Remote jobs in the United States

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Senior Engineer - ML Operations
Danaher Corporation
Remote, United States
- $180,000 to $220,000 USD / year
The Senior MLOps Engineer is responsible for owning significant parts of the machine learning and agentic AI lifecycle that powers Danaher’s next generation of AI-driven products and…
Added 42 mins ago
Solutions Engineer/Architect
Kargo
Remote, United States
Providing industrial and software engineering support for process improvements for Kargo’s computer vision, machine learning, software stack, and compute. Field operations for future /…
Added 1 hour ago
Sr. GIS Solution Engineer - Airports
Esri
Remote, United States
Basic understanding of artificial intelligence/machine learning concepts
Added 1 hour ago
W4
Junior Data Engineer
West 4th Strategy
Remote, United States
- $100,000 to $105,000 USD / year
We need an experienced Data Engineer at the Office of the Under Secretary of Defense for Personnel and Readiness (OUSD(P&R)) Comptroller. This office manages the budget and financial…
Added 2 hours ago
Senior Solutions Engineer
Overstory
Remote, United States
As a Senior Solutions Engineer at Overstory, you'll turn our vegetation intelligence into operational impact for utility customers. Our data products - derived from satellite imagery and…
Added 3 hours ago
Senior Software Engineer
C.H. Robinson Shared Services, Inc.
Remote, United States
C.H Robinson is seeking a Senior Software Engineer on our Book-It-Now/Digital Negotiator Costing team where you will collaborate with our data science teams to costing automation and…
Added 3 hours ago
C
Founding Forward Deployed Engineer
Clera
Remote, United States
- $180,000 to $250,000 USD / year
- A quantitative degree in statistics, mathematics, computer science, or a comparable field, plus a foundation in data science or machine learning.
Added 3 hours ago
Senior Director, Software Engineering
Circana
Remote, United States
Work with diverse data formats (structured and unstructured) to support advanced analytics and machine learning initiatives.
Added 3 hours ago
Systems Engineer
Grantek Systems Integration
Remote, United States
We are seeking a highly skilled and experienced Systems Engineer, preferably with experience in food and beverage and life sciences industries.
Added 3 hours ago
Systems Engineer
Grantek Systems Integration
Remote, United States
We are seeking a highly skilled and experienced Systems Engineer, preferably with experience in the food and beverage or life sciences industries.
Added 3 hours ago
TV
Software Engineer, Platform Team
The Voleon Group
Remote, United States
- $235,000 to $300,000 USD / year
We look for engineers who are motivated by solving complex problems through strong fundamentals and thoughtful system design. You’ll work in a highly collaborative environment that values…
Added 5 hours ago
Software Engineer II - Offboard Python Application
Latitude AI
Remote, United States
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…
Added 6 hours ago
AS
Principal Software Engineering - Reliability and FinOps Engineer
AT&T Services, Inc.
Remote, United States
- $155,400 to $261,100 USD / year
As a Principal System Engineer, you will serve as a senior technical leader across FinOps, cloud optimization, system reliability, and AI-driven automation. You will shape and execute…
Added 6 hours ago
TV
Staff Software Engineer, Platform Team
The Voleon Group
Remote, United States
- $325,000 to $410,000 USD / year
We look for engineers who are motivated by solving complex problems through strong fundamentals and thoughtful system design. You’ll work in a highly collaborative environment that values…
Added 11 hours ago
Senior Infrastructure Engineer
Jobgether
Remote, United States
Familiarity with scalable and reproducible machine learning pipelines and tools such as Kubeflow, MLflow, and Amazon SageMaker.
Added 11 hours ago
Senior Technical Program Manager
Jobgether
Remote, United States
Added 14 hours ago
DevOps Engineer
Jobgether
Remote, United States
Exposure to MLOps or machine learning pipeline development.
Added 15 hours ago
Power Automation Developer
GD Information Technology, Inc.
Remote, United States
…Automate, with a strong focus on secure application architecture, system integration, and custom development. This role blends architectural leadership with active solution delivery and…
Added 16 hours ago
Data Scientist 1
Baylor Scott & White Health
Remote, United States
Applied Data Science and Experimentation | 20%: Apply statistical analysis, machine learning, natural
Added 20 hours ago
Applied AI Engineer
Fair Isaac Corporation
Remote, United States
…choice they make, using advances in artificial intelligence, machine learning, optimization, and much…
Added 22 hours ago
AI/ML Software Engineer
ASG
Remote, United States
Demonstrated experience in deploying machine learning, data engineering, and applied AI solutions to solve customer and business challenges at scale
Added 22 hours ago
Senior Systems Engineer
APEI
Remote, United States
The Senior Systems Engineer supports and improves hybrid infrastructure across Windows Server, virtualization, enterprise applications, cloud services, identity platforms, and…
Added 1 day ago
Principle SRE
Merge Healthcare Solutions Inc. (US)
Remote, United States
Build reliability capability in others through design reviews, pairing, and blameless post-incident learning.
Added 1 day ago
GTM Forward Deployed Engineer
Foley
Remote, United States
- GTM Engineer: You built the outbound and enrichment machine at a startup or scale-up, owned deliverability, and can tell us exactly what it did to pipeline, including how you handled a…
Added 1 day ago
R
Distinguished AI Engineer
Rapid7
Remote, United States
- $273,900 to $370,500 USD / year
…production LLM or agentic AI systems. A PhD in Computer Science, Machine Learning, AI or a related field is preferred, or equivalent depth of expertise demonstrated through industry…

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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