--- title: 'Software Engineer, Infrastructure at Scaled Cognition' canonical: 'https://feeny.ai/job/software-engineer-infrastructure-scaled-cognition-new-york-rkmw96x31626' type: 'job' last_seen: '2026-10-12' --- # Software Engineer, Infrastructure at Scaled Cognition - **Company:** Scaled Cognition - **Location:** New York, NY - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-01-29 - **Last confirmed live:** 2026-10-12 - **Apply:** https://jobs.ashbyhq.com/scaled-cognition/4a73e6a3-56ae-4185-90ee-5686040da858/application **Skills:** AWS, GCP, Azure, GPU infrastructure, Cloud platforms, System deployment > Design and improve inference infrastructure for AI models, benchmarking and monitoring latency and throughput. Collaborate with research scientists and product engineers to streamline the end-to-end process from model development to production deployment on major cloud platforms. ## Job description Scaled Cognition is the world’s only model lab dedicated exclusively to customer experience and pioneering agentic models purpose-built for reliable action-taking enterprise applications. Backed by Khosla Ventures, the company’s flagship Agentic Pretrained Transformer (APT) eliminates hallucinations, enforces enterprise policies and increases reliability in real-world CX workflows. Founded by serial AI entrepreneurs, former Microsoft Corporate Vice President of Conversational AI Dan Roth, and UC Berkeley AI Professor Dan Klein, and built by a team of world-class PhD researchers and engineers, Scaled Cognition advances the science of agentic AI to deliver safe, policy-aligned automation that enterprises can trust. As a Software Engineer, Infrastructure at Scaled Cognition you will: - Design and improve inference infrastructure that powers our AI models. - Benchmark, profile, monitor and analyze latency and throughput and drive improvements throughout the stack. - Collaborate with research scientists and product engineers to streamline the end-to-end process from model development to production deployment. You might be the right person for the job if you: - Are a continuous learner and are eager to explore new tools and technologies. - Thrive in a dynamic environment and are comfortable adapting to changing priorities while maintaining a focus on delivering high-quality solutions. - Have successfully navigated projects with significant product and technical ambiguity, and you excel at the intersection of complex technical challenges and user-focused solutions. Key Qualifications: - Experience deploying systems on major cloud platforms (AWS, GCP, Azure). - Prior experience designing and implementing GPU infrastructure / tooling. - A strong sense for scalability and developing secure, highly reliable environments. ## About Scaled Cognition ## Company Overview - **One-liner**: Scaled Cognition builds a frontier model for customer service that eliminates hallucinations, delivering super-reliable, policy-compliant AI agents for enterprise CX. - **Entity Type**: Private (Series A, led by Khosla Ventures) - **Headquarters**: Mountain View, California, USA - **Founded**: 2023 - **Founders**: Dan Roth (CEO), Dan Klein (CTO), Damon Pender (CFO) ## Core Business - Primary industry: Enterprise AI / Customer Service (CX) - Target customers: Large enterprises and brands that need trustworthy, audit-proof AI for customer-facing operations (B2B, Enterprise) - Mission: Deliver “Super‑Reliable Intelligence” – AI that can be trusted to act on behalf of enterprises accurately, consistently, and at scale. ## Products & Services - **APT (Agent‑Powered Technology)**: A hallucination‑free frontier model purpose‑built for CX. Offers a standard, stateless RESTful API that enforces policies, permissions, and business logic architecturally. Supports no‑code, low‑code, and SDK‑based agent building. Can be deployed in the cloud, in the customer’s VPC, or on‑premises. - **GenAPI™ Simulation**: A testing framework that runs thousands of simulated CX scenarios to validate agent correctness, policy adherence, and reliability before production. - **Agent Evaluator**: Generates evaluation reports with correctness scores, policy compliance gaps, and reliability patterns across large scenario sets. - **Agent Monitoring**: Continuous production monitoring to detect drift, policy violations, and anomalies. - **Platform Authoring & Validation Tools**: Tools for building agents with no‑code/low‑code, and for validating them with simulation, plus professional services from the research team. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total funding amount not publicly available; known rounds include a Seed round, a Corporate Round led by Genesys (Oct 2025), and a Series A led by Khosla Ventures (announced on website) - **Notable Investors/Partners**: Khosla Ventures (lead, Series A), Genesys (corporate round investor), plus partners mentioned as “backed by Vinod Khosla, Genesys, and partners” [scaledcognition.com] - **Growth Signals**: - Employee headcount of 27 with +61.9% year‑over‑year growth and +6.2% monthly growth [LinkedIn] - Workforce heavily research‑oriented: 21% of employees in Research, 29% in Technical roles - Talent drawn from top labs/companies (Microsoft, Amazon, Google, Meta, etc.) - Active job postings (4 open roles as of profile date) with +300% year‑over‑year posting growth ## Competitive Advantages - **Architecture‑enforced reliability**: Unlike general‑purpose models (which can only be prompted), Scaled Cognition’s model has policies and business logic baked into its architecture – “policies that can’t be broken” and hallucination‑free by design. - **Full stack for CX**: Offers end‑to‑end simulation, validation, monitoring, and deployment tools purpose‑built for customer service, not a repurposed general‑purpose model. - **Ownership & control**: All prompts, policies, and business logic stay with the customer; models can be deployed in‑house, providing security and compliance for enterprises. - **Research‑backed engineering**: Team includes world‑class AI researchers (e.g., company describes itself as “world‑class researchers and engineers who ship fast”) and has produced a model that achieves “Pass100” reliability (same correct answer across 100 identical scenarios). ## Strategic Focus - Continue research and development to close the gap between general‑purpose AI and enterprise reliability requirements - Accelerate team growth across Research, Engineering, Product, and Go‑to‑Market [careers page] - Expand enterprise adoption and on‑premises deployments - Strengthen partnerships with leading CX platforms (e.g., Genesys) and enterprise infrastructure providers ## Why Work Here - **Mission‑driven culture**: Building “Super‑Reliable Intelligence” that enterprises can trust – a defining challenge in the current AI era. - **Scientific rigor + startup velocity**: Described as “no bureaucracy, no ego – just hard problems and the people solving them”; a bias for action and iterative shipping. - **Top‑tier team**: Colleagues from leading AI labs (Microsoft, Google, Amazon, Meta) and universities; deep research culture integrated with product engineering. - **Flexible work**: Roles based in Los Angeles and Mountain View; likely hybrid/on‑site given location requirements on careers page. - **Growth opportunity**: Rapidly scaling company (61% employee growth YoY) with open roles across multiple functions, offering impact on foundational AI for enterprise. - **Perks**: Not detailed, but emphasis on ownership of your work, direct impact on the product, and the chance to shape the future of enterprise AI. ## Sources 1. [scaledcognition.com](https://www.scaledcognition.com/) 2. [scaledcognition.com/careers](https://www.scaledcognition.com/careers) 3. [scaledcognition.com/about](https://www.scaledcognition.com/about) 4. [linkedin.com/company/scaledcognition](https://www.linkedin.com/company/scaledcognition) 5. 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