Senior Software Engineer - Robotic Simulation at Aim in Greater Seattle Area | Kablio

Role

Description

simulation system

hil testing

vehicle dynamics

terrain modeling

software development

team collaboration

Building out a reliable, hosted simulation system with the optionality to allow super fast or highly accurate testing of AIM’s autonomous systems
As a Senior Robotic Simulation Engineer at AIM you will be expanding the boundaries of what’s possible in advanced, earth-moving robotics by designing and building simulation software for cutting edge autonomy and enabling AI and Robotics engineers to iterate quickly by providing fast, realistic simulation in dynamic and modifiable terrain.
Supporting Hardware-in-the-loop (HIL) testing for firmware through the use of hardware integration interfaces
Working with AI, firmware, and systems engineers to spec and build AIM’s next generation simulation software
Simulating vehicle dynamics and behavior in modifiable terrain
Collaborating with cross-functional teams, including software, hardware, and systems engineers

Requirements

c++

cuda

git

python

unreal

b.s. degree

About the Role - Advanced simulation is a critical pillar at AIM, allowing us to move quickly and safely while developing cutting edge control, planning, and safety components. This role requires proven experience with physics and interactive vehicle dynamics, preferably in a high-scale setting.

Experience with 3D model creation
Familiarity with sensor representation and simulation
Knowledge of AI planning, constraint satisfaction, and linear/mixed-integer programming
Distributed systems or services design experience
Familiarity with real-time computation constraints and GPU accelerated physics. (e.g. CUDA, OpenGL)
Highly Proficient in C++ programming
Understanding of numerical computing techniques e.g. finite element method (FEM), Smoothed-particle hydrodynamics (SPH), Discrete element method (DEM)
Animation and rigging skills
B.S. or higher degree in Computer Science, Engineering, Mathematics, Physics, or equivalent experience
Familiarity with soil simulation or analysis
Knowledge working with physics engines (e.g. Genesis, Algoryx, ProjectChrono, MuJoCo)
Proficiency in a modern version control system like git
Experience with a major simulation platform (e.g. Nvidia Omniverse, Unreal, Unity)
Machine learning and/or Robotics experience
Experience using or integrating with a high-level language (e.g. Python or Node)
Understanding and application of simulation to real-world scenarios
Experience with communication protocols for integration and control (e.g. GRPC, TCP/UDP Sockets)

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

Founded in 2021

Year Established

The company was established in 2021, marking the beginning of its innovative approach to autonomous earth-moving technology.

$50 Million Raised

Funding Amount

Secured $50 million to expand operations and scale autonomous earth-moving across mining and construction sectors.

Their plug‑and‑play hardware and software retrofit bulldozers, excavators, loaders and more.
Enables zero‑entry worksites—ground crews manage remotely, safety and uptime soar.
Typical projects span mining operations, infrastructure builds, flood defenses, wildfire prevention.
Uses sensor suites and edge compute to drive real‑time 3D mapping and autonomous control.
Plans to apply platform to planetary‑scale terraforming beyond Earth within the next decade.

Culture + Values

Up to 20% Fuel Savings

Efficiency Improvement

Autonomous operations reduce fuel consumption and improve operational efficiency.

Maximum safety and productivity across mining and critical-infrastructure construction
Rugged, plug-and-play autonomy on existing heavy equipment regardless of make, model, size or age
Zero-entry worksites to eliminate hazard exposure for ground staff
Rigorous 3-step autonomous deployment process from manual to fully autonomous operation
Real-time KPI data delivery for performance visibility, fuel savings, fleet availability and optimal site planning
Empowering employees to upskill into remote management, site planning and data analytics roles
Every AIM-enabled machine is fully insured for autonomous operation
Team comprised of engineers from Waymo, SpaceX, Google, Tesla and Apple, reflecting a high-caliber engineering ethos

Environment + Sustainability

Next Decade

Timeframe for environmental restoration

Aims to restore ecosystems damaged by floods, wildfires, or hazardous waste within the next ten years.

Autonomous operation enables continuous machine use, unlocking fuel savings and higher duty cycles
Platform supports AI-optimized site planning which improves operational efficiency and resource use
Technology used in constructing flood protection sea walls in partnership with US Army Corps of Engineers
Long-term mission includes building planetary-scale infrastructure to reverse climate change impacts

Inclusion & Diversity

Articles

Press Release – $50M funding announcement

Semafor article – AIM raises $50M

Careers

Role

Description

simulation system

hil testing

vehicle dynamics

terrain modeling

software development

team collaboration

Building out a reliable, hosted simulation system with the optionality to allow super fast or highly accurate testing of AIM’s autonomous systems
As a Senior Robotic Simulation Engineer at AIM you will be expanding the boundaries of what’s possible in advanced, earth-moving robotics by designing and building simulation software for cutting edge autonomy and enabling AI and Robotics engineers to iterate quickly by providing fast, realistic simulation in dynamic and modifiable terrain.
Supporting Hardware-in-the-loop (HIL) testing for firmware through the use of hardware integration interfaces
Working with AI, firmware, and systems engineers to spec and build AIM’s next generation simulation software
Simulating vehicle dynamics and behavior in modifiable terrain
Collaborating with cross-functional teams, including software, hardware, and systems engineers

Requirements

c++

cuda

git

python

unreal

b.s. degree

Experience with 3D model creation
Familiarity with sensor representation and simulation
Knowledge of AI planning, constraint satisfaction, and linear/mixed-integer programming
Distributed systems or services design experience
Familiarity with real-time computation constraints and GPU accelerated physics. (e.g. CUDA, OpenGL)
Highly Proficient in C++ programming
Understanding of numerical computing techniques e.g. finite element method (FEM), Smoothed-particle hydrodynamics (SPH), Discrete element method (DEM)
Animation and rigging skills
B.S. or higher degree in Computer Science, Engineering, Mathematics, Physics, or equivalent experience
Familiarity with soil simulation or analysis
Knowledge working with physics engines (e.g. Genesis, Algoryx, ProjectChrono, MuJoCo)
Proficiency in a modern version control system like git
Experience with a major simulation platform (e.g. Nvidia Omniverse, Unreal, Unity)
Machine learning and/or Robotics experience
Experience using or integrating with a high-level language (e.g. Python or Node)
Understanding and application of simulation to real-world scenarios
Experience with communication protocols for integration and control (e.g. GRPC, TCP/UDP Sockets)

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

Founded in 2021

Year Established

The company was established in 2021, marking the beginning of its innovative approach to autonomous earth-moving technology.

$50 Million Raised

Funding Amount

Secured $50 million to expand operations and scale autonomous earth-moving across mining and construction sectors.

Their plug‑and‑play hardware and software retrofit bulldozers, excavators, loaders and more.
Enables zero‑entry worksites—ground crews manage remotely, safety and uptime soar.
Typical projects span mining operations, infrastructure builds, flood defenses, wildfire prevention.
Uses sensor suites and edge compute to drive real‑time 3D mapping and autonomous control.
Plans to apply platform to planetary‑scale terraforming beyond Earth within the next decade.

Culture + Values

Up to 20% Fuel Savings

Efficiency Improvement

Autonomous operations reduce fuel consumption and improve operational efficiency.

Maximum safety and productivity across mining and critical-infrastructure construction
Rugged, plug-and-play autonomy on existing heavy equipment regardless of make, model, size or age
Zero-entry worksites to eliminate hazard exposure for ground staff
Rigorous 3-step autonomous deployment process from manual to fully autonomous operation
Real-time KPI data delivery for performance visibility, fuel savings, fleet availability and optimal site planning
Empowering employees to upskill into remote management, site planning and data analytics roles
Every AIM-enabled machine is fully insured for autonomous operation
Team comprised of engineers from Waymo, SpaceX, Google, Tesla and Apple, reflecting a high-caliber engineering ethos

Environment + Sustainability

Next Decade

Timeframe for environmental restoration

Aims to restore ecosystems damaged by floods, wildfires, or hazardous waste within the next ten years.

Autonomous operation enables continuous machine use, unlocking fuel savings and higher duty cycles
Platform supports AI-optimized site planning which improves operational efficiency and resource use
Technology used in constructing flood protection sea walls in partnership with US Army Corps of Engineers
Long-term mission includes building planetary-scale infrastructure to reverse climate change impacts

Inclusion & Diversity

Articles

Press Release – $50M funding announcement

Semafor article – AIM raises $50M

Careers