Benefits:

• Medical, dental, vision benefits

• Unlimited PTO

• 401(k) plan with company match

• Home office upgrade stipend

• Annual wellness stipend

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Experience Requirements:

• 6+ years of experience

• 4+ years of hands-on experience in backend infrastructure

Other Requirements:

• US citizen/visa only

• AI-first mindset

• Experience with AWS and API design

Responsibilities:

• Design, develop, and maintain scalable backend systems

• Collaborate for seamless integration with ML models

• Monitor and optimize performance in production

• Build and maintain integrations with 3rd party software

• Optimize AI pipeline for challenging audio environments

Benefits:

• Generous compensation package

• Equity

• Employer-sponsored health, dental, and vision insurance

Other Requirements:

• US citizen/visa only

• Anime aesthetic resonance

• Comfortable on small, fast-paced, on-site teams

Responsibilities:

• Wizarding wordsmith of LLM models

• Understand core narrative, themes, and character motivations

• Develop systems for character expression

• Apply latest research results to the game

• Push the boundaries of written and verbal communications

Benefits:

• Healthcare, vision, dental

• Meals

• Gym membership (Dogpatch Boulders)

• Laptop and custom workstation

• Commute costs

Experience Requirements:

• 3+ years of experience

• 5+ years experience in full-time engineering/management roles

Other Requirements:

• US citizen/visa only

• TypeScript, React, Node, GraphQL proficiency

• Hunger for high-focus, high-growth work

Responsibilities:

• Help build automated mortgage brokering

• Qualify more leads by extending AI voice agent

• Boosting close rate with beautiful rate quotes

• Automate loan processing with browser agents

• Helping define Chestnut's culture

Benefits:

• Medical, dental and vision

• Life and AD&D insurance

• Flexible paid time off

• Paid family leave benefits

• $500 monthly meal reimbursement

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field

• Advanced degree (Master’s or PhD) in machine learning, compilers, or systems highly preferred

Experience Requirements:

• Strong expertise with deep learning frameworks (PyTorch, JAX, or TensorFlow)

• Experience profiling models on hardware accelerators

• Experience with model optimization techniques

• Deep understanding of compiler internals

• Experience with CUDA, Triton, or GPU programming models

Other Requirements:

• Knowledge of distributed computing and parallelism strategies

• Familiarity with software engineering practices (APIs, CI/CD)

• Track record contributing to open-source projects

• Strategic leadership for revenue-driving functions

Responsibilities:

• Own technical direction of performance-oriented model optimization efforts

• Advance compiler technology through optimization passes and graph transformations

• Ensure optimizations are accessible via clean APIs and automated tooling

• Design profiling and debugging tools to identify bottlenecks

• Service high impact customer deals as key technical and strategic leader

Benefits:

• Medical, dental and vision

• Life and AD&D insurance

• Flexible paid time off

• Paid family leave benefits

• $500 monthly meal reimbursement

Experience Requirements:

• Extensive experience writing efficient, maintainable code in Go

• Knowledge of backend and frontend systems (APIs, CLI, billing)

• Experience with cloud platforms like AWS, GCP, or Azure

• Familiarity with containerization (Docker, Kubernetes)

• Hands-on experience in a SaaS technology company

Other Requirements:

• Commitment to software quality and test automation

• Ability to operate in high uncertainty and rapidly changing environments

• Experience managing technical debt

Responsibilities:

• Write readable, testable, and efficient code in Go

• Scale the Lightning AI platform (frontend, CLI, API, billing)

• Partner with engineering and product leaders on technical direction

• Evaluate and document technical architecture and tools

• Mentor and coach engineers on system design

Benefits:

• Medical, dental and vision

• Life and AD&D insurance

• Flexible paid time off

• Paid family leave benefits

• $500 monthly meal reimbursement

Experience Requirements:

• Proficiency in React and Go (Golang)

• Strong understanding of software engineering principles

• Experience in a SaaS technology company

• Ability to drive development from end to end

Other Requirements:

• Ability to operate in high uncertainty

• Experience with Python is a plus

Responsibilities:

• Write code in React and either Python or Go

• Develop and scale platform (frontend, CLI, API, billing)

• Set technical direction for large projects

• Reduce technical debt and drive continuous delivery

• Mentor engineers on problem-solving

Benefits:

• Competitive base + uncapped commission

• Meaningful equity

• Remote-first culture + flexible work

• Unlimited PTO

• Health benefits

Experience Requirements:

• 6+ years of experience

• 3+ in enterprise SaaS or security sales

• Proven ability to land and expand large accounts

• Strong consultative sales skills (MEDDPICC or similar)

• Ability to navigate procurement and negotiate enterprise contracts

Other Requirements:

• Must live in the Bay Area of San Francisco

• Authorized to work in the territory

• No visa sponsorship

Responsibilities:

• Drive new business with enterprise accounts

• Run full-cycle sales: prospect, qualify, guide, close

• Lead consultative conversations with senior buyers

• Close six-figure deals while maintaining integrity

• Partner with resellers, Finance, Marketing, and Product

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 5+ years of experience in Data Engineering or Backend Engineering

• Proficient in at least one general purpose programming language (e.g., Python, Java, Scala) and SQL

• Proficiency with at least one modern cloud provider (GCP, AWS, Azure)

• Experience building systems for structured and unstructured data types

• Knowledge of Terraform, Kubernetes, and containerization

Other Requirements:

• Familiarity with deploying ML models at scale a bonus

Responsibilities:

• Build and maintain scalable data services, pipelines and storage solutions

• Build and manage OLAP databases, ELTs and general data tooling

• Optimize data infrastructure for throughput, latency and reliability

• Investigate and correct issues identified through data operations monitors

• Design data integrations and data quality framework

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 3 - 6+ years as a manager in rapidly growing organizations

• At least 1 year as a manager of managers

• Track record of leading performance engineering (load test and chaos engineering)

• Experience running production workloads in more than one cloud provider

• Experience managing workloads across containerized solutions and Kubernetes

Responsibilities:

• Scope, resource, and execute a company-wide reliability and engineering velocity roadmap

• Work at the level of small tiger teams to unblock and drive execution

• Recruit top ICs and managers to scale the team

• Mentor senior engineering staff and develop their careers

• Establish and maintain a hivemind, de-siloed culture across pods

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 8+ years of software engineering experience

• 3+ years of infrastructure-as-code experience

• Experience building on and scaling Kubernetes

• Experience creating and maintaining CI/CD pipelines (Terragrunt, Atlas, ArgoCD)

• Experience with monitoring and observability tooling (Grafana, Datadog)

Other Requirements:

• Must be willing to travel up to 10%

Responsibilities:

• Design, build, and scale cloud infrastructure (networking, IAM, K8s)

• Design and implement build pipelines and release management tooling

• Design, implement, and scale cloud security practices

• Improve observability, runbooks, and incident response muscle

• Bridge the gap between local development and production environments

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 8+ years of software engineering experience focused on distributed systems

• At least 2 years experience as a back-end engineer focused on performance

• Experience reducing latency through observability and profiling tools

• Experience building on and scaling Kubernetes

• Experience building software with backend languages (Python, GoLang, Node, Rust)

Other Requirements:

• Must be willing to travel up to 10%

Responsibilities:

• Identify and resolve performance and latency bottlenecks via load testing

• Drive software changes to rehome applications onto scalable infrastructure

• Identify and implement performance tuning parameters

• Build developer tools and software modules to help engineers build faster

• Work with application teams to establish and adopt SLOs and error budgets

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 5+ years as a software engineer

• 2+ years managing software engineering teams

• Experience in AI Infrastructure domain (LLM workflows, retrieval)

• Skilled in building secure systems in major cloud platforms (GCP preferred)

• Familiar with containers, databases, and modern frontend frameworks

Responsibilities:

• Recruit and mentor engineers with backgrounds in LLM-driven workflows

• Provide regular feedback and create career growth opportunities

• Work with ML/AI Research, Inference, and Data teams to support projects

• Guide architectural discussions and advocate for technology projects

• Set high standards for software quality and regulatory compliance

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 10+ years of experience building high-performance distributed systems

• 5+ years of management experience

• 3+ years managing AI/ML-focused engineering teams

• Expertise with Kubernetes, containers, and model training/serving

• Knowledge of GPU-based capacity planning and LLM applications

Other Requirements:

• Bonus: Has owned an Evaluation Platform for AI/ML models

• Bonus: Has owned data engineering or core infrastructure

Responsibilities:

• Recruit, retain, and mentor engineers and engineering managers

• Own the staffing and execution of model serving and training compute

• Guide architectural discussions and set strategic AI/ML infra direction

• Own the design, build, and operation of MLOps pipelines

• Manage compute and vendor allocations (e.g. GPU allocation)

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• Experience building and deploying ML models in production

• Deep understanding of container orchestration and distributed systems

• Expertise in Kubernetes administration (CRDs, operators)

• Experience developing APIs and managing batch/real-time workloads

• Excellent communication skills for research/product engineering interface

Other Requirements:

• Bonus: Expertise with NVIDIA Triton Server, VLLM, TRT-LLM

• Bonus: Familiarity with GPU cluster management and CUDA optimization

Responsibilities:

• Design and maintain scalable Kubernetes clusters for inference/training

• Develop and optimize ML model serving and training infrastructure

• Collaborate with ML teams to scale backend infrastructure

• Optimize compute-heavy workflows and enhance GPU utilization

• Build a robust model API orchestration system

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• Experience building agent applications with tool-calling

• Fluency with LLM APIs and prompting strategies (LangChain, LlamaIndex)

• Experience with retrieval systems (semantic retrieval, vector DBs)

• Strong coding skills in Python, Java, or Go

• Working knowledge of containers and Kubernetes concepts

Other Requirements:

• Bonus: Prior work on task routing, planning, memory graphs, or vector search

Responsibilities:

• Design and build GenAI systems using retrieval and agentic reasoning

• Implement a highly reliable and scalable agent runtime

• Build secure, sandboxed execution for agent actions and code

• Ship unified interfaces for multiple model sizes and providers

• Develop an evaluation platform for assessment and safety checks