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Added 2 mins ago
Senior DevOps Engineer, Observability and FinOps
CACI
Reston, VA · Rome, NY · Denver, CO · Reston · Rome · Denver
Job Title: Senior DevOps Engineer, Observability and FinOps
Added 26 mins ago
Software Engineer [Multiple Positions Available]
JPMC page
Houston, TX
…and rate-limiting, failure-mode design, and high-availability operational readiness; Building and operating automated delivery and infrastructure workflows using Kubernetes and CI/CD…
Added 35 mins ago
BV
AI Pipeline Engineer
Bright Vision Technologies
Remote, United States
- $100,000 to $150,000 USD / year
We are seeking an AI Pipeline Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering…
Added 40 mins ago
BV
Infrastructure Reliability Engineer
Bright Vision Technologies
Remote, United States
- $100,000 to $150,000 USD / year
We are seeking an Infrastructure Reliability Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data…
Added 43 mins ago
Senior Staff Software Engineer - Cloudera Cloud Factory
Cloudera Inc.
Remote, United States
We are looking for a Senior Staff Engineer to join the Cloudera Cloud Factory and play a pivotal role in shaping the architecture, engineering direction, and technical execution of our next…
Added 45 mins ago
Network Architect
Astreya Partners, LLC
Santa Clara, CA
…clients ensuring robust connectivity strong security posture and operational efficiency across complex enterprise environments while mentoring teams and aligning designs with business…
Added 55 mins ago
Cloud Engineer
Trulieve
Tallahassee, FL
The Cloud Engineer supports the reliability, performance, security, monitoring, and continuous improvement of Trulieve's cloud-hosted platforms and business-critical applications across…
Added 1 hour ago
Senior Observability Engineer
Verisign
Reston, VA
Verisign is seeking a Senior Observability Engineer to design and advance observability capability that transforms operational data into actionable insight. This role will create unified,…
Added 1 hour ago
MH
Senior Azure Artificial Intelligence Security Architect - Remote
Molina Healthcare
Long Beach, CA
- $111,893 to $218,192 USD / year
…confidentiality, and availability of AI models, associated data, and dependencies. Guides teams in assessing model risks, implementing safeguards, and validating security before deployment…
Added 1 hour ago
Software Engineer, AI for Incident Response (Technical Leadership)
Meta
Menlo Park, CA
…responders visibility into the agent's work and brings together the operational data they need to make decisions.This is a deeply hands-on technical leadership role at the intersection of…
Added 1 hour ago
BV
AI Research Engineer
Bright Vision Technologies
Remote, United States
- $100,000 to $150,000 USD / year
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
Added 1 hour ago
BV
ML Platform Engineer
Bright Vision Technologies
Monroe Township, NJ
- $100,000 to $160,000 USD / year
We are seeking a ML Platform Engineer to design, build, and operate high-performance, highly reliable inference platforms for serving large machine learning models in production. The role…
Added 1 hour ago
BV
Staff Software Engineer
Bright Vision Technologies
Remote, United States
- $100,000 to $180,000 USD / year
Strong understanding of operational excellence, reliability, and observability.
Added 1 hour ago
J
Senior Dynatrace Observability Engineer / Subject Matter Expert (SME)
Jobgether
Remote, United States
- $76 to $81 USD / hour
…and next steps. Our partner is looking for a Senior Dynatrace Observability Engineer / Subject Matter Expert (SME) based in the United…
Added 1 hour ago
J
Senior AI Software Engineer
Jobgether
Remote, United States
- $148,750 to $201,250 USD / year
Reliability and Performance: Improve software security, performance, observability, maintainability, and operational resilience.
Added 2 hours ago
J
Senior Software Engineer, II
Jobgether
Remote, United States
- $118,500 to $216,500 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, II based in the United States.
Added 2 hours ago
Forward Deployed Engineer | Merchandising
RELEX Solutions
Atlanta, GA
In response to our fast growth in North America, we are hiring a Forward Deployed Engineer with a strong data science foundation for our US Merchandising business. You will be part of the…
Added 2 hours ago
AI Staff SW Systems Engineer -AI Infra -Distributed Systems,Microservice, AI Infrastructure,Agentic
Extreme Networks, Inc.
Remote, United States
…platforms and services that process large volumes of network and operational data and power AI experiences across Extreme. These systems must be scalable, secure, reliable, observable,…
Added 2 hours ago
Intermediate Forward Deployed Engineer
NTT America, Inc.
Albany, NY
The Intermediate Forward Deployed Engineer is an experienced technical contributor within cross functional FDE PODs embedded with clients. The role turns business priorities into production…
Added 2 hours ago
EG
Senior AI Enablement Engineer
Eliassen Group
New York, NY
- $85 to $95 USD / hour
Our client is seeking a Senior AI Enablement Engineer to design, build, integrate, and operationalize AI-powered tools and workflows across the business. This hands-on individual…
Added 3 hours ago
Sr Principal Engineer - Data
Lilly
Indianapolis, IN
We are seeking an experienced Senior Principal Data, Analytics & AI Engineer to join the Global DIA team within MQ Tech at Lilly. This role sits at the intersection of data engineering,…
Added 3 hours ago
Lead Platform Engineer, Agentic Issue Resolution (AIR)
Ford Motor Company
Redford, MI
Plant teams lose hours each shift piecing together what went wrong: pulling data from separate systems, chasing history, and rebuilding context before they can fix anything. That groundwork…
Added 3 hours ago
AI/ML Software Engineer
KLATencor Corporation
Ann Arbor, MI
…work across your area of expertise. We are seeking an AI/ML Engineer to help build agentic AI solutions that automate workflows and support better decisionmaking across the enterprise. In…
Added 4 hours ago
Senior Engineer, Technology I
AbbVie
North Chicago, IL
Work collaboratively with technology and business groups to conceive, design, engineer, and implement full stack software solutions that solve significant scientific or business problems.…
Added 4 hours ago
GI
Software Engineer III, Cloud Foundations
GitHub, Inc.
United States
- $107,700 to $285,900 USD / year
…GitHub’s internal compute platform across Azure and our global data centers. Our responsibilities span the VM platform, compute provisioning and lifecycle management, OS and container base…

Wayve

Staff Software Engineer Engineer, Model Development Platform

United States

$276,100 to $293,750 USD / year

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Job details

Pay: $276,100 to $293,750 USD / year
Posting language: English
Posted: Oct 28, 2026

Original job description

Before the detail, here's the challenge you'd help us solve.

We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.

Here’s what this particular role covers.

🛠️ About the role As a Staff Software Engineer on the Model Development Platform, you'll own the architecture of the cloud services that power Wayve's AI model lifecycle, from data and training workflows to experiment scheduling, evaluation and on-road testing. You'll build the secure, reliable and scalable foundations (identity and access, microservices, micro-frontends, deployment and rollback) that let researchers and engineers iterate fast and ship autonomous driving models safely.

🧠 Your day-to-day Working with the Head of Model Dev Platform and fellow technical leads, you'll shape the technical direction for your area and align platform engineering with company goals. You'll lead by example: staying hands-on across backend services, web applications and cloud infrastructure, and raising the bar through design reviews and mentorship.

🧩 What you’ll own

Scalable, reliable cloud services: Design and evolve the architecture of major platform services for reliability, observability, security and scalability. Help set availability, latency and performance targets (SLAs/SLOs) and drive the practices to meet them.
Authentication & authorization: Own the identity, access control and auditability layer across platform services and applications, so access to sensitive models and fleet data is secure, consistent and easy to adopt.
Microservices & micro-frontends: Define the patterns, boundaries and shared tooling for backend microservices and micro-frontends, so teams can build and release independently while systems interoperate cleanly.
Deployment & rollback infrastructure: Build robust CI/CD, progressive delivery and fast, safe rollback, with the observability, alerting and self-healing needed to ship often and recover quickly.
End-to-end technical ownership: Take significant services and multi-quarter initiatives from problem definition and design through to production operation, making clear trade-offs between speed, scalability, security and operational simplicity.
Cross-team technical leadership: Connect your area with adjacent disciplines, from experiment scheduling and data pipelines to distributed compute, and lead design reviews that establish reusable patterns.
Hands-on problem solving: Tackle the hardest technical challenges in your subteams with pragmatic solutions that balance innovation and operational simplicity.
Strategic collaboration: Partner with Product, Research, Design and Operations to align technical solutions with user needs and contribute to the platform's long-term roadmap.

🙌 You should apply if

Technical leadership: 7+ years designing and building large-scale distributed systems, cloud platforms or developer platforms, including at senior or staff level.
Cloud services & architecture: Proven ability to design and operate scalable microservice architectures on a major cloud provider, with strong grounding in API design, data modeling, asynchronous workflows and distributed-systems fundamentals.
Security & access control: Hands-on experience implementing authentication and authorization (e.g. OAuth2/OIDC, RBAC) with sound security practices.
Reliability & delivery: Experience driving reliability improvements, defining SLAs/SLOs, and building observable, self-healing, highly available systems. Experience with CI/CD, containerization and orchestration (e.g. Kubernetes), infrastructure as code, and safe release and rollback strategies.
Hands-on engineering: Ability to write and review production-quality code in languages such as Python or TypeScript, with a good understanding of modern web architectures including React and micro-frontends.
End-to-end ownership: A track record of taking significant services from design through deployment and production operation.
Collaborative influence & mentorship: Excellent communication and cross-functional skills, with a track record of mentoring engineers through design discussions, code reviews and pairing, and of fostering a culture of engineering excellence.

Nice to have:

Experience building internal developer platforms, workflow systems or tools for ML researchers and engineers.
Familiarity with ML operations, such as training, evaluation, experiment tracking and artifact management.
Experience with data pipelines, distributed job orchestration, event-driven architectures or large-scale compute (e.g. Spark, Ray, Airflow, MLflow).
Experience with service mesh, API gateways, or feature-flagging and progressive-delivery tooling.
Knowledge of privacy, compliance and secure handling of sensitive or large-scale data.
Experience in autonomous systems, robotics, simulation or another safety-critical domain.🛠️ About our Engineering Teams The Model Development Platform team builds the infrastructure and tooling behind Wayve’s AI model lifecycle, from data ingestion and training to experiment scheduling and on-road testing. Our work spans AI research, large-scale distributed systems and robotic operations, and lets researchers and engineers iterate fast and deploy autonomous driving models safely.

🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.

More about Wayve:

🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines.

Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.

How we work 💻- Locations & Flexible Working:

Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.

🔍 The Interview Process:

Our process is clear and respectful of your time:

Initial call / recruiter screen
HM meeting
Deep-dive technical interviews [programming, system design & domain-specific interviews; 4 hours total]
Final interview: mission & values alignment

We’ll always explain the format and work around your availability.

What’s in it for you (Location dependant):

💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

A quick, honest note before you apply.

Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.

If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve. https://wayve.ai/careers/ To learn more about what drives us, visit Values at Wayve https://wayve.ai/careers/

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

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