Automotive E/E Architecture Engineer

JOB DESCRIPTION

Defining and shaping E/E architectures for next-generation mobility applications
Anticipate and drive future trends for acquisition and customer proposals for E/E architecture design.
Analyze and benchmark new E/E architecture concepts and design of vehicles as part of customer projects and advanced development.
Create, shape and design system architectures model-based from features and requirements through functional architectures to top-level hardware- and software concepts.
Look over the edge by working on holistic items as in-vehicle and off-board / cloud possibilities for next generation automotive solutions.
The structured approach in evaluating and optimizing design proposals (costs, performance, bus load, safety, security and more)
Prepare, visualize and present results internally and to customers

JOB REQUIREMENT

Education: Bachelor’s degree or higher in Electrical Engineering or related Engineering degree
5+ years of experience in the Automotive Industry
Knowledge of different Automotive Domain features and functions
Fundamental understanding of circuit design, mechanical systems, sensors and actuators as well as ECU communication
Knowledge about Software Development Life Cycle (V-Model)
Practical Knowledge of AUTOSAR (Classic AUTOSAR, Adaptive AUTOSAR)
Knowledge about Functional Safety (ISO26262), FMEA.
Practical Knowledge of Model-Based System Engineering, experienced in using UML modelling tools (Rhapsody, PREEvision)
Knowledge on In-Vehicle Networks(CAN, CAN-FD, LIN, Ethernet), Service-Oriented Architecture, Network Management, OTA…
Experience in system verification and validation (CANoe, CANalyzer, CAPL…), system simulation (Matlab…)
Sophisticated analytical and conceptional skills
Self-motivated, Creative, Strong commitment, smart working style.
Very good communication and presentation skills, as well as an understanding of and experience in intercultural work

WHAT'S ON OFFER

Working in one of the Best Places to Work in Vietnam and Top 30 of the Most Innovative Companies all over the world
Join a dynamic and fast-growing global company (English-speaking environment)
13th-month salary bonus + attractive performance bonus (you'll love it!) + annual performance appraisal
100% monthly salary and mandatory social insurance in 2-month probation
Onsite opportunities: short-term and long-term assignments
15++ days of annual leave + 1 day of birthday leave
Premium health insurance for employee and 02 family members
Flexible working time
Lunch and parking allowance
Various training on hot-trend technologies/ foreign language (English/Chinese/Japanese) and soft-skills
Fitness & sports activities: football, badminton, yoga, Aerobic
Free in-house entertainment facilities and snack
Join in various team building, company trips, year-end party, tech talks and a lot of charity events

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Outsource

Technical Skills:

Hardware

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J01235

Status:

Close

Related Job:

Senior Signal Processing Engineer

Others - Viet Nam

Outsource

  • Python

Design and improve rPPG/TOI pipelines using RGB/IR video with motion/illumination compensation. Implement multi-stage preprocessing, denoising, and quality scoring. Examples: adaptive filtering, ICA/PCA variants, color-space transforms, skin ROI stabilization, signal confidence metrics. o Build cross-device normalization strategies and error-bounded estimators. Define biomarker-level acceptance criteria and failure modes for consumer-grade capture. Partner with iOS and ML teams to integrate algorithms into on-device or hybrid pipelines. Produce technical documentation suitable for regulatory-risk positioning and Apple review support. Benchmark report across device models, skin tones, lighting, and motion conditions. Biomarker feature specification sheet with recommended thresholds and confidence bands. A/B results showing improvements in stability, missingness, and downstream inference performance.

Negotiation

View details

Senior Mobile App Development Engineer

Others - Viet Nam

Outsource

  • iOS

Develop and enhance capture flows using TrueDepth, ARKit, AVFoundation, and CoreMotion. Convert algorithm requirements into reliable on-device data collection and frame synchronization. Create user-friendly quality control interface and capture-state instrumentation, including tasks such as lighting checks, face alignment, motion thresholds, occlusion detection, and retake prompts. Improve latency, thermal behavior, and battery usage for 10-second diagnostic-style capture. Ensure data privacy and compliance with privacy regulations in telemetry. Create technical documentation for the use of specific APIs and data handling for Apple's internal use. Build a modular capture SDK layer with feature flags and logging capabilities. Develop a cross-device performance matrix and tuning guide. Integrate deterministic quality control gates to minimize noisy biomarker outputs in the capture process.

Negotiation

View details

Senior Software Engineer, Machine Learning

Ho Chi Minh - Viet Nam

Product

  • Machine Learning

Building and maintaining high-scale ML pipelines using big data technologies (Spark, BigQuery, Delta Lake), writing reliable, testable, and maintainable production-ready code. Leveraging modern ML platforms like Vertex AI or Databricks to orchestrate workflows and optimizing models for both batch/offline training and real-time/streaming inference with a focus on low latency. Gaining a deep understanding of specific domain challenges (e.g., fraud detection, location spoofing) to engineer better features and network-level intelligence that go beyond algorithms. Championing best practices in software engineering, including CI/CD, automated testing, code reviews, and documentation to ensure ML systems are built to software engineering standards, not just research scripts. Acting as a technical lead for projects, defining milestones and ensuring on-time delivery, mentoring Data Scientists on engineering best practices, and collaborating with other engineers to integrate models into the wider platform.

Negotiation

View details