Design and develop full vehicle level structural finite element models to analyze and enhance NVH performance for Mahindra & Mahindra’s automotive division.
Responsibilities
Build and refine FE models for full vehicle and sub-assembly structures
Collect and integrate diverse structural system inputs for Drive Validation Packages
Develop detailed meshing guidelines
Collaborate with multidisciplinary design teams to propose engineering solutions
Perform detailed analysis to identify improvement areas and provide recommendations
Requirements
Bachelor of Engineering (BE) in Mechanical Engineering
Bachelor of Technology (B.Tech) in Mechanical Engineering
The Alignment Technician is responsible for performing precision wheel alignments according to Porsche factory specifications and dealership standards, including diagnosing and correcting suspension, steering, and drivability concerns.
Responsibilities
Perform precision wheel alignments according to Porsche factory specifications and dealership standards
Inspect, diagnose, and correct alignment, suspension, steering, and drivability concerns
Perform suspension-related repairs and adjustments to restore vehicle performance and handling characteristics
Road-test vehicles before and after repairs to verify alignment accuracy and ensure optimal driving performance
Maintain a high level of quality and attention to detail expected of a luxury performance brand
Requirements
Automotive technical training preferred
Nice to have: Experience working with European luxury or performance vehicles
Nice to have: Experience with Porsche, Audi, BMW, or Mercedes-Benz
The ADAS Intern/Co-op supports the ADAS Environmental Modelling teams by integrating, developing, testing, and debugging low-speed ADAS algorithms such as parking, trailering, surround view, and camera calibration, as well as high-speed sensor fusion algorithms.
Responsibilities
Develop building blocks for ADAS features and algorithms
Design and implement conventional image processing algorithms
Design, develop/tune, and optimize deep learning models for ADAS computer vision features
Demonstrate knowledge of late (object-level) and early (raw-data) sensor fusion
Create or modify test cases based on requirements to cover new or modified functionality
Requirements
Bachelor’s degree in engineering
Enrolled in a master’s or PhD degree program in Mechanical Engineering / Electrical Engineering / Automotive Engineering/ Computer Science or equivalent
Nice to have: ADAS/AD academic/industry projects
Nice to have: Execution of test suites in a model/software in the loop environment (MIL/SIL)
Nice to have: development of portable, reusable and modular software in automotive environment
Design Engineer bridging design and production, creating and optimizing innovative product designs for manufacturability, collaborating cross‑functionally and ensuring compliance with internal and industry standards.
Compensation
$105,980—$194,390 USD
Responsibilities
Challenge existing design requirements and define new design standards
Act as SME for PLM, GD&T, CAD-design best practices
Ensure all designs meet required engineering, manufacturability, and industry standards
Check technical documentation before release into PLM
Analyze drawings, models, and documentation for GD&T accuracy, completeness, manufacturability, assemble‑ability and inspectability
Lead closed-loop simulation for robotics, autonomy, perception, planning, controls, and machine systems, bridging virtual environments with production robotics software and physical-machine testing.
Compensation
$147,760.00 - $240,110.00
Responsibilities
Define the technical architecture for robotics and Physical AI simulation.
Build closed-loop environments for autonomous and semi-autonomous machines.
Lead Software-in-the-Loop, Hardware-in-the-Loop, and Vehicle-in-the-Loop strategies.
Lead the software, guidance, navigation, and control (GNC), autonomy, and simulation capabilities for Long Wall’s Cyclops interceptor and RSX target vehicle programs.
Responsibilities
Own the architecture, development, integration, verification, and flight performance of Long Wall’s autonomous systems
Translate mission objectives into system requirements, technical roadmaps, interface definitions, verification plans, and measurable performance criteria
Build robust software and simulation infrastructure that enables rapid development, testing, iteration, and deployment of flight-critical capabilities
Lead the development and validation of high-performance guidance, navigation, control, trajectory-planning, estimation, perception, and autonomy algorithms
Apply modern computing, perception, and autonomy techniques to solve demanding problems at the tactical edge
Principal Modelling and Simulation EngineerNewStirling Dynamics · Bristol, England
Engineer-NVHNewMahindra & Mahindra Limited · Chennai, India
Motion Planning & Control EngineerNewConstructor Labs · Luxembourg
Senior Design EngineerDivergent · Torrance, US
Director, Autonomous SystemsLong Wall · Long Beach, US
Driver Development CoachOracle Red Bull Racing (Red Bull Technology Group) · Milton Keynes, United Kingdom