You will work on interdisciplinary challenges, collaborate across teams, and deploy critical software in real-world environments. If you thrive in a fast-paced environment, enjoy solving complex problems, and are passionate about creating impactful robotics systems, this opportunity is for you.

Key Responsibilities:

• Develop Mission-Critical Software: Engineer scalable and robust solutions for networking, sensor integration, and autonomy across robotic platforms.
• Sensor Integration: Work with a variety of sensors (e.g., cameras, LiDAR, IMUs) to enable perception, localization, and navigation.
• Networking Systems: Design and optimize distributed communication networks and message-passing frameworks for multi-robot coordination.
• Collaborate Cross-Functionally: Partner with hardware, systems, and manufacturing teams to seamlessly integrate software into physical systems.
• Real-World Deployment: Travel up to 25% to test, debug, and deploy systems in operational environments.
• Iterative Development: Contribute to the entire software lifecycle, including prototyping, implementation, testing, and deployment.
• Optimize Performance: Enhance system efficiency, such as improving latency, battery consumption, and resource utilization.
• Troubleshoot and Debug: Analyze and resolve issues in deployed systems, ensuring reliability and operational success.

Requirements:

• Technical Expertise: Bachelor’s or Master’s degree in Robotics, Computer Science, Software Engineering, Mathematics, or Physics.
• C++ and Rust Proficiency: 2+ years of hands-on experience developing production-grade software in C++ and/or Rust.
• Networking Knowledge: Experience with distributed communication networks, protocols, and message standards.
• Sensor Integration: Proven ability to work with and integrate sensors (e.g., LiDAR, cameras, IMUs) into robotics systems.
• Systems-Level Thinking: Ability to navigate and contribute to complex systems and established codebases.
• Real-World Impact: Passion for building software that directly influences mission-critical outcomes.
• Travel Flexibility: Willingness to travel up to 25% to test and deploy systems.

Preferred Qualifications:

• Advanced Robotics: Experience with motion planning, perception, localization, and multi-agent coordination.
• Simulation Expertise: Proficiency in designing Software-in-the-Loop (SIL) simulation environments.
• Hardware Integration: Experience working with embedded systems and physical devices.
• Performance Optimization: Familiarity with metrics and optimization techniques for robotics systems.
• Programming Skills: Additional experience with Python, and/or real-time operating systems.
• Machine Learning: Knowledge of AI/ML applications in robotics.
• Security Clearance: Active or prior U.S. Secret clearance is a plus.

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This role involves developing modular capabilities to support the DoD and IC customers across the space domain. You will work with mission partners and operators to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

Key responsibilities include:

• Owning the software solutions that are deployed to customers
• Developing Space C2 and Mission Management capabilities to enable delivery of end-to-end mission systems
• Integrating with legacy systems to unlock 21st-century capabilities
• Writing code to improve products and scale the mission capability to different users
• Collaborating across multiple teams to plan, build, and test complex functionality
• Creating and analyzing metrics that are leveraged for debugging and monitoring
• Triage issues, root cause failures, and coordinate next-steps
• Partnering with end-users to turn needs into features while balancing user experience with engineering constraints

Required qualifications include:

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• Ability to quickly understand and navigate complex systems and detailed requirements
• Capable of solving complex technical problems with little oversight
• Clear communication and organizational skills including documentation and training material
• 3+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
• Experience with Space C2 software systems and spacecraft operations
• A desire to work on critical software that has a real-world impact
• Currently possesses and is able to maintain an active U.S. Top Secret SCI security clearance

Preferred qualifications include:

• Experience with Go, Rust, or C++
• Experience with deployment tooling such as Kubernetes, OpenShift, or Helm
• Previous exposure to space ground hardware like sensors, radars, telescopes
• Previous exposure to space-related simulation and hardware integration
• A desire to work on critical software in the space domain
• Experience with existing space software standards and modular software services development

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Key responsibilities include:

• Owning the software solutions that are deployed to customers
• Developing Space C2 and Mission Management capabilities to enable delivery of end-to-end mission systems
• Integrating with legacy systems to unlock 21st-century capabilities
• Writing code to improve products and scale the mission capability to different users
• Collaborating across multiple teams to plan, build, and test complex functionality
• Creating and analyzing metrics that are leveraged for debugging and monitoring
• Triage issues, root cause failures, and coordinate next-steps
• Partnering with end-users to turn needs into features while balancing user experience with engineering constraints

Required qualifications include:

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• Ability to quickly understand and navigate complex systems and detailed requirements
• Capable of solving complex technical problems with little oversight
• Clear communication and organizational skills including documentation and training material
• 3+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
• Experience with Space C2 software systems and spacecraft operations
• A desire to work on critical software that has a real-world impact

Preferred qualifications include:

• Experience with Go, Rust, or C++
• Experience with deployment tooling such as Kubernetes, OpenShift, or Helm
• Previous exposure to space ground hardware like sensors, radars, telescopes
• Previous exposure to space-related simulation and hardware integration
• A desire to work on critical software in the space domain
• Experience with existing space software standards and modular software services development

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This role is an exciting opportunity to be responsible for integrating avionics systems, sensors, actuators, and payloads onto the XBAT and Launch and Recovery vehicle ensuring from concept through production.

Responsibilities: Support integration of avionics systems, sensors, actuators, and payloads into the aircraft and launch/recovery vehicle Assist in harness design Support hardware bring-up, integration testing, and debugging Participate in root cause investigations and corrective actions Create and maintain integration documentation, test procedures, and verification reports Work closely with mechanical, embedded, software, and manufacturing teams to resolve integration challenges Support environmental and qualification testing of flight hardware Contribute to continuous improvement efforts across hardware development projects

Required qualifications: Bachelor’s degree in Electrical, Mechanical, Aerospace, or Systems Engineering (or equivalent experience) 0–3 years of relevant industry or internship experience Strong fundamentals in electrical systems and hardware integration Hands-on experience working with embedded systems, sensors, or power systems (academic projects acceptable) Comfort working with lab equipment (oscilloscope, DMM, power supplies, etc.) Strong troubleshooting mindset and willingness to work hands-on with hardware Ability to work in a fast-paced, iterative development environment

$91,660 - $137,490 a year

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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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Shield AI is scaling and growing rapidly. The ideal candidate will demonstrate adaptability, a growth mindset, and a willingness to learn new technologies and methodologies quickly in a fast-paced, evolving environment. This is an opportunity to contribute to something truly remarkable,advancing autonomy that is changing the world,while thriving in a mission-driven, collaborative, and high-performance culture.

Responsibilities:

• Develop automated regression, integration, and system-level tests to ensure Hivemind software quality and stability across releases.
• Identify, reproduce, and diagnose software issues,collaborating closely with development teams to drive fixes and improvements.
• Create and execute test plans and documentation for autonomy software in simulated environments, ensuring mission and safety requirements are met.
• Design, implement, and maintain simulation-based test frameworks to validate Hivemind autonomy behavior and performance.
• Build tools and utilities in Python to automate testing, data processing, and analysis workflows.
• Develop test harnesses and data validation tools for Software-in-the-Loop (SIL) / Hardware-in-the-Loop (HIL) / Vehicle-in-the-Loop (VIL) and simulation environments.
• Contribute to the definition of testing methodologies, metrics, and performance benchmarks for autonomy software validation.
• Support the scaling and reliability of simulation infrastructure used for large-scale software validation.
• Maintain detailed and accurate test documentation, ensuring traceability and knowledge sharing across teams.
• Work with developers to integrate test coverage directly into the development pipeline (CI/CD).

Requirements:

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Aerospace Engineering, or related technical field.
• 3–5 years of experience in software integration, testing, or quality assurance, preferably in robotics, aerospace, or autonomous systems.
• Proficiency in Python for test automation, scripting, and data analysis.
• Experience with simulation environments (e.g., Gazebo, Unreal, or custom simulation frameworks) and test automation tools.
• Strong understanding of software testing principles, including integration, regression, and system-level validation.
• Familiarity with continuous integration (CI/CD) and test pipelines (e.g., GitLab CI, Jenkins).
• Excellent analytical, problem-solving, and debugging skills.
• Strong collaboration and communication skills with software and systems teams.
• Adaptability, growth mindset, and willingness to learn new technologies quickly in a fast-paced, scaling environment.
• Self-starter with a sense of urgency, motivation, and comfort operating in ambiguity.
• U.S. Citizenship and ability to obtain and maintain a SECRET clearance.

Preferences:

• Experience testing autonomous systems, robotics software, or flight autonomy algorithms.
• Familiarity with C++ and software/hardware integration concepts.
• Experience with HIL or VIL test environments.
• Exposure to machine learning or AI-driven autonomy systems.
• Background in simulation infrastructure design, distributed testing, or test data management.
• Quality Assurance (QA) experience, including process definition, metrics, and validation tracking.
• Experience with aerospace, defense, or mission-critical software.
• Active SECRET clearance preferred.

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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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This role will focus on the research, evaluation, and development of robust onboard computing architectures, embedded systems, and high-reliability network solutions that power Saronic’s autonomous vessel platforms.

The ideal candidate will have deep experience designing and validating ruggedized electronic systems for mission-critical applications, including embedded computing, network topologies, data management, and environmental hardening for commercial maritime and defense use cases.

Key Responsibilities:

• Lead R&D initiatives in ruggedized computing and networking architectures for autonomous surface vessels.

• Design, evaluate, and integrate embedded computing systems, data acquisition units, and network infrastructures optimized for high performance in harsh marine environments.

• Conduct benchmarking and trade studies on ruggedized COTS and custom computing solutions (edge computers, network switches, routers, storage units, etc.).

• Develop and validate system architectures for high-availability networks supporting autonomy, sensing, and control subsystems.

• Collaborate with software, autonomy, and mechanical engineering teams to ensure reliable data throughput and system resilience across vessel networks.

• Specify and validate environmental and EMC/EMI compliance for computing and networking hardware.

• Prototype and test system configurations in laboratory and field conditions, including shock, vibration, temperature, and humidity testing.

• Author technical documentation, including R&D reports, trade studies, wiring diagrams, and integration standards.

• Mentor junior engineers and contribute to internal design guidelines for next-generation computing and network systems.

• Support system integration and troubleshooting during prototype builds, dockside commissioning, and sea trials.

Required Qualifications:

• B.S. or M.S. in Electrical Engineering, Computer Engineering, or related discipline.

• 7+ years of experience in electrical or systems engineering focused on computing and networking technologies in ruggedized or mission-critical environments.

• Expertise in embedded computing platforms, network design, and hardware integration.

• Experience with Ethernet, CAN, serial, and fiber-optic communication protocols and their implementation in distributed systems.

• Proven track record of benchmarking and trade study development for hardware performance and reliability.

• Familiarity with marine, aerospace, automotive or defense environmental standards (MIL-STD-810, MIL-STD-461, IEC 60945, etc.).

• Strong understanding of power distribution, grounding, and thermal management in dense electronics enclosures.

• Excellent communication skills and experience producing clear technical documentation and reports.

• Hands-on experience with system integration and environmental testing.

Preferred Qualifications:

• Experience developing or integrating ruggedized computing solutions for maritime or defense systems.

• Familiarity with network security, IEEE 1588/PTP Protocol, VLAN management, and deterministic networking for real-time systems.

• Knowledge of data logging, storage, and redundancy architectures in distributed sensor networks.

• Experience with hardware-in-the-loop (HITL) and hardware-software co-simulation environments.

• Background in autonomous or remote vehicle platforms.

• Understanding of cybersecurity standards and secure network design principles.

• Experience using 3D CAD tools to communicate with other engineering groups (e.g. Siemens NX, Creo, SolidWorks)

• Experience utilizing ECAD tools to define/draw single line diagrams and schematics (e.g. Altium, Zuken, AutoCAD, Siemens Capital)

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

Key Responsibilities:

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

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

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

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

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

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

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

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

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

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

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

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

Required Qualifications:

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

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

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

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

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

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

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

• Ability to obtain and maintain a security clearance

Preferred Qualifications:

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

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

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

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

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

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

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Responsibilities:

• Systems Integration & Coordination: Lead cross-functional initiatives for new infrastructure integration, establishing clear ownership, timelines, and communication channels between teams. Drive end-to-end planning for major infrastructure transitions including platform modernization and new tech adoption.
• Performance & Efficiency: Partner with engineering teams to identify optimisation opportunities, track performance metrics, and prioritise work that unlocks capacity gains. Coordinate across runtime and accelerator layers to ensure efficiency wins ship without compromising reliability.
• Launch Coordination: Drive end-to-end readiness for model and feature launches across multiple hardware platforms. Establish processes for cross-platform validation, manage launch timelines, and ensure smooth handoffs between runtime, accelerator, and downstream teams.
• Strategic Planning: Own and prioritise the inference deployment roadmap, working closely with engineering leadership to prioritise initiatives and manage dependencies. Provide visibility into upcoming changes and their organisational impact.
• Stakeholder Communication: Build strong relationships across research, engineering, and product teams to understand requirements and constraints. Translate technical complexities into clear updates for leadership and ensure alignment on priorities and timelines.
• Process Improvement: Identify inefficiencies in current workflows and drive systematic improvements. Establish metrics and dashboards to track infrastructure health, capacity utilisation, and deployment success rates.

You may be a good fit if you:

• Have several years of experience in technical program management, with proven success delivering complex infrastructure programs, preferably in ML/AI systems or large-scale distributed systems
• Have deep technical understanding of inference systems, compilers, or hardware accelerators to engage substantively with engineers and identify technical risks.
• Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives
• Have strong stakeholder management skills and can build trust with both technical and non-technical partners
• Are comfortable navigating competing priorities and using data to drive technical decisions
• Have experience with infrastructure scaling initiatives, hardware integrations, or deployment governance
• Thrive in fast-paced environments and can balance strategic planning with tactical execution
• Are passionate about AI infrastructure and understand the unique challenges of deploying and scaling large language models

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How we're different

We believe that the

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What you'll do

Wir als Team

planen, koordinieren und verantworten die mechanische Hardwareintegration der Antriebs- und Verbundprüfstände für alle Antriebssysteme im Porsche Konzern. Dazu sind wir in sehr engem Austausch mit Motorsport sowie der Vor- und Serienentwicklung. Zudem verantworten wir aktiv die mechanische Weiterentwicklung unseres Prüffelds.

Was erwartet dich?

Deine Themenschwerpunkte sind…

• Mitwirkung bei der Auslegung und Konstruktion von mechanischen Anbindungsteilen.
• Aufbau und Analyse von bauteilentwicklungsunterstützenden Simulationsmodellen.
• sehr enger Bauteilbezug mit garantierter Hardwareumsetzung und Verbau am Prüfstand innerhalb der Praktikumszeit
• Tiefer Einblick in den Automotiv-Produktentstehungsprozess

What you need

Was zeichnet dich aus?

• einen Studienplatz für Ingenieurwissenschaften (Maschinenbau, Fahrzeugtechnik, Produktentwicklung oder vergleichbar) und du bist mindestens im dritten Semester oder befindest dich im Gap Year zwischen Bachelor und Master
• Interesse für Fahrzeugtechnik, Konstruktion, Simulation und Werkstoffe
• eine selbstständige Arbeitsweise

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