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Senior Software Engineer

  • Office
  • 6+ years

Salary

$185,000 - 250,000/ year

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Description

The company, Inc. is powering the future of physical AI. The company services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co .

We are an in-office company, and our expectation is that full-time employees primarily work from their the company office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions

About the role and team

We are looking for senior software engineers to build the backbone of Neural Simulation, our state-of-the-art product for turning real-world driving data into high-fidelity simulation environments. As part of this team, you will design and develop the systems that power large-scale reconstruction, synthetic data generation, and log augmentation, along with the ML pipelines used to train and validate autonomy systems. You will work on highly distributed systems that transform real-world data into simulation environments and generate high-quality labeled data at scale, where careful system design across compute, storage, and data pipelines is essential.

This role is ideal for engineers who thrive at the intersection of large-scale distributed systems and machine learning, and who are excited to scale a state-of-the-art product while building new capabilities that solve the hardest data and platform gaps in Physical AI.

At the company, you will:

Design and build scalable closed loop simulation systems using Neural Reconstruction

Architect systems that process and manage large-scale data

Develop infrastructure for ML workflows, including:

Training pipelines

Evaluation and validation systems

Model inference pipelines

Design and optimize storage solutions for structured, unstructured, and multimodal data (e.g., sensor, 3D, logs)

Improve system reliability, observability, and performance across distributed services

Collaborate closely with Infra, Autonomy, Research and other product teams to deliver end-to-end solutions

Take ownership of critical systems and influence architecture and product decisions

We're looking for someone who has:

5+ years of experience shipping complex, large-scale software

A minimum of a Bachelor's degree in computer science, computer engineering, or equivalent practical experience

A proven track record of designing, building, and operating scalable distributed systems, data pipelines, and data storage solutions (such as SQL, NoSQL, vector databases, or data lakes)

Experience with cloud platforms (AWS, GCP, or Azure) and containerized systems (Docker, Kubernetes)

Experience with backend development in languages such as Python and Go

Strong system design and problem-solving skills

Requirements

  • Experience building or supporting ML training and serving infrastructure
  • Experience with GPU workloads and large-scale batch orchestration (e.g., Kubernetes jobs, Ray, Airflow)
  • Experience with synthetic data generation or data augmentation for ML
  • Familiarity with computer vision, 3D reconstruction (e.g., Gaussian Splatting), or sensor simulation (camera, LiDAR, radar)
  • Experience with autonomous driving or robotics systems
  • Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
  • FOR US-BASED ROLES: the company is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact careers@applied.co . We will work with you!

Where you’d work

From the office, 4 or more days a week in the office

About the company

Company hidden

Office in Sunnyvale, United States

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 19 checks run
  • 9 good signs
  • 0 red flags

Still hiring?

12 checks

Actively hiring

In its favour5

  • Still on the company's own careers site, checked 2 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence
  • The company opened 16 roles and closed 9 in the last 2 weeks: hiring is movingModerate evidence
2 moreFewer
  • Specific about the basics: pay, place, level, stack and contract all statedSlight evidence
  • States its salarySlight evidence

How crowded?

7 checks

Low

In its favour4

  • In its Early Window: not on the big job boards yetStrong evidence
  • In the office in Sunnyvale: only people nearby can take itSlight evidence
  • In the office 4 or more days a week: most applicants want lessSlight evidence
1 moreFewer
  • Senior level: far fewer people qualifySlight evidence

Fits Me

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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • Go
  • SQL
  • AWS
  • Kubernetes
  • Docker
  • Azure
  • Vector databases
Seniority
Senior
Type
Full-time
Specialty
Backend
Region
United States
Pay period
Annual
Show 6 more factsShow less

Role

Category
Development
Specialty
Backend
Seniority
Senior
Experience
5+ years
Tech stack
  • Python
  • Go
  • SQL
  • AWS
  • Kubernetes
  • Docker
  • Azure
  • Vector databases

Location

Work model
Office
Region
United States
Office
  • Sunnyvale, United States
Days in the office
4 or more days

Compensation

Salary
$185,000 - 250,000 / year
Pay period
Annual

Employment

Type
Full-time

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