AI Jobs

Benefits:

• Offers Equity

Education Requirements:

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, or related field

Experience Requirements:

• 4+ years of hands-on ML compiler or systems engineering experience

• Demonstrated experience building and owning an end-to-end compiler stack

• Experience working with machine learning models, neural network graphs, and graph optimizations

• Comfortable collaborating with hardware teams to map novel architectural primitives

• Strong understanding of compiler performance trade-offs, profiling, and bottleneck analysis

Responsibilities:

• Work across the full stack with software, systems, and hardware teams

• Contribute to shaping the long-term compiler architecture and tooling strategy

• Design and implement parts of the compiler stack targeting our novel AI accelerator

• Build and evolve MLIR/LLVM based infrastructure

• Collaborate closely with hardware architects, microarchitects, and research teams

Benefits:

• Offers Equity

Experience Requirements:

• 5-8 years of frontend software engineering experience

• Strong frontend coding skills in TypeScript and React

• Experience crafting complex user experiences with a strong intuition for design

• Experience working with LLMs or building AI-powered applications

• Proven ability to learn continuously and work independently

Responsibilities:

• Building complete, integrated prototypes that bring AI capabilities to life

• Architecting and developing interactive workflow UIs

• Collaborating closely with product designers to ensure interface quality

• Owning APIs and orchestration patterns connecting frontends with ML services

• Partnering with ML researchers and users to translate requirements into features

Benefits:

• Offers Equity

Experience Requirements:

• 5-8 years of software engineering experience

• Experience building complex systems with a focus on reliability and performance

• Experience working with LLMs or building AI-powered applications

• Proven ability to learn continuously and work independently

• Skill and comfort working in a constantly evolving environment

Responsibilities:

• Building complete, integrated prototypes that bring AI capabilities to life

• Architecting and developing backend systems that support complex verification workflows

• Owning API contracts between frontend and backend systems

• Driving engineering roadmaps in collaboration with researchers and product managers

Experience Requirements:

• 5+ years of prior experience in DevOps, SRE, Systems Engineer, or similar role

• Practical experience designing and building cloud-based infrastructure on Linux

• Proficiency with AWS and Kubernetes

• Practical experience with infrastructure as code tooling (e.g. Terraform, OpenTofu)

• Experience with implementing CI/CD workflows

Other Requirements:

• Professional fluency in Korean and English

Responsibilities:

• Designing, building, and operating infrastructure for Normal’s products

• Collaborating with product and AI teams to define DevOps standards

• Deploying and managing Normal’s product stack in client environments

• Designing and implementing CI/CD pipelines for software and data workloads

• Implement logging, monitoring, and alerting best practices

Benefits:

• Offers Equity

Experience Requirements:

• Previous experience delivering production AI systems involving language models

• Solid software engineering skills with experience in distributed systems

• Proficiency in Python and modern ML frameworks (PyTorch, Hugging Face)

• Hands-on experience with prompt engineering, fine-tuning, and deploying LLMs

• Ability to wrangle, clean, and preprocess large-scale datasets

Responsibilities:

• Lead end-to-end AI development from initial concept through production deployment

• Design and implement LLM-powered solutions for technical documents

• Handle multi-modal complexity and explore multi-agent and RL approaches

• Design strategies to manage latency, output variance, and error handling

• Collaborate with product and engineering teams to embed AI capabilities

Benefits:

• Offers Equity

Education Requirements:

• PhD in CS/AI/ML (or equivalent research experience)

Experience Requirements:

• Strong Python and ML framework experience (PyTorch preferred)

• Demonstrated ability to turn research into working systems

• Experience designing eval harnesses and success metrics for agentic tasks

• Comfortable with data acquisition and curation from documents/logs

• Reproducibility mindset (tests, seeds, configs, logging)

Responsibilities:

• Design and implement multi-agent and RL approaches for code generation

• Build research prototypes that integrate with nectar

• Create evaluation suites including task specs and cost/latency dashboards

• Acquire and curate datasets from PDFs/logs/tables

• Analyze experiments with disciplined ablations and document results

Benefits:

• Offers Equity

Experience Requirements:

• 5+ years of experience in Digital Verification at a major semiconductor or EDA tool company

• Advanced proficiency in SystemVerilog and UVM methodology

• Proficiency in EDA verification tools (vManager, Xcelium, Jasper)

• Proficiency and application of Python or Perl scripting

• Proven expertise in end-to-end design verification flow

Responsibilities:

• Review AI-generated collateral to help shape product strategy

• Provide design verification for internal hardware projects

• Set up and evaluate EDA tools for internal usability

• Create testbench environments, assertions, and coverage from design documents

• Curate and annotate datasets for chip specification association

Benefits:

• Offers Equity

Education Requirements:

• BS, MS, or PhD in Electrical / Electronic Engineering, Computer Engineering, or Computer Science

Experience Requirements:

• Experience in digital logic design for AI/ML accelerators or compute architectures

• Deep understanding of modern AI algorithms and architectures (transformers, etc.)

• Knowledge of existing AI accelerator architectures (TPU, Cerebras, etc.)

• Proficiency in SystemVerilog for RTL design and verification

• Ability to translate algorithmic requirements into efficient hardware microarchitecture

Responsibilities:

• Define microarchitecture for novel AI accelerator blocks

• Write high-quality RTL in SystemVerilog for core logic and datapaths

• Analyze existing AI accelerator architectures and apply lessons learned

• Work with DV team on digital verification for assigned designs

• Work with physical design engineers to ensure RTL is performant

Benefits:

• Offers Equity

Education Requirements:

• Technical background (CS/ EE background or similar technical field)

Experience Requirements:

• Experience in enterprise B2B product at a high-growth technology company

• Management consulting experience at a top-tier consulting firm

• Exceptional written and verbal communication skills

• Executive presence and strong business judgment

• Entrepreneurial sense of ownership for overall team and product success

Responsibilities:

• Be the product leader for our most critical customers

• Act as a trusted thought partner for senior customer leadership

• Lead opportunity discovery and identify where Normal can shift outcomes

• Distill customer insight into structured product direction and prioritization

• Scale successful engagements into repeatable patterns and platform capabilities

Benefits:

• Offers Equity

Experience Requirements:

• 5+ years of experience in communications, content strategy, or technical writing

• Outstanding writing and editing skills

• Ability to rapidly learn new domains like semiconductor hardware and thermodynamic computing

• Versatility to adapt writing style for different formats and audiences

• Meticulous eye for detail and commitment to accuracy

Other Requirements:

• Willingness to travel up to 25% of the time

Responsibilities:

• Create high-quality external content including blog posts and whitepapers

• Produce deep-dive technical narratives collaborating with engineers

• Prepare keynote speeches and slide decks for high-profile events

• Coordinate content for integrated marketing campaigns

• Review and edit written material to maintain unified voice and brand style

Benefits:

• Generous equity grant

• 401k matching

• Relocation bonus

• Health, vision, dental insurance

Experience Requirements:

• Previous founding or startup experience

• Fluency in Typescript, React, and Python

Other Requirements:

• User-focused design intuition and design taste

• Attention to detail and eagerness to learn

• Aptitude and clarity of thought

• Creativity, excellence in engineering, and code velocity

Responsibilities:

• Prototyping and designing new features of our voice interface

• Building infrastructure to handle <500ms LLM inference

• Scaling the personalization of our speech models and LLMs

Benefits:

• Generous equity grant

• 401k matching

• Relocation bonus

• Health, vision, dental insurance

Experience Requirements:

• Previous founding or startup experience

• Fluency in Swift, shipped multiple iOS apps to large userbases

• Built full-stack personal projects or contributed to open source in Swift

• Strong programming practices and high-throughput of code

Other Requirements:

• Incredible attention to detail on design and animations

• Care towards code quality and UX

• Outstanding team player and communicator

Responsibilities:

• Designing Wispr's iOS voice assistant

• Improving the core Flow voice dictation experience

• Prototyping and shipping our new voice interface features

Benefits:

• Generous equity grant

• 401k matching

• Relocation bonus

• Health, vision, dental insurance

Experience Requirements:

• Previous founding or startup experience

• Experience optimizing ML inference or engineering systems for research teams

• Fluency in Python and LLM development

Other Requirements:

• Attention to detail and eagerness to learn

• Aptitude and clarity of thought

• Creativity, excellence in engineering, and code velocity

Responsibilities:

• Prototyping and designing new features of our voice interface

• Building infrastructure to handle <500ms LLM inference

• Scaling the personalization of our speech models and LLMs with fine-tuning and RL

Benefits:

• Generous equity grant

• 401k matching

• Relocation bonus

• Health, vision, dental insurance

Education Requirements:

• PhD in machine learning or related field (neuroscience, EE, etc)

Experience Requirements:

• Strong publication track record at top conferences (ICML, NeurIPS, ICLR, ICASSP)

• Fluency in Python and LLM development

Other Requirements:

• Attention to detail and eagerness to learn

• Aptitude and clarity of thought

• Creativity in R&D, excellence in engineering, and code velocity

Responsibilities:

• ML personalization

• Training speech models

• Using fine-tuning and RL techniques to improve LLMs

• Prototyping and designing new features of our voice interface

• Building infrastructure to handle <500ms LLM inference

Benefits:

• Generous equity grant

• 401k matching

• Relocation bonus

• Health, vision, dental insurance

Experience Requirements:

• Experience building and scaling teams from 20 to 100 people

• Fluency in Typescript, React, and Python

Other Requirements:

• Cultural alignment with Wispr: high agency, open communicator, detail oriented, and user obsessed

• Can build a culture that’s thoughtful, aggressive, innovative

• Able to increase the velocity and predictable delivery of an engineering team

• Product minded for a prosumer interface

• Aptitude and clarity of thought

Responsibilities:

• Direct the engineering team

• Scale the product engineering, mobile, backend, and ML engineering teams from 10 to 100 people

• Prototype and design new features of our voice interface

• Build infrastructure for <500ms LLM inference

• Scale the personalization of speech models and LLMs

Benefits:

• Generous equity grant

• 401k matching

• Relocation bonus

• Health, vision, dental insurance

Experience Requirements:

• 1–2 years in customer-facing roles (retail, hospitality, call center, support, etc.)

• Experience with ticketing systems (Zendesk, Intercom, Freshdesk, Pylon, etc.)

Other Requirements:

• Adrenaline-fueled work ethic

• Resilience to repetitive tasks

• Efficiency-obsessed

• Clear communicator

• Curious and coachable

Responsibilities:

• Tackle incoming support tickets at volume with speed and accuracy

• Escalate issues with crisp documentation

• Keep the queue flowing without bottlenecks

• Constantly refine personal efficiency and workflows

• Surface recurring problems and inefficiencies

Benefits:

• Generous equity grant

• 401k matching

• Relocation bonus

• Health, vision, dental insurance

Experience Requirements:

• Previous founding or startup experience

• Fluency in Kotlin, shipped multiple Android apps to large userbases

• Built personal projects or contributed to open source in Kotlin

• Strong programming practices and high-throughput of code

Other Requirements:

• Incredible attention to detail on design and animations

• Care towards code quality and UX

• Outstanding team player and communicator

Responsibilities:

• Building Wispr's Android voice interface from scratch

• Improving the core Flow voice dictation experience

• Prototyping and shipping our new voice interface features

• Designing floating overlay UI/UX and integrating with accessibility APIs

Benefits:

• Generous equity grant

• 401k matching

• Relocation bonus

• Health, vision, dental insurance

Experience Requirements:

• 2–4 years in technical support, success, or account management (SaaS preferred)

• Comfortable using technical tools (Linear, Pylon, Notion, Slack)

Other Requirements:

• Clear communicator

• Process-driven and extremely organized

• Analytical

• Thrives in fast-moving, startup environments

Responsibilities:

• Own onboarding and pilot success from kick-off through conversion

• Manage a high number of customer accounts in your book of business

• Translate customer feedback into actionable insights for product and engineering

• Track adoption and engagement metrics to surface early wins or risks

• Deliver white-glove support alongside the Support team

Benefits:

• Medical insurance

• +3 benefits

Benefits:

• 401(k)

• +4 benefits