# Software Engineer, Simulation & Reinforcement Learning at Bot Auto

> United States · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Abotauto%3A5478642008 (read 2026-11-11).

## Facts (observed)

- Company: [Bot Auto](https://alderhq.app/companies/bot-auto)
- Location text: Houston, TX; Houston Office
- Where it can be done from (inferred): United States (evidence: "Location: Houston, TX; Houston Office")
- Posted: 2026-11-10 (1 days ago)
- First seen by alder: 2026-11-11 · last verified: 2026-11-11
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/botauto/jobs/5478642008
- Skills listed (inferred): Python, C++, PyTorch

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Houston, n 24): p25 $100k, median $120k, p75 $161k

## Description (the employer's text)

### About Bot Auto

Bot Auto develops autonomous trucking technology. Our Simulation team builds software used to train and evaluate autonomous driving systems.

We are looking for a software engineer with C++ and CUDA experience to develop GPU-accelerated simulation software and improve reinforcement learning training efficiency. You will work with data, planning, and machine learning engineers on simulation and training infrastructure for autonomous trucking.

### What You'll Do

- Build GPU-accelerated simulation software for autonomous driving and reinforcement learning.
- Improve the throughput of parallel simulation workloads and their integration with training workflows.
- Profile simulation and training workloads, and optimize CPU and GPU execution, memory usage, and data transfer.
- Develop tests and benchmarks to measure correctness, performance, and reproducibility.
- Collaborate with data, planning, and machine learning engineers on implementation, design discussions, and code reviews.
### Required Qualifications

- Bachelor's or Master's degree in Computer Science, Computer Engineering, Robotics, Electrical Engineering, or a related field, or equivalent practical experience.
- Strong programming skills in C++, including data structures, algorithms, and object-oriented programming.
- Experience with CUDA and GPU programming, including an understanding of GPU parallel execution and memory management.
- Understanding of parallel and concurrent programming concepts, including multithreading and synchronization.
- Familiarity with Python for scripting, testing, or machine learning workflows.
- Understanding of reinforcement learning concepts, including environments, agents, actions, rewards, and training workflows.
- Experience developing and debugging software in Linux.
- Strong problem-solving skills and ability to work collaboratively across teams.
### Preferred Qualifications

- Experience profiling or optimizing C++ applications, GPU workloads, or machine learning pipelines.
- Familiarity with PyTorch or another machine learning framework.
- Experience with simulation, robotics, game engines, physics, computational geometry, or high-performance computing.
- Experience optimizing GPU kernels or multi-GPU workloads.
- Exposure to batched environments, multi-agent systems, or distributed training.
- Experience with testing tools, Git, and collaborative software development.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Abotauto%3A5478642008 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.