NVIDIA

3 days ago

Senior Applications Software Engineer, Planning and Control

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Develop application software architecture for autonomous driving planning and control, partnering with internal teams and external collaborators to integrate and tune NVIDIA solutions in target vehicles. Lead bring-up and technical support, using in-vehicle and simulation test drives to analyze recorded data and improve performance. Profile bottlenecks, optimize hardware/software integration, and collaborate with global engineering teams in the US, APAC, and Europe to deploy customer solutions.

Location: Seoul

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Shape application architecture for planning and control by collaborating with architecture and software development teams.
•Integrate and adapt NVIDIA solutions in target vehicles by tuning planner and controller to vehicle dynamics performance metrics.
•Lead bring-up activities and provide technical support to resolve functional and planning & control issues.
•Run in-vehicle and simulation test drives to analyze functional and performance results from recorded data.
•Collaborate with partners and global engineering teams to integrate hardware/software components, identify bottlenecks, and optimize performance for customer deployments.

Key Requirements

•5+ years of software development experience related to deep learning and/or autonomous driving technologies.
•Strong foundation in control theory, motion planning, and optimization with real-time algorithms for safety-critical systems.
•Solid understanding of vehicle dynamics, state estimation, and trajectory generation, including moving algorithms from simulation to real-time hardware.
•BS/MS in computer science, robotics, electrical engineering, or related technical field (or equivalent experience).
•Excellent C/C++ development skills with good knowledge of Python.

Experience:5+ yearsAutonomous drivingDeep learningSoftware development

Education:Master's in Computer Science, Robotics, Electrical Engineering, or related technical field

Skills:Analytical skillsAttention to detailInnovative problem-solvingAdaptability

Tech Stack:CC++PythonCUDADeep learningAutonomous drivingNVIDIA DRIVE platformQNXRTOSSimulationIn-vehicle testing

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

3 days ago

Senior Applications Software Engineer, Planning and Control

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Seoul

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Shape application architecture for planning and control by collaborating with architecture and software development teams.
•Integrate and adapt NVIDIA solutions in target vehicles by tuning planner and controller to vehicle dynamics performance metrics.
•Lead bring-up activities and provide technical support to resolve functional and planning & control issues.
•Run in-vehicle and simulation test drives to analyze functional and performance results from recorded data.
•Collaborate with partners and global engineering teams to integrate hardware/software components, identify bottlenecks, and optimize performance for customer deployments.

Key Requirements

•5+ years of software development experience related to deep learning and/or autonomous driving technologies.
•Strong foundation in control theory, motion planning, and optimization with real-time algorithms for safety-critical systems.
•Solid understanding of vehicle dynamics, state estimation, and trajectory generation, including moving algorithms from simulation to real-time hardware.
•BS/MS in computer science, robotics, electrical engineering, or related technical field (or equivalent experience).
•Excellent C/C++ development skills with good knowledge of Python.

Experience:5+ yearsAutonomous drivingDeep learningSoftware development

Education:Master's in Computer Science, Robotics, Electrical Engineering, or related technical field

Skills:Analytical skillsAttention to detailInnovative problem-solvingAdaptability

Tech Stack:CC++PythonCUDADeep learningAutonomous drivingNVIDIA DRIVE platformQNXRTOSSimulationIn-vehicle testing

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor