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Develops advanced air mobility software (microservices, real-time systems) for NASA’s NAMS-2 project, integrating feedback from simulations and flight tests while managing DevSecOps pipelines and collaboration with aviation partners.
Principal ML Engineer builds 3D foundation models for autonomous driving, focusing on geometric vision, neural rendering, and world modeling using large-scale sensor data and PyTorch/C++.
Leads automotive electronic power steering hardware projects (from quotation to mass production), managing technical teams, budgets, risks, and validation while ensuring compliance with Bosch’s development process and ISO 26262 safety standards.
On-site composite design and release engineer for hypercar body systems—driving 3D CAD packaging, composite material selection, manufacturing drawings, and part releases using tools like Siemens NX in Torrance, CA.
Design and implement cybersecurity controls for autonomous truck software, embedding security into embedded Linux/QNX systems and automotive networks while collaborating with safety and autonomy teams.
Lead a team to design and deploy machine-learning models that extract features from sensors and enable autonomous vehicles to localize precisely in real time across diverse roads.
Leads cross-functional teams to plan, prioritize, and mitigate risks for autonomous-vehicle software and hardware projects, coordinating between autonomy, engineering, product, and operations.
Technical sales engineer liaising between ConMet and customers to manage and expand the aftermarket product portfolio, leveraging engineering expertise to drive new opportunities and support operations.
Develops technical specifications and manages hybrid vehicle control systems for LATAM programs, overseeing hardware controller development, supplier qualification, failure analysis, and project planning in collaboration with Stellantis.
Systems Engineer II defines and maintains technical requirements for autonomous vehicle systems, collaborates on design reviews, and works with test teams to verify safety and performance in a fast-paced startup environment.
Senior Systems Engineer II at May Mobility in Ann Arbor designs and validates autonomous vehicle capabilities, defining system requirements, building simulation test suites, and analyzing real-world data to improve AV safety and performance.
Entry-level software engineering role for recent graduates (2022–2025) focused on developing applications using React and Java, likely for a mobility-related product.
Designs and leads cloud-native AI/ADAS validation software for automotive testing, shaping technical direction and collaborating with engineering teams and stakeholders.
Leads end-to-end technical projects in smart mobility, IoT, and data analytics, ensuring client satisfaction, budget adherence, and on-time delivery while coordinating cross-functional teams and managing contracts.
Develops in-house software stacks for vehicle suspension and TPMS systems, handling system design, embedded software, and automotive standards. Core technologies include C/C++, Matlab/Simulink, real-time systems, and Autosar.
Design and build microservices, data APIs, and core platform services for a B2B API platform to monetize vehicle and connected car data, using AWS with cross-cloud integration, focusing on secure data sharing with external partners.
Senior Data Platform Engineer designing and building microservices, data APIs, and core platform services for a B2B data platform on AWS with Azure integration. Responsibilities include implementing OAuth 2.0/OIDC, CI/CD pipelines, IaC, and maintaining observability across multi-cloud environments.
A 3-6 month internship developing deep learning models for radar-based perception in autonomous vehicles, focusing on improving sensor data processing for advanced driver-assistance systems.
Build and extend an IoT platform for EV charging payments and a new Android POS app using Kotlin, Spring Boot, Angular, and Android SDK.
A senior cybersecurity risk analyst bridging OT/ICS environments and business teams to translate technical risks into actionable insights, enabling secure operations and decision-making without gatekeeping.
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