C++ Simulation Engineer, GPU Modeling Job at AMD (Markham)

C-Simulation Engineer, GPU Modeling

AMD is looking for a C-Simulation Engineer passionate about driving the cutting-...

Location

United States , Orlando, Florida

Salary:

98400.00 - 147600.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

Proven hands-on object oriented programming experience in C/C++
Experience or familiarity with advanced text editors and IDEs
Good understanding of computer organization/architecture
Undergrad degree required
Bachelors or Masters degree in Computer Science or Computer Engineering preferred

Job Responsibility

Drive the development of C/C++ simulation models for silicon architecture and algorithm evaluation, performance analysis and hardware verification
Partner with cross-functional teams such as HW/SW Co-design, RTL design, verification, emulation, post silicon validation, firmware and software development, in the use and support of building ASIC architecture and simulation models to ensure first pass silicon success and rapid deployment
Develop and debug complex code, on a large-scale codebase and version control systems

Fulltime

Software System Design Engineer

Bring AMD’s leading-edge SoCs to life in a virtual environment! As an early cons...

Location

United Kingdom , Cambridge

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

University degree in Engineering or higher or equivalent experience is preferred
Proven experience in designing and implementing maintainable, performant, professional C++11/14/17 code
Familiarity with x86, ARM, or GPU architecture, including drivers and applications
Proficiency in Linux and Windows kernel debugging
Prior involvement in functional modelling, architecture simulation, or hypervisor development
Familiarity with modelling technologies such as QEMU, VirtualBox, SystemC, Gem5, SIMICS, dynamic binary translation, or JIT
Experience of cross-platform development for Linux and Windows environments

Job Responsibility

Develop high-performance FFMs (Fast-Functional models) for AMD SoCs and platforms using C++
Collaborate closely with internal and external customers to understand and assist in running their workloads on the models
Create test plans and validate model functionality using Python
Improve functionality, stability, and performance of existing models
Develop innovative modelling features to streamline workload debugging
Close collaboration with architecture teams to foster in-depth understanding of new designs

AI Simulation Engineer

As an AI Simulation Engineer, you will fuse simulation and AI to accelerate trai...

Location

United States , Mendon

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Experience in AI, robotics, simulation engineering, or machine learning model development
Strong understanding of simulation environments, synthetic data workflows, scenario generation, or virtual testing systems
Experience integrating AI models into simulation frameworks for training, validation, or performance testing
Proficiency in Python, C++, or similar languages used for simulation tools and AI development
Experience working with robotics concepts such as perception, planning, control, or vehicle dynamics
Ability to analyze real world data and convert it into simulated scenarios that expose edge cases and system weaknesses
Experience with cloud simulation infrastructure, distributed compute, or GPU accelerated workloads
Strong problem solving and analytical abilities, with the skill to bridge real world system behavior and simulated environments
Ability to collaborate effectively with cross functional engineering teams and communicate technical concepts clearly

Job Responsibility

Fuse simulation and AI to accelerate training, validation, and edge case discovery for safe autonomous deployment
Build closed loop systems where on-field data improves simulation, and simulation sharpens real world performance
Develop simulation driven workflows that generate diverse scenarios, edge cases, and long tail events to improve AI robustness
Integrate perception, planning, control, and vehicle dynamics models into high fidelity simulation environments
Create automated validation pipelines that use simulation to stress test autonomy performance across environments, weather, terrain, and failure modes
Use generative models or data augmentation techniques to expand scenario coverage and reduce reliance on costly on-field testing
Enhance simulation fidelity by incorporating real world telemetry, sensor data, logs, and environmental conditions
Develop tools that measure model performance, regression trends, safety margins, and reliability metrics within simulated environments
Collaborate with autonomy, robotics, data, and test teams to ensure simulation tools and AI workflows reflect real world behavior and operational constraints
Optimize simulation infrastructure for speed, scalability, and throughput across local, cloud, and distributed compute

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

AI Simulation Engineer IV

As an AI Simulation Engineer, you will fuse simulation and AI to accelerate trai...

Location

United States , Lehi

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Experience in AI, robotics, simulation engineering, or machine learning model development
Strong understanding of simulation environments, synthetic data workflows, scenario generation, or virtual testing systems
Experience integrating AI models into simulation frameworks for training, validation, or performance testing
Proficiency in Python, C++, or similar languages used for simulation tools and AI development
Experience working with robotics concepts such as perception, planning, control, or vehicle dynamics
Ability to analyze real world data and convert it into simulated scenarios that expose edge cases and system weaknesses
Experience with cloud simulation infrastructure, distributed compute, or GPU accelerated workloads
Strong problem solving and analytical abilities, with the skill to bridge real world system behavior and simulated environments
Ability to collaborate effectively with cross functional engineering teams and communicate technical concepts clearly

Job Responsibility

Fuse simulation and AI to accelerate training, validation, and edge case discovery for safe autonomous deployment
Build closed loop systems where on-field data improves simulation, and simulation sharpens real world performance
Develop simulation driven workflows that generate diverse scenarios, edge cases, and long tail events to improve AI robustness
Integrate perception, planning, control, and vehicle dynamics models into high fidelity simulation environments
Create automated validation pipelines that use simulation to stress test autonomy performance across environments, weather, terrain, and failure modes
Use generative models or data augmentation techniques to expand scenario coverage and reduce reliance on costly on-field testing
Enhance simulation fidelity by incorporating real world telemetry, sensor data, logs, and environmental conditions
Develop tools that measure model performance, regression trends, safety margins, and reliability metrics within simulated environments
Collaborate with autonomy, robotics, data, and test teams to ensure simulation tools and AI workflows reflect real world behavior and operational constraints
Optimize simulation infrastructure for speed, scalability, and throughput across local, cloud, and distributed compute

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

Senior Software Engineer

SEG, an Astrion company, is seeking a Senior Software Engineer to add to our exc...

Location

United States , Columbia

Salary:

150000.00 - 190000.00 USD / Year

Astrion

Expiration Date

Until further notice

Requirements

Must have or be able to obtain a DoD security clearance at the required level
Must be able to maintain the required clearance
Eligibility for cleared access in this instance requires US citizenship
Minimum Education: Bachelor of Science Degree in Computer Science, Computer Engineering or similar Engineering discipline
10+ years of experience
Demonstrated ability to assume leadership roles on project tasks
Demonstrated ability to mentor junior level engineers
Experience in modeling and simulations architecture and development
Experience with all phases of software QA including unit, acceptance, regression and cross-platform testing
Experience with C++ using the C11 standard

Job Responsibility

Assist in the design, development, test, and verification of SEG’s missile trajectory and RF signature prediction simulations
The position covers the whole of the software development process, from design and implementation to testing, documentation and delivery
Lead team(s) on individual projects and provide assistance to junior level engineers
Provide C++ software development and maintenance with software integration testing
Participate in Agile style development ceremonies such as Daily Standups, Sprint Planning and Sprint Reviews
Quickly adapt to new technologies and skill as required

What we offer

Competitive salaries
Continuing education assistance
Professional development
Multiple healthcare benefits package options
401K with employer matching
Competitive time off policy along with a federally recognized holiday schedule

Fulltime

Senior Software Engineer, Computational Geometry

We are seeking a Senior Software Engineer, Computational Geometry who will be a ...

Location

United States , Chatsworth

Salary:

140000.00 - 200000.00 USD / Year

Machina Labs

Expiration Date

Until further notice

Requirements

MS or PhD. in Data Science, Computer Science, Machine Learning, Statistics, or a related field
5+ years of experience in computational geometry, path planning, or related fields
Strong background in linear algebra, trigonometry, differential equations, and algorithm design
Proficiency in both Python and C++, with hands-on use of libraries such as Numpy (Python) or Eigen (C++)
Proven ability to manipulate meshes, vectors, and transforms in 2D and 3D
Experience with CAD file formats (STEP, IGES) and graphics-adjacent work (GPU acceleration, ray tracing, geometry kernels)
A track record of solving complex problems in fast-paced, iterative environments—independently and within teams
Excellent communication skills
able to explain technical concepts clearly to both engineers and non-engineers

Job Responsibility

Shape our geometry pipeline by leading the development of robust geometry ingestion and processing systems to transform complex CAD files into robot-ready parts
Innovate our path planning through the design and implementation of algorithms that expand the operational envelope of our robotic forming cells
Prototype and validate by rapidly testing new approaches while building high-quality, production-ready code for proven solutions
Bridge disciplines partnering with robotics and manufacturing engineers to troubleshoot, optimize, and validate geometry and path strategies on physical hardware
Model and simulate by building kinematic models, optimizers, and analysis tools to validate paths before they hit the robot floor
Uphold excellence through ensuring code quality with testing, documentation, and reviews aligned to Machina’s engineering standards

What we offer

Medical, Dental, Vision
PTO
Stock Options

Fulltime

Performance Architect

In this position, you will develop AI Storage Solutions based advanced system ar...

Location

United States , Milpitas

Salary:

136537.00 - 193442.00 USD / Year

Sandisk

Expiration Date

April 28, 2026

Requirements

Bachelors or Masters or PhD in Computer/Electrical Engineering with 5+ years of relevant experience in Performance Modeling, Simulation, and Analysis using SystemC
At least 5+ years of experience with SystemC modeling
Good understanding of computer/graphics architecture, ML, LLM
Experience of simulation using System C and TLM, behavioral modeling and performance analysis

Job Responsibility

Build SystemC performance models for AI Storage Solutions based products covering end-to-end from GPU/TPU/NPU/xPU, host interface, memory hierarchy, basedie controller, and AI Storage Solutions using various packaging technolgies
Responsible for improving the AI/ML ASIC Architecture performance through hardware & software co-optimization, post-silicon performance analysis, and influencing the strategic product roadmap
Workload analysis and characterization of ASIC and competitive datacenter and AI solutions to identify opportunities for performance improvement in our products
Collaboration with Architecture team to resolve performance issues and optimize the performance and TCO of their AI Storage Solutions based datacenter technologies
Experience modeling one or some components of AI/ML accelerator ASICs such as AI Storage Solutions, PCIe/UCIe/CXL, NoC, DMA, Firmware Interactions, NAND, xPU, fabrics, etc
Performance modeling and optimization for multi-trillion parameter LLM training/inference including Dense, Mixture of Experts (MoE) with multiple modalities (text, vision, speech)
Model/optimize novel parallelization strategies across tensor, pipeline, context, expert and data parallel dimensions
Architect memory-efficient training systems utilizing techniques like structured pruning, quantization (MX formats), continuous batching/chunked prefill, speculative decoding
Incorporate and extend SOTA models such as GPT-4, Reasoning models like Deepseek-R1, and multi-modal architectures
Collaborate with internal and external stakeholders/ML researchers to disseminate results and iterate at rapid pace

What we offer

Short-Term Incentive (STI) Plan
Long-Term Incentive (LTI) program (restricted stock units (RSUs) or cash equivalents)
RSU awards for eligible new hires
Paid vacation time
Paid sick leave
Medical/dental/vision insurance
Life, accident and disability insurance
Tax-advantaged flexible spending and health savings accounts
Employee assistance program
Other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity

Fulltime

Computer Vision Engineer

We are seeking a Computer Vision Architect to lead the design and implementation...

Location

United States , Los Angeles

Salary:

140000.00 - 220000.00 USD / Year

Snail Games

Expiration Date

Until further notice

Requirements

5+ years of professional experience in computer vision, real-time perception, or related fields
Advanced degree (Master’s or PhD) in AI, Computer Vision, Robotics, or related field preferred
Proven experience building and deploying real-time video perception systems in production environments
Strong C++ proficiency and experience integrating systems into game engines or comparable real-time platforms
Deep understanding of object detection, tracking, temporal modeling, and 3D scene understanding
Experience optimizing models for deployment using CUDA, TensorRT, ONNX, or similar toolchains
Unreal Engine Experience: Proficiency with Unreal Engine, preferably UE4 or UE5

Job Responsibility

Architect and implement real-time computer vision pipelines for analyzing gameplay video and camera feeds
Design systems that convert 2D visual input into structured 3D semantic world models usable by AI agents and NPC systems
Integrate perception modules into Unreal Engine–based runtimes and toolchains
Optimize inference performance for GPU-constrained, real-time environments
Define data collection, evaluation, and iteration strategies for improving perception robustness
Collaborate with AI engineers to design perception interfaces that feed behavior trees, agent systems, and decision models
Establish long-term technical direction for vision-driven gameplay and simulation features

What we offer

True focus on work/life balance
Paid company holidays, vacation, and separate sick leave
Medical, dental, vision, and Life/LTD
401k with company match

Fulltime

C++ Simulation Engineer, GPU Modeling

AMD

Location:
Canada , Markham

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 17, 2025

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Location:Canada , Markham

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Job Description:

Job Responsibility:

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Job Posted:December 17, 2025

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December 17, 2025