Simular jobs, judged for you, free

What they do

Simular builds AI agents that operate a computer as a person does. They click, type, and move between apps. Its products include Sai, Simular Pro, the Simular API, and Agent S, an open-source framework for computer-use agents. Former DeepMind scientists started Simular in 2023. In December 2025, it raised a $21.5M Series A that Felicis led.

What they value

• "Autonomy needs a closed feedback loop."
• "Autonomy means optimally free."
• "Autonomy needs accountability."
• People who are comfortable with ambiguity and own big problems end to end.
• A bias for action: ship and learn, instead of plan and wait.
• Strong communication and collaboration.

Where they hire

Of 22 roles, 21 are in Singapore and 12 are in Palo Alto. Many roles list both cities, and the first city in the list has priority. Six roles also list Remote, such as one engineering role and some interns. The other roles are on site. No posting mentions visa sponsorship or the right to work.

Teams and roles

Simular is small: its about page names 23 people. The board has 12 full-time roles and 10 internships.

• Engineering: software engineers for agent infrastructure, agentic applications, computer control, growth, and the monetization platform. A security engineer will be the first security hire in Singapore. A forward deployed engineer adapts the agents for early customers.
• Agent infrastructure: virtual machines for the agents, APIs, billing, and deployment.
• Computer control: the layer that turns the model's intent into mouse and keyboard actions on macOS, Windows, and Linux.
• Research: a research scientist and a PhD research intern work on planning, reinforcement learning, and multimodal grounding for computer use.
• Product, go-to-market, and corporate: an AI product manager, product and user operations, and interns in data analysis, design, finance, people, and growth.

Only the people and operations generalist role in Palo Alto gives pay: $70K to $100K, with a bonus.

What they look for

Several engineering roles ask for strong programming in Python, Go, Rust, JavaScript, or TypeScript. The infrastructure role asks for people who can learn whatever a task needs. The computer control role asks for experience with operating system input automation and accessibility APIs. The monetization role asks for five or more years of backend work and experience with Stripe. The security role asks for three to six years in security, and an interest in AI agent security, such as prompt injection.

Research roles ask for a PhD, or a PhD in progress for the intern. They ask for papers at top conferences such as NeurIPS and ICML, and for PyTorch or JAX. The software engineer intern role prefers a competitive programming background. Many roles ask people to do well in a fast, early-stage startup.