 3D computer vision concepts, including multi-view geometry, camera models, photogrammetry, depth estimation, and 3D reconstruction techniques.

• Fluency in standard domain libraries (numpy, opencv, pytorch, etc).

• Proven understanding of data structures, algorithms, concurrency, and code optimization.

• Experience working with Python, PyTorch, or C++ programming languages.

• Experience deploying software to end customers, internal or external.

• Must be willing to travel 25%.

• Eligible to obtain an active U.S. Secret security clearance.

Preferred Qualifications:

• MS or PhD in Robotics, Computer Science, Engineering, or related field.

• Experience with perception systems for aerial robotics or other highly dynamic platforms.

• Experience with real-world sensor integrations, including LiDAR, RGB-D cameras, IR cameras, stereo cameras, or TOF cameras.

• Experience with GPU / CUDA programming for accelerated computer vision processing.

• Knowledge of path planning algorithms and their integration with perception systems in dynamic environments.

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A successful candidate will have experience with military specifications and wearable systems. They should be able to pursue prototyping and evaluation efforts with a high degree of autonomy meeting stringent SWAP-C requirements while balancing human factors and comfort with packaging needs.

Responsibilities: Design and develop mechanical systems for wearable devices, including traditional and additive manufacturing from prototype through production with metallics and composites. Ergonomics and Human Factors: Designing for comfort, fit, and usability to ensure the wearable devices are effective for prolonged wear in tactical environments. Structural/Thermal Analysis: Ability to perform first-order analyses to inform trade studies and concept designs. Manufacturing Processes: Knowledge of techniques for fabricating and assembling materials, including molding, laminating, and machining. Thermal and Environmental Considerations: Understanding how temperature, humidity, and other environmental factors affect materials and performance.

Qualifications & Critical Competencies: BS, M.Eng, MS or PhD in an engineering field. 1-6 years Mechanical Engineering Experience. CAD skills (any platform) and ability to manage complex parts and assemblies, and produce high-quality engineering drawings. High competencies with: Detailed mechanical design for traditional and additive manufacturing from prototype through production with metallics and composites. Ergonomics and Human Factors: Designing for comfort, fit, and usability to ensure the wearable devices are effective for prolonged wear in tactical environments. Structural/Thermal Analysis: Ability to perform first-order analyses to inform trade studies and concept designs. Manufacturing Processes: Knowledge of techniques for fabricating and assembling materials, including molding, laminating, and machining. Thermal and Environmental Considerations: Understanding how temperature, humidity, and other environmental factors affect materials and performance.

Preferred Qualifications: Consumer electronics packaging and design, design for cameras, displays, SoC integration, and ruggedization. Experience with a military qualification program, including a deep understanding of MIL-STD requirements. Experience with NX/Teamcenter, including FEA extensions. Experience rapid prototyping and iterating with 3D printed assets.

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The ideal candidate will have a BS, M.Eng, MS or PhD in an engineering field, 1-6 years Mechanical Engineering Experience, and CAD skills (any platform) and ability to manage complex parts and assemblies, and produce high-quality engineering drawings. They should also have high competencies with detailed mechanical design for traditional and additive manufacturing from prototype through production with metallics and composites, ergonomics and human factors, structural/thermal analysis, manufacturing processes, and thermal and environmental considerations.

Preferred qualifications include consumer electronics packaging and design, design for cameras, displays, SoC integration, and ruggedization, experience with a military qualification programs including a deep understanding of MIL-STD requirements, experience with NX/Teamcenter, including FEA extensions, and experience rapid prototyping and iterating with 3D printed assets.

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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold.

As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. Anduril is developing and deploying an integrated system to make UxVs highly effective through the entire mission lifecycle. From fleet management, to mission planning, live execution, and integrations into other DOD systems, Lattice is enabling the military to fight at scale with robots across all domains.

Your Job is to design, implement, and evolve the means by which Agents interact with classical software systems. You will contribute to test and eval infrastructure, deployment software, agent tool calling, prompt engineering, and other agent techniques in order to achieve best-in-class performance with frontier and edge deployed models. You will increase the performance and quality of agentic interaction patterns, and you will expand the surface area by which Agents can interact with the overall Lattice system.

Required Qualifications:

• Demonstrated deep knowledge of the implementation and use of LLM’s
• Experience integrating agents into classical systems
• Strong programming skills in Python or other core languages (Java, Go etc)
• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience.

Preferred Qualifications:

• Experience with simulation or real-world validation for autonomous vehicles is highly desirable
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Familiarity with C/C++ is a plus.
• General software engineering experience solving motion planning or related robotics problems.

US Salary Range $191,000-$253,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package.

Additional Benefits:

• Healthcare Benefits - US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.
• UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.
• IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.
• Income Protection: Anduril covers life and disability insurance for all employees.
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December.
• Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching.
• Additional work-life services, such as legal and financial support, are also available.
• Professional Development: Annual reimbursement for professional development.
• Commuter Benefits: Company-funded commuter benefits based on your region.
• Relocation Assistance: Available depending on role eligibility.
• Retirement Savings Plan - US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.
• UK & IE Roles: Pension plan with employer match.
• AUS Roles: Superannuation plan.

Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
• Please always verify communications:
• Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
• Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency.
• Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage.
• Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
• What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com.

Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice.

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The ideal candidate will have a strong background in computer science, robotics, machine learning, or a related field, and experience integrating agents into classical systems. They will also have a proven track record of novel application and experience including first-author publications, participation in peer-reviewed conferences, contribution to open-source projects, and demonstrated contribution to the ML and AI community.

In addition to your technical expertise, you will be a strong communicator and collaborator, able to work effectively with cross-functional teams to drive results. You will also be comfortable working in a fast-paced environment and adapting to changing priorities.

If you are a motivated and experienced engineer looking to join a dynamic team and contribute to cutting-edge technology, we encourage you to apply.

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As a Modeling & Simulation Engineer, you will be responsible for improving and adding to our sensor and communications model suite so that our operator training and internal engineering pipelines have a seamless translation from sim to real results.

Responsibilities

• Develop and enhance radar sensor models for use in simulation and evaluation of aeronautical vehicles.
• Translate theoretical models into efficient, reliable C++ implementations with a focus on numerical accuracy and performance.
• Validate models against real-world data and authoritative references, including field test data and calibration procedures.
• Collaborate with simulation and training application teams to ensure models integrate cleanly into operator-facing tools.
• Design automated validation and regression testing strategies for mathematical models to ensure fidelity across releases.
• Prototype and evaluate new modeling techniques (reduced-order models, uncertainty quantification, machine learning–based surrogates) to push the state of the art.
• Document assumptions, equations, and validation results so that both engineers and operators can trust model outputs.

Requirements

• BS or higher in Aerospace Engineering, Applied Math, Physics, or related field with 5+ years of aerospace modeling experience.
• C++ foundation with experience implementing numerical methods.
• Demonstrated experience with aerospace models such as: Radar sensors, Radio communications systems
• Experience validating simulations against real-world or experimental data.
• Ability to write clear documentation explaining assumptions, limitations, and expected behaviors of models.

Preferences

• 1+ years of experience working on pilot/operator training systems.
• Experience with Eigen or SciPy for model prototyping and validation.
• Familiarity with state estimation sensor models (GPS, IMU, Gyro, etc) for simulation environments.
• Demonstrated experience with payload sensor models including: Laser sensors, IR and optical cameras
• Knowledge of uncertainty quantification and statistical analysis methods.
• Experience with parallelization or GPU acceleration for compute-heavy models.
• Strong problem-solving mindset with a collaborative and detail-oriented approach.
• Familiarity with Python for test automation and data analysis pipelines.
• Passion for aerospace and autonomous vehicle systems.

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A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions.

Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.

Responsibilities:

• Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution.
• Develop advanced perception algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities.
• Implement sensor fusion frameworks by integrating data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques.
• Develop state estimation capabilities by designing and refining algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs.
• Analyze and utilize sensor ICDs to ensure correct data handling, interpretation, and synchronization.
• Optimize perception performance by tuning and evaluating perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments.
• Support autonomy integration by working closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules.
• Validate in simulated and operational settings by leveraging synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness.
• Collaborate with hardware and sensor teams to ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads.
• Drive innovation in airborne sensing by contributing novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments.
• Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).

Requirements:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.
• Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.
• 7+ years of experience in Unmanned Systems programs in the DoD or applied R&D.
• 2+ years of people leadership experience.
• Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models.
• Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches.
• Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications.
• Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs.
• Proficiency with version control, debugging, and test-driven development in cross-functional teams.
• Ability to obtain a SECRET clearance.

Preferences:

• Hands-on integration or algorithm development with airborne sensing systems.
• Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks.
• Experience deploying perception software on SWaP-constrained platforms.
• Familiarity with validating perception systems during flight test events or operational environments.
• Understanding of sensing challenges in denied or degraded conditions.
• Exposure to perception applications across air, maritime, and ground platforms.

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A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions.

Develop advanced perception algorithms , Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities. Implement sensor fusion frameworks , Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness. Develop state estimation capabilities , Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation. Analyze and utilize sensor ICDs , Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization. Optimize perception performance , Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments. Support autonomy integration , Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules. Validate in simulated and operational settings , Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness. Collaborate with hardware and sensor teams , Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads. Drive innovation in airborne sensing , Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments.

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A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions.

Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.

Responsibilities:

• Develop advanced perception algorithms , Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities.
• Implement sensor fusion frameworks , Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness.
• Develop state estimation capabilities , Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation.
• Analyze and utilize sensor ICDs , Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization.
• Optimize perception performance , Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments.
• Support autonomy integration , Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules.
• Validate in simulated and operational settings , Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness.
• Collaborate with hardware and sensor teams , Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads.
• Drive innovation in airborne sensing , Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments.
• Travel Requirement , Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).

Required Qualifications:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
• Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience
• Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models
• Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches
• Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications
• Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs
• Proficiency with version control, debugging, and test-driven development in cross-functional teams
• Ability to obtain a SECRET clearance

Preferred Qualifications:

• Hands-on integration or algorithm development with airborne sensing systems
• Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks
• Experience deploying perception software on SWaP-constrained platforms
• Familiarity with validating perception systems during flight test events or operational environments
• Understanding of sensing challenges in denied or degraded conditions
• Exposure to perception applications across air, maritime, and ground platforms

$182,720 - $274,080 a year

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Key Responsibilities:

• Support sensor integration activities from specification through production
• Develop and execute sensor characterisation and calibration procedures for IMUs, GNSS receivers, cameras, and other navigation sensors
• Contribute to sensor trade studies and selection processes

Collaboration:

• Work closely with electrical engineering, mechanical engineering, and software engineering teams on electrical interfaces, power distribution, and signal conditioning, mounting solutions, alignment, and thermal/vibration considerations, software interfaces, drivers, data acquisition, and calibration implementation
• Participate in design reviews across EE/ME/SW disciplines, providing interdisciplinary perspective and coordination

Technical Contributions:

• Develop and execute test plans for sensor performance characterisation and validation
• Document sensor characteristics, trade studies, and integration requirements
• Develop or modify calibration scripts and data processing tools
• Support development of calibration procedures and tooling
• Debug issues spanning hardware-firmware-software boundaries
• Review and contribute to schematics, CAD models, and code as necessary

Requirements:

• BS in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Physics, or related field
• 1-4 years of relevant experience (new grads with strong cross-functional internship/project experience will be considered)
• Demonstrated ability to work across at least two of: electrical, mechanical, software domains

Desirable Qualifications:

• Experience with navigation or localisation sensors (IMUs, GNSS, cameras, altimeters, etc.)
• Exposure to sensor calibration or characterisation activities
• Basic proficiency with engineering tools such as Altium, NX, and Teamcenter
• Familiarity with embedded systems or real-time software
• Understanding of coordinate transformations or sensor fusion concepts
• Experience with automated testing or data acquisition systems
• Knowledge of aerospace environmental testing or standards

Offer Package:

• Pay within range listed ($110,000 - $170,000 a year) + Bonus + Benefits + Equity

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You will be deeply engaged in debugging and optimizing autonomy algorithms, refining system performance based on real-world data, and working closely with end-users to adapt our technology to mission needs.

The ideal candidate will have 5+ years of experience developing autonomy or robotics systems, with a strong foundation in software engineering, and proficiency in programming skills in C++, Rust, Python, or similar languages.

Responsibilities:

• Lead the design, development, and optimization of advanced software systems for autonomy, networking, and mission execution, with a focus on robust performance in dynamic maritime environments
• Drive field testing and deployment strategies, overseeing validation of autonomy, perception, and control systems under operational conditions, and proactively identifying systemic issues
• Own the analysis of mission-critical performance data, translating operational insights into high-impact software improvements that enhance system behavior, reliability, and responsiveness
• Architect and integrate new autonomy capabilities, ensuring compatibility across software, sensors, and vessel hardware, while maintaining a modular and scalable system design
• Partner directly with operators, mission planners, and end-users, translating feedback into actionable requirements and guiding the evolution of the autonomy stack to meet mission needs
• Lead incident response and root cause analysis for complex issues spanning software, hardware, and networking layers, and implement durable solutions that strengthen system resilience
• Mentor and collaborate with cross-functional teams, aligning autonomy development with broader product and mission goals, and elevating engineering practices across the organization
• Establish and maintain technical standards, authoring deployment protocols, diagnostic tools, and documentation to support the reliable scaling of autonomy systems in operational fleets

Qualifications:

• 5+ years of experience developing autonomy or robotics systems, with a strong foundation in software engineering
• Proficient programming skills in C++, Rust, Python, or similar languages, with experience building and maintaining performance-critical systems
• Deep technical background in robotics, autonomy, or embedded systems, particularly within maritime, aerospace, or defense sectors
• Strong understanding of networking protocols and distributed systems, including TCP/IP, UDP, DDS, and message-passing frameworks (e.g., ROS, ZeroMQ)
• Extensive hands-on experience with perception sensors such as cameras, radar, GPS, and IMUs, with emphasis on integration and real-time sensor fusion
• Proven ability to debug and resolve complex, cross-disciplinary issues, spanning software, hardware, networking, and autonomy behavior
• Experience adapting autonomy systems to real-world constraints, including variable environments, limited communications, and platform-specific limitations
• Willingness and capability to lead field deployments (up to 50%), with a history of testing and refining autonomous systems in operational maritime or expeditionary contexts
• Expertise in motion planning, control systems, and behavior architectures, including behavior trees and adaptive navigation algorithms
• Domain knowledge in maritime systems, naval operations, or defense technology, with an understanding of mission-critical operational needs
• Familiarity with distributed autonomy and multi-agent coordination, including decentralized planning and task-sharing in communication-limited settings
• Leadership in system integration, testing, and operationalization, collaborating across engineering, product, and field teams to deliver robust, deployable systems

Benefits:

• Medical Insurance: Comprehensive health insurance plans covering a range of services
• Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care
• Saronic pays 100% of the premium for employees and 80% for dependents
• Time Off: Generous PTO and Holidays
• Parental Leave: Paid maternity and paternity leave to support new parents
• Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses
• Retirement Plan: 401(k) plan
• Stock Options: Equity options to give employees a stake in the company’s success
• Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage
• Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

Physical Demands:

• Prolonged periods of sitting at a desk and working on a computer
• Occasional standing and walking within the office
• Manual dexterity to operate a computer keyboard, mouse, and other office equipment
• Visual acuity to read screens, documents, and reports
• Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies
• Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages)

Additional Information:

This role requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3)

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You will work hands-on with software, networking, and autonomy, ensuring our autonomous service vessels perform reliably in operational settings. This role blends software development, field deployment, and problem-solving to ensure our technology delivers real mission impact.

You will be deeply engaged in debugging and optimizing autonomy algorithms, refining system performance based on real-world data, and working closely with end-users to adapt our technology to mission needs. Whether troubleshooting networking issues, improving sensor integration, or refining control logic, you will play a critical role in making our systems more capable and reliable.

You will be the link between groundbreaking autonomy technology and real-world success. You will work on the front lines of maritime autonomy, ensuring our systems operate effectively in the environments where they matter most. You will impact mission success and shape the future of autonomous maritime operations.

Responsibilities:

• Lead the design, development, and optimization of advanced software systems for autonomy, networking, and mission execution, with a focus on robust performance in dynamic maritime environments
• Drive field testing and deployment strategies, overseeing validation of autonomy, perception, and control systems under operational conditions, and proactively identifying systemic issues
• Own the analysis of mission-critical performance data, translating operational insights into high-impact software improvements that enhance system behavior, reliability, and responsiveness
• Architect and integrate new autonomy capabilities, ensuring compatibility across software, sensors, and vessel hardware, while maintaining a modular and scalable system design
• Partner directly with operators, mission planners, and end-users, translating feedback into actionable requirements and guiding the evolution of the autonomy stack to meet mission needs
• Lead incident response and root cause analysis for complex issues spanning software, hardware, and networking layers, and implement durable solutions that strengthen system resilience
• Mentor and collaborate with cross-functional teams, aligning autonomy development with broader product and mission goals, and elevating engineering practices across the organization
• Establish and maintain technical standards, authoring deployment protocols, diagnostic tools, and documentation to support the reliable scaling of autonomy systems in operational fleets

Qualifications:

• 5+ years of experience developing autonomy or robotics systems, with a strong foundation in software engineering
• Proficient programming skills in C++, Rust, Python, or similar languages, with experience building and maintaining performance-critical systems
• Deep technical background in robotics, autonomy, or embedded systems, particularly within maritime, aerospace, or defense sectors
• Strong understanding of networking protocols and distributed systems, including TCP/IP, UDP, DDS, and message-passing frameworks (e.g., ROS, ZeroMQ)
• Extensive hands-on experience with perception sensors such as cameras, radar, GPS, and IMUs, with emphasis on integration and real-time sensor fusion
• Proven ability to debug and resolve complex, cross-disciplinary issues, spanning software, hardware, networking, and autonomy behavior
• Experience adapting autonomy systems to real-world constraints, including variable environments, limited communications, and platform-specific limitations
• Willingness and capability to lead field deployments (up to 50%), with a history of testing and refining autonomous systems in operational maritime or expeditionary contexts
• Expertise in motion planning, control systems, and behavior architectures, including behavior trees and adaptive navigation algorithms
• Domain knowledge in maritime systems, naval operations, or defense technology, with an understanding of mission-critical operational needs
• Familiarity with distributed autonomy and multi-agent coordination, including decentralized planning and task-sharing in communication-limited settings
• Leadership in system integration, testing, and operationalization, collaborating across engineering, product, and field teams to deliver robust, deployable systems

Benefits:

• Medical Insurance: Comprehensive health insurance plans covering a range of services
• Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care
• Saronic pays 100% of the premium for employees and 80% for dependents
• Time Off: Generous PTO and Holidays
• Parental Leave: Paid maternity and paternity leave to support new parents
• Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses
• Retirement Plan: 401(k) plan
• Stock Options: Equity options to give employees a stake in the company’s success
• Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage
• Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

Physical Demands:

• Prolonged periods of sitting at a desk and working on a computer
• Occasional standing and walking within the office
• Manual dexterity to operate a computer keyboard, mouse, and other office equipment
• Visual acuity to read screens, documents, and reports
• Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies
• Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages)

Additional Information:

This role requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3)

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Our team is focused on making boats go and perform tasks with no human involvement. This job is available at multiple levels, including entry, senior, and staff.

The successful candidate will develop algorithms and models which allow boats to sense and navigate, as well as develop metrics which allow quantitative analysis of improvements and regressions in boat performance.

Responsibilities:

• Develop algorithms and models which allow boats to sense and navigate
• Develop metrics which allow quantitative analysis of improvements and regressions in boat performance
• Analyze and work with large data systems to enable model training and evaluation

Requirements:

• Strong programming fundamentals
• Extensive programming experience and demonstrated ability to work on large systems
• Computing Fundamentals
• A general understanding of operating systems and or similar large scale systems
• An understanding of basic computer architecture
• A demonstrated willingness to learn and pivot based on new information

Useful Skills:

• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch)
• Understanding of various filters and their applications
• Proficiency in Rust
• Experience with maritime or autonomous vehicle projects
• Experience with signals processing or sensor fusion
• Experience with low latency inference and tracking pipelines
• Experience with path planning algorithms
• Experience training and deploying multi modal models
• Experience with various sensors including radar, cameras, and lidar
• Experience developing and optimizing deployed ML systems

Physical Demands:

• Prolonged periods of sitting at a desk and working on a computer
• Occasional standing and walking within the office
• Manual dexterity to operate a computer keyboard, mouse, and other office equipment
• Visual acuity to read screens, documents, and reports
• Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies
• Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages)

Benefits:

• Medical Insurance: Comprehensive health insurance plans covering a range of services
• Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care
• Saronic pays 100% of the premium for employees and 80% for dependents
• Time Off: Generous PTO and Holidays
• Parental Leave: Paid maternity and paternity leave to support new parents
• Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses
• Retirement Plan: 401(k) plan
• Stock Options: Equity options to give employees a stake in the company’s success
• Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage
• Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

Additional Information:

This role requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3).

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Join a multicultural team where English is our daily working language, providing an inclusive and collaborative atmosphere. At Varjo, we believe in the power of different experiences, backgrounds, and ideas coming together to shape the future of immersive computing.

We are seeking the best and brightest to join us on this exhilarating journey. As we continue to set new standards in technology, we invite you to be a part of our vision for the future. When we are done, computers will look nothing like what they do right now.

Areas and Technologies We Work With:

• C++/C Programming
• Embedded C/C++
• SLAM and Computer Vision (image processing, object recognition and detection)
• Algorithm Design and Optimization
• GPU/CPU Programming
• Unity and Unreal Development
• Sensor Fusion
• ROS (Robot Operating System)
• ADAS (Advanced Driver Assistance Systems)
• 3D Reconstruction
• CUDA
• Optics and Cameras
• Audio and Video Streaming

Apply Now Submit an open application, including your CV, a link to your LinkedIn profile, and details of projects that make you particularly proud. If you have connections at Varjo, feel free to drop some names. Join Varjo and play a crucial role in shaping the future of immersive computing.

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As part of Anthropic's Global Safety, Intelligence, and Security (GSIS) team, the Security Technology Deployment Specialist will own the validation, standardization, and deployment of physical security technology across Anthropic's rapidly expanding global office portfolio.

You'll define the installation standards, configuration baselines, and deployment processes that the broader team executes against — from access control migrations and intercom replacements to AI analytics onboarding and new application integrations. You'll work across InfoSec, IT, Networking, and Identity Management to ensure every security application passes review, integrates with SSO, and is supported within Anthropic's infrastructure before going live.

Responsibilities:

• Validate and deploy new and replacement security technology platforms including access control systems, intercom solutions, video management, visitor management, and AI/analytics tools across all Anthropic locations
• Build and maintain staging environments for pre-production testing and validation of all security applications, hardware, firmware, and system configurations
• Define installation standards, configuration baselines, licensing structures, update procedures, and maintenance requirements for every deployed security platform
• Deploy integrations between security applications, validating that platforms communicate and share data correctly before transitioning to production
• Support colleagues' security applications through InfoSec review processes, ensuring new tools meet Anthropic's information security and compliance requirements
• Coordinate SSO integration for newly deployed security applications with Identity Management and IT teams
• Transition applications requiring custom integration or data pipeline development to the IT Engineering team with documented technical requirements for roadmap inclusion
• Initiate onboarding of deployed hardware and systems into Anthropic's health monitoring platform to ensure operational visibility from day one
• Develop standardized deployment playbooks, checklists, configuration templates, and handoff documentation that enable repeatable installations across all current and future sites
• Evaluate security platforms for scalability, identifying capacity constraints, single points of failure, and architectural limitations before they impact operations at scale
• Coordinate with Networking, IT Infrastructure, and Facilities teams to ensure all infrastructure prerequisites (network, power, rack space, cloud resources) are met prior to deployment
• Execute structured handoffs to Project Management (for site programming), Break-Fix Support (for maintenance), and Access Control Administration (for ongoing system management), ensuring each team has the standards and documentation to execute independently

You may be a good fit if you:

• Have 5+ years of hands-on experience deploying, validating, and managing enterprise physical security technology across a large or rapidly growing organisation
• Have deployed security technology across 50 or more sites, or have demonstrated experience in a high-growth environment where deployment velocity and repeatability were essential
• Have built standardized deployment processes, playbooks, and configuration templates that enabled others to execute installations independently and consistently
• Have experience working across InfoSec, IT, Networking, and Identity Management teams to onboard and integrate security applications into enterprise environments
• Have supported SSO integration, InfoSec reviews, and enterprise application onboarding workflows for security tools
• Possess broad technology experience across access control, video management, intercoms, visitor management, AI/analytics, and alarm monitoring platforms
• Are a strong technical communicator who can define standards clearly enough that PMs, integrators, and service teams execute against them without ambiguity
• Have experience with IP networking, VLANs, PoE, and infrastructure requirements for security devices
• Are comfortable with 25% travel for site deployments, commissioning, and validation

Strong candidates may have:

• Previous experience at a hyper-growth technology company or managing security technology programs for high-profile corporate environments
• Experience with Anthropic's specific technology stack: Genetec Security Center, Axis cameras, Wavelynx, Commend Symphony Cloud, Alcatraz.ai, Ambient.ai, SureView, Envoy
• Industry certifications: Genetec, Axis, CCNA, PSP, CPP, or PMP
• Experience with OSDP, modern credential technologies, and encryption protocols for physical security systems
• Familiarity with scripting or automation (Python, PowerShell) for configuration management and deployment automation
• Experience with health monitoring and observability platforms
• Experience with change management, configuration control, and version-controlled infrastructure documentation

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