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Ascentt

Enterprise AI, data science, cloud solutions

Powertrain Engineer

Full-TimeUpdated on 10/21/2026
No salary listed
Mid, Senior, Expert
Bachelor's, Master's, PhD
Plano, TX, USA+1 moreMore locations: Ann Arbor, MI, USA
HybridThe Ann Arbor role is on-site/hybrid; local candidates or those willing to relocate.
Mechanical EngineeringDesign Engineering

About the job

Requirements
  • A bachelor's degree in Mechanical, Electrical, Automotive, or Aerospace Engineering, or a related field.
  • Mid-level candidates need 3–7 years of relevant powertrain or propulsion systems experience.
  • Senior candidates need 8 or more years of relevant experience, including ownership of systems through a production program.
  • Hands-on experience in one or more of hybrid systems, battery-electric propulsion, internal combustion engines, transmissions or driveline, thermal management, torque management, or energy management.
  • Proficiency with MATLAB/Simulink and data analysis tools.
  • Experience with test planning, instrumentation, and data acquisition using dyno, HIL, or vehicle-level methods.
  • Working knowledge of CAN communication and vehicle networks.
  • A master's degree or PhD in a relevant engineering discipline is preferred.
  • Experience with hybrid architectures (P0–P4, series, power-split) and associated control strategies is preferred.
  • Familiarity with battery systems, power electronics, or e-motor integration is preferred.
  • Experience with GT-SUITE, AVL, dSPACE, ETAS INCA, Vector CANape, or similar toolchains is preferred.
  • Knowledge of ASPICE, ISO 26262, or functional safety processes is preferred.
  • Experience with 1D/3D thermal modeling and vehicle-level energy efficiency optimization is preferred.
  • Prior experience taking a propulsion program from concept through SOP is preferred.
Responsibilities
  • Develop and validate powertrain systems and subsystems across hybrid (HEV/PHEV), battery-electric (BEV), and internal-combustion-engine applications.
  • Define system-level requirements, architectures, and interfaces, and cascade them to component-level specifications.
  • Support development of transmission, driveline, thermal management, torque management, and energy management strategies.
  • Perform modeling, simulation, and analysis to predict system performance, efficiency, and durability using MATLAB/Simulink, GT-SUITE, AVL Cruise, or equivalent tools.
  • Plan and execute dyno, HIL, bench, and in-vehicle testing; analyze data and drive issue resolution to root cause.
  • Support calibration and controls development, including torque arbitration, energy management, and thermal strategies.
  • Collaborate with controls, electrical, battery, vehicle integration, safety, and manufacturing teams.
  • Contribute to DFMEA, DVP&R, design reviews, and technical documentation.
  • Interface with suppliers on component selection, specification, and technical issue resolution.
  • At the senior level, provide technical leadership, mentor junior engineers, and own major subsystems from concept through production launch.
Desired Qualifications
  • A master's degree or PhD in a relevant engineering discipline.
  • Experience with hybrid architectures (P0–P4, series, power-split) and associated control strategies.
  • Familiarity with battery systems, power electronics, or e-motor integration.
  • Experience with GT-SUITE, AVL, dSPACE, ETAS INCA, Vector CANape, or similar toolchains.
  • Knowledge of ASPICE, ISO 26262, or functional safety processes.
  • Experience with 1D/3D thermal modeling and vehicle-level energy efficiency optimization.
  • Prior experience taking a propulsion program from concept through SOP.

About the company

Ascentt provides AI, ML, data science, and cloud-focused solutions to enterprise clients through a mix of strategy, engineering, and managed services. It guides projects through THINK, BUILD, RUN, and REPEAT to turn data assets into actionable insights. The company stands out with its global delivery center, dedicated AI Solutions Lab, and industry focus on automotive and manufacturing for cost-efficient, enterprise-scale implementations. Its goal is to enable data-centric digital transformation across cloud platforms that lead to measurable business outcomes.

Company Size

201-500

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

2007

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Simplify's Take

What believers are saying

  • Ascentt won Emerging GenAI Solution of the Year in June 2026 for agent products.
  • Reuters Events Automotive Europe 2026 gave Ascentt a stage with industrial decision-makers.
  • The company claims 150 AI deployments and nearly $1 billion cumulative impact, aiding sales.

What critics are saying

  • Accenture and Databricks deepened their alliance in March 2026, squeezing services partners.
  • Ascentt’s public proof comes from awards and events, not disclosed recurring revenue or customers.
  • If Fortune 100 manufacturers insource AI teams, Ascentt’s consulting-led model gets commoditized by 2027.

What makes Ascentt unique

  • Ascentt’s 2026 awards validate a manufacturing-focused AI niche, especially repair and supply-chain agents.
  • Its Pune Global Delivery Center and India AI lab support lower-cost execution and R&D.
  • CEO Nilesh Vyas sells a repeatable THINK-BUILD-RUN-REPEAT model for enterprise transformation.

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Benefits

  • Hybrid Work Options