Software Engineer, AI Training and Infrastructure

Full Timejunior

San Mateo, CAPosted 4 weeks ago

Role Overview

Skildai Careers is hiring a entry-level Software Engineer, AI Training and Infrastructure. This is a full-time role in San Mateo. Part of Skildai Careers's Lifecycle hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Junior-level Lifecycle roles is $82k-$108k (based on 27 comparable listings). Many employers share specifics during the interview process or after an initial screen.

Resume Keywords to Include

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PythonAWSAzureTensorFlowPyTorchPipelineOROverview

Job description

Company Overview

At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.

Position Overview

We are looking for a Software Engineer to work at the forefront of developing and optimizing the software infrastructure and tools necessary for training cutting-edge AI models. You will focus on building robust, scalable, and efficient training pipelines and frameworks that support the entire machine learning lifecycle, from data preparation to model deployment. You will collaborate with researchers and machine learning engineers to ensure seamless integration and operation of training systems, pushing the boundaries of what AI can achieve in real-world robotics applications. You will explore new ways to efficiently make use of many types of data in our training pipeline.

Responsibilities

Develop and maintain robust, scalable, and distributed training pipelines (data preprocessing, training orchestration, and model evaluation) and frameworks for large-scale AI models.
Optimize training processes for performance and resource utilization, ensuring scalability and reliability.
Collaborate with researchers and machine learning engineers to integrate state-of-the-art algorithms and techniques into training pipelines.
Monitor and analyze training, identifying bottlenecks and proposing solutions to improve efficiency and performance.
Ensure the robustness and reliability of the training infrastructure, including automated testing and continuous integration.

Preferred Qualifications

BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
Minimum of 3 years of industry experience.
Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
Strong background in distributed computing, parallel processing techniques, handling large-scale datasets and data preprocessing.
Deep understanding of state-of-the-art machine learning techniques and models.
Experience with cloud-based training environments (AWS, Google Cloud, Azure).
Experience in developing and maintaining software tooling and infrastructure for machine learning.
Deep understanding and practical experience with software engineering principles, including algorithms, data structures, and system design.
Experience with continuous integration and automated testing frameworks.

Base Salary Range

$100,000—$300,000 USD

About Skildai Careers

Skildai Careers

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Frequently Asked Questions

How do I apply for the Software Engineer, AI Training and Infrastructure position at Skildai Careers?

Use the Apply button above to submit your application directly to Skildai Careers. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Software Engineer, AI Training and Infrastructure position at Skildai Careers located?

This position is based in San Mateo. Skildai Careers has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Software Engineer, AI Training and Infrastructure at Skildai Careers earn?

Skildai Careers has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Software Engineer, AI Training and Infrastructure role at Skildai Careers posted?

This role was posted on June 10, 2026 (30 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

Is the Software Engineer, AI Training and Infrastructure role at Skildai Careers entry-level?

Yes. This is an entry-level position. Strong candidates typically have 0-2 years of relevant work experience, internships, or significant project work. Read the full description for any specific qualification requirements Skildai Careers has listed.