Multi-Agents Mission Planning Engineer
Design algorithms that decompose high-level missions into structured, solvable guidance tasks for autonomous robots. Develop and optimize mission and path-planning frameworks for autonomous systems. Build scalable backend integrations for mission guidance and execution. Run simulations and validation campaigns to assess autonomy consistency across diverse mission types. Partner with AI/ML, backend, and product teams to ensure algorithms are efficient, testable, and deployable in real-time environment.
Senior Manager, Perception
Lead high-impact Perception teams, managing technical roadmap and milestone goals. Collaborate with AI and software leaders, simulation, systems design, and mission assurance teams to deliver a dynamic objects perception system across various sensor modalities and perception pipelines. Build and lead a group of managers and engineers responsible for roadmap, productivity, execution, and impact. Set vision for and grow a team of software engineers involved in planning, execution, and success of complex technical projects, providing technical leadership. Collaborate across teams to brainstorm and accelerate perception capability development. Provide summaries, progress updates, and recommendations to executive leadership. Establish best practices and statistical rigor around data-driven decision-making. Stay updated on industry and academic trends in AI and perception.
Intern Robotics Software Engineer
Lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. Explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Create models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. Collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities that can be deployed on physical hardware for industrial applications. Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms that enable robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap.
Senior Engineer, XBAT Simulation Modeling
Build and scale simulation frameworks for integrated testing of autonomy, GNC, and embedded systems in C++. Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release. Implement scenario simulation tooling and formal test infrastructure. Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios. Develop infrastructure for CI integration, parallel simulation execution, and automated regression testing. Profile, optimize, and validate C++ codebases for performance, determinism, and fidelity. Contribute to architecture decisions that define the next generation of aircraft simulation tools within Shield AI. Mentor engineers and guide best practices in C++, simulation architecture, and performance engineering.
Electrical Engineer - Systems
As an Electrical Engineer - Systems, you will work on Machine Learning/AI hardware systems projects to develop solutions for current and future data center deployments. Your responsibilities include working with the hardware team on test vehicle and bring up board design, evaluating end-to-end system design trade-offs. You will lead EE circuit level design and collaborate with power, thermal, and mechanical teams to drive AI hardware system design. The role requires working with product teams to ensure system goals are met and collaborating with ASIC/FPGA, Software, and Verification teams for proper verification of features. You will also engage with manufacturing teams to ensure designs are manufacturable and ready for volume production, support field teams for deployed systems, gather system requirements, define architecture, execute hardware design, product validation, lead system bring up, validation, NPI, deployment, and sustaining of hardware solutions. Cross-functional collaboration with Hardware, Software, Mechanical, Thermal, Validation, Manufacturing, and external vendors is essential, as is driving system development from concept through production, and leading debug and root cause analysis of deployed systems.
Robotics Engineer
The Production AI Ops Lead designs and develops the production lifecycle of full-stack AI applications while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and resilient cloud infrastructure for international government partners. Responsibilities include owning the production outcome with full accountability for long-term performance and reliability of AI use cases across international government agencies; ensuring full-stack integrity by overseeing the end-to-end health of the platform and seamless integration between AI core and other components; building automated systems to monitor model performance and data drift across dispersed environments; managing the technical lifecycle within diverse regulatory frameworks; leading incident response for production issues in mission-critical environments and establishing preventive guardrails; translating technical performance metrics into clear insights for senior government officials; and partnering with Engineering and ML teams to influence future technical architecture and decisions based on field learnings.
Power Architect
Oversee power architecture, implementation, and execution in silicon from concept to high-volume deployment, and propose high-ROI features to maximize performance under power envelope. Build chip and system-level power models grounded in empirical data and experience to guide organization-wide energy efficiency strategy. Collaborate with chip and platform architecture/design teams to explore and implement power management features, including the specification and implementation of digital/mixed-signal IP, sensing and telemetry, firmware/system software, and silicon characterization methodology. Partner with silicon design and implementation teams to optimize performance under power envelope through clocking and power domain architecture, voltage/frequency selection, microarchitecture and physical-design driven power reduction, post-silicon voltage margin optimization, and workload-informed power optimization. Work with ecosystem partners (EDA, ASIC, IP, component vendors) to drive innovations that can improve energy efficiency.
Senior Software Engineer, Pilots
As a Senior Software Engineer on the Pilots team, the responsibilities include delivering robust, thoroughly tested, and maintainable C++ code for edge and robotics platforms, designing, implementing, and owning prototype perception systems that may transition into production-grade solutions, constructing and refining real-time perception pipelines including detection, tracking, and sensor fusion, adapting and integrating ML and CV models for Hayden-specific applications, driving technical decision-making balancing prototyping speed with production readiness, collaborating with the Product team and cross-functional Engineering departments, and contributing to shared infrastructure, tooling, and architectural patterns as pilots mature into foundational products.
RTL & Co-design Engineer (junior)
Design and implement key compute, memory, and interconnect components for a custom AI accelerator by producing clean, production-quality microarchitecture and RTL for major accelerator subsystems. Contribute to architectural studies including performance modeling and feasibility analysis. Collaborate with software, simulator, and compiler teams to ensure hardware/software co-design and workload fit. Partner with design verification and physical design teams to ensure functional correctness, timing closure, area/power targets, and clean integration. Build and review performance and functional models to validate design intent. Participate in design reviews, documentation, and bring-up support across the full silicon lifecycle.
Senior SLAM Engineer
Design and implement state-of-the-art SLAM algorithms for real-time localization and mapping using multi-modal sensor inputs such as cameras, IMUs, GPS, and wheel encoders. Develop robust online and offline state estimation methods for complex urban and highway environments. Focus on 3D geometric vision problems including VSLAM, VIO, SfM, and scene reconstruction. Implement robust motion estimation, feature matching, loop closure, and map optimization pipelines. Apply non-linear optimization and filtering techniques like bundle adjustment, graph SLAM, and EKF to maximize system accuracy and robustness. Collaborate with sensor calibration and perception teams to improve system performance and consistency. Evaluate and benchmark system performance using large-scale datasets and real-world driving scenarios. Contribute to system integration, continuous validation, and deployment of SLAM modules on autonomous vehicle platforms. Mentor junior engineers and contribute to technical leadership within the team.
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