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Systems Development Engineer II, ADC Security Services (A2SE)
Amazon
Arlington, VA
Troubleshoot, diagnose, and resolve production software issues across multiple languages (Python, Java, TypeScript, Bash, Ruby) on Linux-based systems
Added 10 days ago
Senior Platform Engineer - NBA
Humana
Richmond, VA
The Senior Platform Engineer keeps the entire NBA platform healthy, reliable, and maintainable for the long term. You develop a working understanding of every layer of the technology stack…
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Senior Decision Intelligence Engineer
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The Senior Machine Learning Engineer, Decision Intelligence is a hands-on individual contributor responsible for building, deploying, and operating ML and decisioning pipelines for the NBA…
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Software Engineer 1
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Richmond, VA
- $83,100 USD / year
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Added 10 days ago
DevSecOps Engineer
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Arlington, VA
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EG
Senior Data Engineer
Eliassen Group
Richmond, VA
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 10 days ago
Quality Assurance Engineer
Booz Allen Hamilton_United States
Washington, DC
A Digital Twin is only as valuable as the trust users place in it. As a Quality Assurance Engineer, you'll help ensure that the applications, services, data pipelines, and simulations…
Added 10 days ago
Software Engineer II - Offboard Python Application
Latitude AI
Remote, United States
…framework. In terms of implementation, this involves a lot of Python coding, interacting with open source packages and various AWS/GCP services. In terms of analysis, we’re constantly…
Added 10 days ago
Senior Engineer
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Sr. Process Automation Engineer
Columbia Bank
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Why this role Matters: The Sr. Process Automation Engineer will be responsible for all aspects of the development life cycle including architecture, requirements gathering, development,…
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Senior Platform Engineer - NBA
Humana
Raleigh, NC
The Senior Platform Engineer keeps the entire NBA platform healthy, reliable, and maintainable for the long term. You develop a working understanding of every layer of the technology stack…
Added 10 days ago
Senior Decision Intelligence Engineer
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The Senior Machine Learning Engineer, Decision Intelligence is a hands-on individual contributor responsible for building, deploying, and operating ML and decisioning pipelines for the NBA…
Added 10 days ago
PN
Software Engineer 1
Pacific Northwest National Laboratory
Raleigh, NC
- $83,100 USD / year
This Software Engineer 1 role will support the development of the EMSL Science Central technology platform with a focus on backend services, data infrastructure, and platform reliability.…
Added 10 days ago
Network Engineer (Remote Opportunity)
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Gen AI Senior Engineer
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…DATA's Client is currently seeking an AWS Data & AI Platform Engineer to join our team in Charlotte, North Carolina (US-NC), United States…
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Senior Data Engineer
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Raleigh, NC
- $101,000 to $161,800 USD / year
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Associate Principal Engineer - Integration Solutions Architect (Hands-on)
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SR ENGINEER, HIG HBM SOC VERIFICATION
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AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true…
Added 10 days ago
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Product Quality Engineer
Micron Technology, Inc.
Longmont-MAX- Office, CO
- $125,000 to $213,000 USD / year
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Added 10 days ago
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Product Quality Engineer
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Added 10 days ago
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Principal SSD Systems Design Engineer
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- $146,000 to $297,000 USD / year
As a Principal SSD Systems Design Engineer within Micron’s Solid State Drive (SSD) Product Development Team (PDT), you will serve as a technical leader and strategic influencer across…
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Cybersecurity IAM Engineer
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Principal Engineer, SSD Systems Design
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The Principal Engineer leads SSD system design and architecture from concept through high-volume manufacturing. This role drives system definition, characterization strategies, and…
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Latitude AI

Software Engineer II - Offboard Python Application

Remote, United States

The expected base salary range for this full-time position in California is $150,320 - $225,480 USD.

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Job details

Pay: The expected base salary range for this full-time position in California is $150,320 - $225,480 USD.
Posting language: English
Posted: Oct 30, 2026

Original job description

Latitude AI (lat.ai) is building the future of Ford’s autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. Bringing this vision to scale, our fully in-house developed hands-free ADAS platform will debut on the all-new Ford Fathom in 2027.

When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to redefining the relationship between people and their vehicles for millions of customers.

As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.

Meet the team:

The Virtual Test Ecosystem (VTE) team ensures that our simulation (fully synthetic) and resimulation (replay engine using vehicle logs) workflows run efficiently and reliably at large scale. We use a mix of open source and cloud provider services to implement a processing framework that’s cloud-agnostic as well as capable of running on-prem. The results of these simulations is business-critical for us - they’re used in order to allow autonomy developers and testers to do large-scale safety and performance testing of changes prior to in-vehicle testing. We interact with engineers throughout the onboard and offboard stack in order to ensure smooth end-to-end capabilities.

What you’ll do:

We run vehicle simulations at unprecedented scales in order to ensure we’re releasing a safe product. You’ll support this via improvements to our sim/resim cloud framework and applications that run on this framework. In terms of implementation, this involves a lot of Python coding, interacting with open source packages and various AWS/GCP services. In terms of analysis, we’re constantly looking for bottlenecks that limit scalability or otherwise hinder performance. You’ll put together benchmarking to identify these spots and associated dashboards to track and summarize the information. Then armed with that information, you’ll implement solutions to increase efficiency.
It’s not enough to have a framework that is functional - it needs to be intuitive and easy to use. We take our best guesses at this, but things evolve over time based on user interaction - both direct feedback as well as realizing how users are accidentally misusing or misinterpreting the results. VTE supports autonomy, systems, test, and a variety of other teams across the organization. Having an eye for how the system is being used, what users need, and a willingness to engage with these users on future improvements is critical.
We also can’t build it all, so we want to make the framework well-documented and as self-serve as possible for others to extend it (while being there to answer questions). For example, when there’s a new portion of the autonomy stack, we want that autonomy team to be able to update resim to add it in themselves so that they can iterate quickly.
In order to run logs through resim, we need to first know what logs are interesting. You’ll contribute to the ecosystem of how we manage storing and searching for these logs efficiently, including how we automate indexing the interesting actors and interactions in a scene and how we determine our dataset coverage.
Once we’ve run resim, we want to do something with the updated logs. Frequently this involves metrics to analyze the AV’s performance; these metrics could range from low-level performance of a particular detector in the stack to if the AV is meeting high-level business objectives. You’ll both work on the sim/resim cloud framework implementation to make this easy for all developers to add in their metrics and support the metrics implementation themselves as needs arise.

What you'll need to succeed:

Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
Expertise in writing Python code that’s efficient, well-documented, and well-tested
2+ years’ experience writing scalable applications that execute in a cloud or HPC environment
2+ years’ experience writing software that interacts with AWS and/or GCP services
Familiarity with NumPy and scientific programming
Willingness and desire to learn how onboard and offboard components interact with each other and propose solutions to improve how developers and testers work with both systems

Nice to have (optional):

C++ development experience
Experience with Kubernetes

What we offer you:

Competitive compensation packages
High-quality individual and family medical, dental, and vision insurance
Health savings account with available employer match
Employer-matched 401(k) retirement plan with immediate vesting
Employer-paid group term life insurance and the option to elect voluntary life insurance
Paid parental leave and Adoption/Surrogacy support program
Paid medical leave
Unlimited vacation and 15 paid holidays
Daily lunches, snacks, and beverages available in all office locations
Pre-tax spending accounts for healthcare and dependent care expenses
Pre-tax commuter benefits
Monthly wellness stipend
Backup child and elder care program
Professional development reimbursement
Employee assistance program
Discounted programs that include legal services, identity theft protection, pet insurance, and more
Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Learn more about Latitude’s team, mission and career opportunities at lat.ai!

The expected base salary range for this full-time position in California is $150,320 - $225,480 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.

Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

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More about this job

Skills

Python
Robotics
Safety engineering
AWS
Google Cloud
Computer engineering
Computer science
Electrical engineering
NumPy
C++
Kubernetes

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