Senior Automation Engineer
Leads industrial automation projects from scope and functional specifications through DCS/PLC programming, HMI development, testing, commissioning, and start-up, while coordinating with clients and mentoring engineers.
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
We are looking for a Security Software Engineer, IAM, to build identity and access management (IAM) infrastructure as software, not administer identity products, and this role suits a software engineer who has gone deep on identity or an IAM engineer with a strong engineering background. You will own identity and IAM end to end, replacing the approval queue with access that is self-serve, time-bound, and provable, built so identity is defined as code, reviewed in pull requests, deployed through CI, and observable in production, and you will help decide how agents act on behalf of users and systems. This is a hybrid role based in San Francisco or New York City, with three days a week in the office.
The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Leads industrial automation projects from scope and functional specifications through DCS/PLC programming, HMI development, testing, commissioning, and start-up, while coordinating with clients and mentoring engineers.
Leads hands-on design and delivery of complex, business-critical software systems, shaping architecture and quality while resolving production issues and mentoring engineers across teams.
Lead the optimisation of last-mile delivery by modelling routing, pricing and scheduling decisions, developing production-scale solvers, and integrating machine learning with operational research.
Design and deploy secure, resilient distributed systems for AI-powered evidence search and analysis, bringing machine learning models, retrieval pipelines, and structured data systems into production.
Own vehicle platform security requirements and architecture, define secure interfaces and features with OEMs, and lead verification, testing, and issue resolution across vehicle platforms and prototypes.