Jobs in the United States

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Added 1 min ago
Senior Data Engineer – AWS, Python
Hitachi Global
Charlotte, NC
Hitachi Digital (Formerly GlobalLogic) estimates the starting base salary for the Senior Data Engineer in Charlotte, NC to be between $110,000 to $120,000 and reflects base salary only and…
Added 5 mins ago
Senior Director Software Engineering
Capital One
Nashville, TN
As a Senior Director, Full-stack Engineer at Capital One, you will lead high-performing engineering teams working to define the future of banking in the cloud. You will partner closely with…
Added 5 mins ago
Senior Software Engineer
HCA Healthcare
Nashville, TN
This engineer can quickly learn, maintain and pragmatically improve existing solutions as well as design new ones. They will provide key problem resolutions for production systems as…
Added 5 mins ago
EG
Automated Test Engineer
Eliassen Group
Nashville, TN
- $40 to $50 USD / hour
Our client seeks an Automated Test Engineer to support Hivemind by monitoring and maintaining large volumes of automated tests, troubleshooting failures, and driving bug resolution across…
Added 8 mins ago
AI/ML Engineer
Texas Instruments
Richardson, TX · Lehi, UT
Texas Instruments is looking for a Sr. AI/ML engineer who is experienced with developing and deploying multi-agent solution at scale. This role is critical to accelerating our digital…
Added 8 mins ago
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Senior Database Engineer
TEKsystems
Phoenix, AZ
- $75 to $85 USD / hour
Hands-on experience with scripting languages (e.g., Python, Terraform, Chef) for automation and monitoring.
Added 12 mins ago
Senior Software Engineer (Agentic SDLC)
Ford Global
Dearborn, MI
Hence, the employee must live within a reasonable commuting distance from Dearborn, MI · This position is hybrid with a requirement to be onsite four or more days per week
Added 15 mins ago
Staff Data Engineer
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United States
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Jr. Application Developer (58813)
ApolloMD
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Added 16 mins ago
BS
Sr. Software Engineer
BCC Software
Remote, United States
- $120,000 to $160,000 USD / year
BCC Software is seeking a senior engineer who can sustain and evolve business-critical C/C++ products while helping shape their path to a modern Microsoft technology stack. The ideal…
Added 18 mins ago
Staff MLE, GAI Search Platform - Moveworks
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Mountain View, CA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 18 mins ago
Lead Data Engineer
Lincoln Financial
Radnor, PA
The Lead Data Engineer provides technical leadership for Lincoln’s Data & Analytics platform on AWS. This role designs, builds, and maintains scalable data pipelines and optimizes data…
Added 18 mins ago
UG
Software Engineer
UnitedHealth Group
Boston, MA
- $72,800 to $130,000 USD / year
As a Software Engineer within Optum Technology supporting UnitedHealthcare Technology initiatives, you will design, develop, test, and maintain robust software applications and services…
Added 20 mins ago
Staff Network Production Engineer, Operations
Crusoe
San Francisco, CA
Crusoe Cloud is seeking a Staff Network Production Operations Engineer to help own production reliability across our global network infrastructure, including edge, backbone, data center…
Added 20 mins ago
Senior Staff Engineer - Precision Analog and Mixed Signal
Renesas Electronics
Palm Bay, FL
Candidate must possess a minimum bachelor’s degree (or equivalent) in Electrical/Electronic Engineering · Candidate must have excellent verbal and written communication skills
Added 21 mins ago
Solutions Engineer, Federal
Cisco Systems, Inc.
Remote, United States
Hands-on experience with Network Automation, Infrastructure-as-Code (IaC), Python scripting, REST APIs, or Ansible.
Added 21 mins ago
Senior Software Engineer, Machine Learning Platform - Serving (US)
DoorDash USA
San Francisco, CA · Sunnyvale, CA · Seattle, WA
You have strong computer science fundamentals and proficiency in a backend or systems programming language such as Java, Kotlin, Go, C++, or Python.
Added 23 mins ago
Intern - IT Software Engineer
Micron Technology, Inc.
Boise, ID
As an IT Software Engineer Intern at Micron, you will create software that contributes to a suite of applications supporting Micron’s Business Data Warehouse. Join our professional and…
Added 23 mins ago
EDM / Laser Engineer - Senior
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United States
Qualifications You Must Have:
Added 24 mins ago
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Senior Manager, Software Engineering - Remote
UnitedHealth Group
Eden Prairie, MN
- $112,700 to $193,200 USD / year
area, you will be required to work in the office a minimum of four days per week
Added 26 mins ago
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GTM Engineer
SPS
Remote, United States
- $100,300 to $130,000 CAD / year
As a GTM Engineer, you will help build and maintain the systems and workflows that power our go-to-market engine. This is a hands-on technical role embedded in the GTM organization, focused…
Added 27 mins ago
Sr. Forward Deployed Data Engineer
Natera
Remote, United States
We are looking for a Senior Forward Deployed Data Engineer to work directly with internal business stakeholders and domain teams to design, build, and deploy high-impact analytics and AI…
Added 28 mins ago
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Electrical Test Engineer
Actalent
Golden Valley, MN
- $45 to $65 USD / hour
Electrical Test Engineer We are seeking a Test Engineer to lead system verification, reliability validation, and test strategy development for complex robotic and electro-mechanical…
Added 32 mins ago
Platform Security Engineer
PhysicsX
NY
We are recruiting for a Product Security Engineer to support our FDSE’s and delivery teams. You will be responsible primarily for threat modeling, security design reviews, assessing…
Added 33 mins ago
Core Senior .NET Software Engineer
Evolent
Charleston, WV
The Senior Software Engineer leads the design, development, and deployment of complex software solutions, ensuring scalability and maintainability. This role architects and implements…

DoorDash USA

Senior Software Engineer, Machine Learning Platform - Serving (US)

San Francisco, CA, United States
Sunnyvale, CA, United States
Seattle, WA, United States

$167,800 - $246,800 USD

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Job details

Pay: $167,800 - $246,800 USD
Experience: You have 2+ years of software engineering experience building and maintaining production services or infrastructure.
Posting language: English
Posted: Nov 12, 2026

Original job description

About the Team

DoorDash’s ML Serving Platform delivers tens of millions of predictions per second, powering search, recommendations, advertising, delivery estimates, and logistics across DoorDash, Wolt, and Deliveroo.

Our customers are modelers and engineering teams across our internal business verticals. We build self-serve infrastructure that empowers them to bring new models into production, adopt open source software and models, and expand what they can accomplish with machine learning at scale.

We work at the intersection of a rapidly evolving open source ecosystem and demanding production workloads. With active customer demand and growing modeling ambitions, we’re advancing the infrastructure behind today’s predictions while building the capabilities that enable the next generation of ML innovation.

About the Role

You’ll help build the next generation of our ML serving platform, connecting request routing and online feature retrieval with model inference on CPU and GPU infrastructure. You’ll tackle challenging infrastructure problems involving latency, reliability, resource efficiency, and scale, and make those capabilities accessible through self-serve tools and workflows.

Working alongside experienced platform engineers, you’ll own defined projects from technical design and implementation through testing, rollout, and production support. You’ll partner directly with internal teams to understand emerging modeling requirements, remove adoption barriers, and turn advances in open source technology into measurable production improvements.

You’re excited about this opportunity because you will…

Empower modelers through self-serve infrastructure. Build tools, APIs, and workflows that help internal teams deploy, configure, validate, and operate models independently, accelerating ML adoption across business verticals.
Bring open source innovation into production. Evaluate and integrate evolving inference frameworks and enable open source models, translating promising capabilities into reliable, efficient services at scale.
Solve demanding inference infrastructure problems. Improve the systems that route prediction requests, retrieve online features, and execute models on a platform serving tens of millions of predictions per second.
Help evolve our disaggregated serving architecture. Build modular components that allow routing, feature retrieval, and model execution to evolve and scale independently as workloads and modeling requirements change.
Improve Kubernetes deployment and autoscaling. Help workloads respond to changing traffic while meeting latency and availability requirements and using CPU and GPU resources efficiently.
Make adoption and rollout easier. Build integrations, validation, and migration tooling that help teams adopt new serving capabilities and our unified global platform with confidence.
Own performance and reliability in production. Use benchmarking, profiling, metrics, and tracing to identify bottlenecks; participate in on-call and improve automation and runbooks to make the platform easier to operate.

We’re excited about you because…

You have 2+ years of software engineering experience building and maintaining production services or infrastructure.
You have strong computer science fundamentals and proficiency in a backend or systems programming language such as Java, Kotlin, Go, C++, or Python.
You understand distributed systems fundamentals, including concurrency, networking, timeouts, failure handling, and performance trade-offs.
You enjoy challenging infrastructure problems and can independently turn a defined problem into a technical design, tested implementation, and safe production rollout.
You have experience debugging production systems and using operational data to improve reliability, performance, or cost.
You care about the engineers using your platform and collaborate effectively with customers and partners to make complex infrastructure easier to adopt.
You hold a degree in Computer Science or a related field, or have equivalent practical experience.

Nice to Have

Experience with ML inference infrastructure, online feature retrieval, or other latency-sensitive distributed services.
Experience operating containerized workloads on Kubernetes, including deployment, resource management, or autoscaling.
Experience building self-serve developer platforms, APIs, or automation that helps other engineers move faster.
Experience integrating open source infrastructure or models and validating their behavior under production workloads.
Familiarity with CPU/GPU performance profiling, inference runtimes, or model deployment workflows.

Relevant Technologies and Keywords

Open source inference runtimes and models, NVIDIA Triton, ONNX Runtime, Kubernetes, CPU/GPU inference, gRPC, online feature stores, distributed systems, performance profiling, autoscaling, and self-serve ML infrastructure.

Familiarity with every technology is not expected. We welcome engineers with strong backend and infrastructure fundamentals who are excited to learn the ML serving ecosystem.

Compensation

The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.

To learn more about our benefits, visit our careers page here.

See below for paid time off details:

For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).

The national base pay range for this position within the United States, including Illinois and Colorado.

$167,800 - $246,800 USD

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users - from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.

Notice Regarding Use of AI and Automated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Metaview.

How it works: Metaview assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Metaview or other AI-enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law.

Data Retention, Privacy & Bias Audit: Data collected during this process is retained in accordance with our Candidate Privacy Policy https://help.doordash.com/en-us/legal/article/ax-privacy-notice and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Metaview is publicly available for review at https://trust.warden-ai.com/metaview/application-review.

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Jobs in the United States