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Staff FullStack Engineer
Optimize AI infrastructure costs and performance across any cloud or hardware with automated GPU orchestration, sub-60-second job launches, and 90% utilization.
Experience Requirements:
Strong hands-on development experience with React + Python
Experience with fastapi, pydantic, sqlmodel, and async backend development
Deep understanding of vite, bun, and frontend build/performance optimization
Ability to manage frontend async workflows using react-query
Other Requirements:
Strong API design skills
Experience building modular services and UI-driven systems
Ability to operate independently in a high-speed environment
Responsibilities:
Build full-stack features across Squirrel, Marketplace, and Licensing
Develop frontend modules using React and modern tooling
Implement backend logic, APIs, and data models using Python
Design clean API contracts between frontend and backend components
Build robust data flows across multi-architecture compute workflows
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Staff Linux & DevOps SSE
Optimize AI infrastructure costs and performance across any cloud or hardware with automated GPU orchestration, sub-60-second job launches, and 90% utilization.
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
Experience Requirements:
10+ years in Linux systems engineering
Proven ownership of bare-metal server bring-up and large-scale fleet provisioning
Extensive experience enabling multi-GPU training over RoCEv2 or InfiniBand
Strong track record building reproducible OS images and automation pipelines
Other Requirements:
Deep kernel and userspace debugging skills
Proficiency in UEFI/BIOS, GRUB, SecureBoot, and PXE
Knowledge of NVIDIA CUDA, NCCL, and GPUDirect RDMA stacks
High ownership mindset
Responsibilities:
Architect and lead end-to-end bring-up of AI/HPC server platforms
Define standards for UEFI/BIOS, GRUB, and PXE/iPXE provisioning
Architect, build, and harden custom Linux images optimized for AI
Lead kernel tuning and performance-sensitive workload optimization
Lead validation of PCIe topologies and advanced features
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Staff Software Architect
Optimize AI infrastructure costs and performance across any cloud or hardware with automated GPU orchestration, sub-60-second job launches, and 90% utilization.
Benefits:
A competitive salary and benefits package
Opportunity to collaborate with leading experts in AI
Environment that values innovation and collaboration
Support for personal and professional development
Pivotal role in the AI revolution
Experience Requirements:
8+ years backend engineering
3+ years API design/architecture ownership
Hands-on coding in Go/Java/Python
Track record of designing APIs used by multiple teams or customers
Other Requirements:
Strong in RESTful design
Knowledge of GraphQL/gRPC is a plus
Deep knowledge of API security (OAuth2, JWT)
Experience with API gateways and CI/CD
Responsibilities:
Own the end-to-end API strategy: design, standards, governance, versioning
Define and maintain stable, customer-facing APIs
Build internal APIs connecting modules for parallel development
Establish best practices including API style guides and OpenAPI specs
Mentor engineers and review designs
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Frontend Developer
Streamline R&D and intellectual property workflows with an AI-driven platform that automates prior-art searches, patent drafting, and innovation monetization.
Benefits:
Opportunity to work on groundbreaking AI and NLP technologies
Collaborative, inclusive, and high-growth work culture
Professional growth and learning opportunities
Competitive compensation and benefits
Education Requirements:
Bachelor’s/Master’s degree in Computer Science, AI, or a related technical field
Experience Requirements:
1+ years of hands-on experience building scalable web applications using JavaScript or TypeScript
Strong understanding of advanced JavaScript (ES6+), OOP concepts, and debugging best practices
Experience with front-end frameworks such as Vue.js, React, or Angular
Good understanding of HTML5, CSS3, and preprocessors like Sass or Less
Other Requirements:
Exposure to design systems and component libraries
Knowledge of front-end performance optimization techniques
Familiarity with Agile/Scrum development methodologies
Responsibilities:
Develop and maintain user-facing web applications using modern front-end technologies
Build modular, reusable, and maintainable components and libraries
Optimize applications for maximum speed, performance, and scalability
Implement automated testing as part of development and maintenance workflows
Stay up to date with the latest developments in JavaScript, front-end frameworks, and web technologies
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AI Evaluation Engineer
Rearchitect enterprise systems for abundant intelligence through deep AI integration while maintaining human agency and control within mission-critical industries.
Other Requirements:
Commuting to the New York or San Francisco office three days per week
Authorized to work in the U.S.
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AI Data Engineer
Scale omnichannel sales and competitive intelligence for enterprises using autonomous AI agent teams powered by an ecosystem of more than 25 models.
Benefits:
Competitive Base Pay
Equity Package
Performance Bonus
Professional development budget
Remote-first culture
Experience Requirements:
3-5 years experience level
3+ years experience in data engineering, data architecture, or related fields
Expert-level Python programming
Hands-on experience with AWS and GCP
Production experience with big data technologies
Other Requirements:
Fully Bilingual Role (English/Spanish)
Advanced querying skills
Experience with SQL and NoSQL systems
API development and integration experience
Version control proficiency
Responsibilities:
Own the complete data flow: interactions, AI processing, CRM, Competitive Insights
Design conversation capture systems handling voice, SMS, WhatsApp at enterprise scale
Build multi-tenant analytics
Design and maintain robust data pipelines to support AI model training
Collaborate with engineering team on system architecture
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Full Stack AI Engineer
Scale omnichannel sales and competitive intelligence for enterprises using autonomous AI agent teams powered by an ecosystem of more than 25 models.
Benefits:
Competitive Base Pay
Equity Package
Performance Bonus
Professional development budget
Remote-first culture
Education Requirements:
Bachelor's degree in Computer Science, Engineering, or related field preferred
Experience Requirements:
3-5 years experience level
3+ years experience in data engineering, data architecture, or related fields
Expert-level Python programming
Hands-on experience with cloud platforms (AWS/GCP preferred)
API development and integration experience
Other Requirements:
Fully Bilingual Role (English/Spanish)
Twilio Expertise is essential
Proficiency in Python and/or JavaScript
Knowledge of Docker and Kubernetes
Understanding of AI Agents and prompt engineering
Responsibilities:
Build and optimize front and back-end systems
Integrate and optimize Twilio's suite of APIs
Implement AWS/GCP infrastructure solutions
Fine-tune open-source models
Work with AI-forward databases and implement RAG integrations
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Full Stack Senior Software Engineer
Transform fragmented data pipelines into governed, productized operational apps to streamline business logic like fraud detection and pricing for enterprise teams.
Education Requirements:
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
Experience Requirements:
4–7 years of professional full-stack development experience.
Proficiency in JavaScript (ES6+), HTML5, CSS3, and modern frontend frameworks such as React, Angular, or Vue.js.
Strong backend expertise in Java, Spring Boot, or equivalent frameworks for building RESTful services.
Hands-on experience with PostgreSQL (or other relational databases) — including schema design and performance tuning.
Solid grasp of data structures, algorithms, and system design principles.
Other Requirements:
Experience working in agile development environments with version control (Git).
Experience developing and scaling SaaS or cloud-native applications (AWS, GCP, or Azure).
Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and DevOps workflows.
Exposure to data engineering, analytics, or AI-driven products.
Prior experience in startup or fast-paced product teams with end-to-end feature ownership.
Responsibilities:
Design and develop scalable, maintainable, and high-performance web applications across the stack.
Participate and contribute to Architecture and Design discussions to make key technical decisions.
Build and optimize RESTful APIs, microservices, and database models supporting complex data workflows.
Design efficient PostgreSQL schemas, ensuring data integrity, scalability, and performance.
Mentor and guide junior developers, conduct code reviews, and champion engineering best practices.
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Full-Stack Software Developer
Transform fragmented data pipelines into governed, productized operational apps to streamline business logic like fraud detection and pricing for enterprise teams.
Experience Requirements:
3+ years of professional software development experience.
Strong proficiency in React.js and modern JavaScript/TypeScript.
Experience with backend technologies (Java, Node.js, Python, or similar).
Experience with Data Engineering and AI tools
Solid understanding of REST APIs and/or GraphQL.
Other Requirements:
Familiarity with cloud platforms (AWS, GCP, or Azure).
Knowledge of databases (SQL and/or NoSQL).
Strong problem-solving and debugging skills.
Excellent communication and collaboration abilities.
Experience building or scaling SaaS products.
Responsibilities:
Develop and maintain full-stack applications with a focus on frontend React development.
Collaborate with product managers and designers to create user-friendly interfaces for complex data applications.
Design, build, and scale backend services and APIs that support a SaaS environment.
Ensure high performance, security, and reliability of the application.
Contribute to architectural decisions and participate in code reviews.
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iOS Engineer
Secure shared workstations and eliminate clinical friction with passive behavioral biometrics for continuous, hardware-free identity verification in hospitals.
Benefits:
Fully remote
Meaningful equity
Flexible PTO
Monthly project days
Online learning resources
Experience Requirements:
4+ years of iOS development experience with apps in production
Experience with native iOS apps using Objective-C and Swift
Deep knowledge of iOS architecture, background processing, and push notifications
Strong understanding of iOS security features and limitations
Other Requirements:
Excellent problem-solving skills
Attention to performance details
Experience with security products or authentication systems (OAuth/OIDC)
Experience with Core Motion, Core Location, Core Bluetooth, or HealthKit
Responsibilities:
Build secure data collection systems for sensors and user interactions
Create APIs and frameworks for authentication system integration
Optimize performance to ensure minimal battery impact
Build credential management features using iOS Wallet and NFC
Navigate iOS ecosystem challenges including permissions and App Store requirements
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Machine Learning Engineer (Remote)
Secure shared workstations and eliminate clinical friction with passive behavioral biometrics for continuous, hardware-free identity verification in hospitals.
Benefits:
Flexible working
Project Day once a month
Equity
Open vacation policy
Online learning resources
Experience Requirements:
Strong software engineering skills (SOLID principles)
Hands-on experience deploying ML models to production
Experience with ML libraries like scikit-learn, TensorFlow, or PyTorch
Basic understanding of ML fundamentals (algorithms, math/stats)
Other Requirements:
Familiarity with AWS tools and infrastructure
Experience with structured and time-series data
Previous experience with behavioral biometrics or security products
Previous experience with ONNX
Responsibilities:
Build and maintain production ML pipeline (ETL, preprocessing, feature extraction)
Develop streamlined ML workflows to support production systems
Write clean, maintainable Python code using TDD
Collaborate with founders and researchers to bring ML ideas to life
Optimize infrastructure to handle growth and scale effectively
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Senior Compiler Engineer
Boost speed and energy efficiency by 100x for embedded chips using in-memory computing technology that eliminates data bottlenecks in AI-driven applications.
Experience Requirements:
5+ years building low-level software or compilers
Strong C++ and Python
Hands-on experience with embedded systems and compiler design
Solid systems understanding: memory and concurrency fundamentals
Evidence of performance work (profiling, tracing, optimization) on embedded or accelerator targets
Other Requirements:
Comfortable reading hardware datasheets and working at the HW/SW boundary
Clear writing, good documentation habits, and a collaborative approach
Responsibilities:
Design and implement embedded software libraries and low-level runtime
Develop and maintain the compiler path (MLIR/LLVM passes, code generation, kernels)
Develop and refine a benchmarking and profiling framework
Strengthen build, test, and CI so releases are predictable
Collaborate with hardware, architecture, and customer-facing teams
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Lead Software Engineer
Boost speed and energy efficiency by 100x for embedded chips using in-memory computing technology that eliminates data bottlenecks in AI-driven applications.
Experience Requirements:
7+ years building low-level software or compilers
Strong C++ and Python
A track record of shipping complete projects end-to-end
Experience with roadmaps and reviews
Hands-on with MLIR/LLVM passes, code generation, graph compilers, or high-performance DSP libraries
Other Requirements:
Ability to lead independently and produce complete development plans (Jira, MS Project)
Ability to deal with hardware-specific language and define clean APIs
Responsibilities:
Own software development from a management perspective and distribute workload
Ensure correct exchange of information between hardware and software teams
Deliver clean programming models, drivers, kernels, and examples
Define compiler development priorities and plan functionalities
Grow the team: hire, mentor, and set ownership boundaries
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Senior Engineer – Backend (Physical Design & Timing)
Boost speed and energy efficiency by 100x for embedded chips using in-memory computing technology that eliminates data bottlenecks in AI-driven applications.
Experience Requirements:
5+ years in ASIC physical design with a strong emphasis on timing closure and sign-off
Familiarity with STA tools and flows
Hands-on experience working with synthesis and place-and-route
Scripting ability to automate timing analysis and reporting
Other Requirements:
A collaborative approach with front-end, backend, and verification teams
Responsibilities:
Build, refine, and maintain timing constraints for blocks and top-level designs
Run STA across all relevant corners and modes to close setup and hold
Guide clock-tree strategy and debugging (skew, jitter, latency)
Lead timing and functional ECOs and track impacts
Automate timing checks, report generation, and regressions using scripting
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Technical Lead – Physical Design (RTL to GDSII)
Boost speed and energy efficiency by 100x for embedded chips using in-memory computing technology that eliminates data bottlenecks in AI-driven applications.
Experience Requirements:
10+ years in ASIC physical design
2+ successful tapeouts as block/subsystem owner from synthesis to sign-off
Deep expertise in one complete tool chain (Synopsys or Cadence)
Strong MCMM STA and timing-closure experience
Experience with grid planning, IR/EM analysis, and fixes
Other Requirements:
Scripting for automation (Tcl, Python) and version control
Ability to lead activities independently and assume responsibility for major decisions
Responsibilities:
Define and maintain a modern RTL-to-GDS flow and methodology
Run synthesis, floorplan, partitioning, P&R, CTS, and routing
Create predictable PPA targets and track metrics
Integrate custom macros, SRAMs, and I/O
Recruit and performance-develop a 5+ engineer group
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Senior Digital Design and Verification Engineer
Boost speed and energy efficiency by 100x for embedded chips using in-memory computing technology that eliminates data bottlenecks in AI-driven applications.
Experience Requirements:
5+ years in digital design or verification for ASIC
Strong SystemVerilog RTL and basic understanding of UVM
Hands-on experience with either RISC-V or ARM architectures
Knowledge of synthesis basics and RTL impact on PPA
Other Requirements:
Clear technical communication and habit of turning designs into reusable components
Responsibilities:
Implement RTL: control blocks, AXI/AHB/APB bridges, DMA, and datapaths
Optimize for power with a power-driven mindset
Develop UVM testbenches (agents, sequencers, predictors, scoreboards)
Run gate-level sims (GLS) with SDF for critical paths
Write IP/user guides, register maps, and programming models
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Senior Layout Engineer
Boost speed and energy efficiency by 100x for embedded chips using in-memory computing technology that eliminates data bottlenecks in AI-driven applications.
Experience Requirements:
5+ years in custom layout for analog/SRAM/custom-digital IP
Demonstrated quality on sub-28 nm nodes (FinFET/FDSOI)
Solid analog layout techniques: common-centroid, interdigitation, shielding
Working grasp of timing/IR/EM implications of layout
Other Requirements:
Clear communication and rigorous documentation skills
Responsibilities:
Plan & implement full-custom layouts for standard cells and SRAM
Provide feedback to design team to converge on power-aware layouts
Align with schematic owners and coordinate with MBIST/scan wrappers
Automate tasks and maintain checklists (Tcl, Python)
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Standard Custom Design Engineer
Boost speed and energy efficiency by 100x for embedded chips using in-memory computing technology that eliminates data bottlenecks in AI-driven applications.
Education Requirements:
MS +4 years or PhD
Experience Requirements:
Hands-on sub-28 nm CMOS experience
Proven design ownership in datapath, memory/SRAM, or data-converters
Other Requirements:
Quality-oriented approach
Comfort working cross-functionally with digital/custom/layout
Responsibilities:
Design & verify mixed-signal circuits and subsystems for ASICs
Develop AI-related building blocks for in-memory computing
Partner across disciplines on interfaces and timing/power budgets
Contribute to IP-quality specifications and reusable collateral
Improve flows through scripting/automation (Python/Tcl)
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Senior Custom Design Engineer
Boost speed and energy efficiency by 100x for embedded chips using in-memory computing technology that eliminates data bottlenecks in AI-driven applications.
Education Requirements:
MS or PhD in Electrical or Computer Engineering
Experience Requirements:
5+ years in custom digital, analog, or SRAM design
Proven ownership through complete design cycles on sub-blocks
Strong understanding of circuit design on FinFET nodes
Other Requirements:
Ability to frame and communicate clear interfaces across teams
Responsibilities:
Design and verify embedded SRAM or custom digital blocks
Optimize for PPA on advanced nodes including variation closure
Define clean digital boundaries and timing budgets
Plan and run silicon correlation and analysis of ATE data
Partner with layout on floorplan and routing topology
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Lead Custom Design Engineer
Boost speed and energy efficiency by 100x for embedded chips using in-memory computing technology that eliminates data bottlenecks in AI-driven applications.
Education Requirements:
MS or PhD in Electrical/Computer Engineering (or similar)
Experience Requirements:
7+ years in custom digital, memory, or analog design
Track record of end-to-end ownership of production-grade functional blocks
Experience leading a small team (mentoring, reviews, planning)
Other Requirements:
Deep understanding of high-performance circuit design on FinFET
Quality-first mindset
Responsibilities:
Own the product roadmap and define specs/PPA targets
Design & verify memory or datapath subsystems
Engineer for advanced nodes (FinFET and FDSOI)
Plan silicon correlation and analyze ATE data
Coach designers and grow automation (Python/Tcl)
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