AI Jobs

Benefits:

• Diversity and inclusion values

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or Engineering

Experience Requirements:

• 3+ years experience

• 4+ years proven data analysis experience

• Knowledge of data warehousing

• SQL and Python proficiency

• ELT/ETL tool experience

Other Requirements:

• US citizenship/visa not required

• BigQuery skills

• SQL skills

Responsibilities:

• Maintain scalable data pipelines

• Collaborate with platforms teams

• Implement data governance

• Manage data warehouse

• Develop dashboards

Benefits:

• Competitive salary

• Meaningful equity

• Early-stage ownership

Education Requirements:

• Any (new grads ok)

Experience Requirements:

• Strong full-stack experience

• Shipping production software

• Comfort working close to the OS

Other Requirements:

• US citizen/visa only

• Next.js skills

• Node.js skills

• Machine Learning knowledge

Responsibilities:

• Build core product surfaces

• Ship high-signal UIs

• Build backend services

• Develop native desktop apps

• Manage performance and reliability

Experience Requirements:

• 6+ years of experience in IT administration or IT operations

• Prior experience as an IT Manager or Senior IT Administrator

• Experience supporting 50–300 employee environments

Other Requirements:

• Google Workspace

• SaaS administration and access management

• Endpoint management / MDM tools

• Office networking and on-site support

Responsibilities:

• Own day-to-day IT operations for the Bangalore office

• Handle employee onboarding and offboarding

• Administer internal SaaS tools

• Own identity and access management

• Act as the primary on-site IT support and escalation point

Education Requirements:

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

Experience Requirements:

• Proven experience as a DevOps or SRE Engineer

• Strong proficiency in scripting languages (e.g. Python, Bash)

• Experience with cloud platforms (AWS, Azure, GCP)

• Hands-on experience with infrastructure as code (IaC) tools like Terraform

Other Requirements:

• Familiarity with cloud-native technologies (Docker, Kubernetes)

• Experience managing multi-architecture deployments

• Entrepreneurial & start-up mindset

Responsibilities:

• Design, implement, and maintain CI/CD pipelines

• Develop and manage infrastructure as code (IaC) using Terraform

• Implement and manage containerization and orchestration tools

• Monitor and optimize system performance

• Collaborate with security teams to ensure infrastructure meets security best practices

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 of experience in systems/software engineering

• Experience in delivering PaaS services

• Proven experience optimizing and scaling deep learning runtimes

• Strong programming skills in Python and C++

• Start up previous experience

Other Requirements:

• Familiarity with distributed training frameworks

• Experience working with multi-GPU, multi-node, or cloud-native AI workloads

• Solid understanding of containerized workloads

Responsibilities:

• Own the core runtime architecture supporting AI training and inference at scale

• Design resilient and elastic runtime features within a custom PyTorch stack

• Profile and enhance low-level system performance

• Design and maintain libraries and services that support model lifecycle

• Guide technical discussions and mentor junior engineers

Experience Requirements:

• 8–12+ years of backend or infrastructure engineering experience

• Expert-level proficiency in Golang

• Strong experience building production-grade distributed systems

• Proven track record working on infrastructure platforms, PaaS, or deep-tech systems

Other Requirements:

• Deep understanding of cloud-native architectures

• Strong experience with Kubernetes, Docker, and cluster orchestration systems

• Experience with scalable distributed databases

• Startup-minded builder comfortable with ambiguity

Responsibilities:

• Architect and develop high-performance backend services in Golang

• Design backend systems for distributed AI workloads and orchestration

• Build internal platform APIs for model deployment and job scheduling

• Design and scale microservices and event-driven architectures

• Lead architecture reviews and set backend engineering standards

Education Requirements:

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

Experience Requirements:

• 8+ years of experience in DevOps, SRE, or Infrastructure Engineering

• At least 2+ years in a Staff/Lead-level capacity

• Proven experience designing and operating large-scale cloud-native distributed systems

• Deep expertise in Kubernetes, Docker, and container orchestration

Other Requirements:

• Strong hands-on experience with Terraform

• Advanced knowledge of CI/CD systems

• Strong proficiency in scripting and programming (Python, Go, Bash)

• Extensive experience with cloud platforms (AWS, GCP, Azure)

Responsibilities:

• Architect and evolve the infrastructure backbone for PaaS and AI runtime platforms

• Design highly available, fault-tolerant, and scalable systems

• Establish and own SRE principles including SLIs, SLOs, and error budgets

• Lead the design and implementation of Infrastructure as Code

• Design and implement end-to-end observability for distributed systems

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

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

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

Experience Requirements:

• 4+ years experience in office administration, HR operations, or a combined role

• Prior experience supporting a tech or startup environment

• Strong knowledge of India HR operations, payroll coordination, and statutory compliance

Other Requirements:

• Highly organized and detail-oriented

• Comfortable handling confidential employee information

• Excellent communication and interpersonal skills

• Enjoys being on-site

Responsibilities:

• Manage day-to-day operations of the Bangalore office

• Coordinate office vendors and manage office budgets

• Support end-to-end employee lifecycle for the India team

• Ensure compliance with India labor laws and company policies

• Work with global HR teams to implement policies locally

Education Requirements:

• Bachelors with relevant 8+ years plus experience in product management or related technical roles

Experience Requirements:

• 5+ years of experience launching AI/tech products from concept to market

• 5+ years of experience working cross-functionally

• Prior experience working on AI Infrastructure, HPC, or cloud computing

Other Requirements:

• Strong grasp of AI/ML technologies and architectures

• Good understanding of cloud computing and distributed systems

• UX expertise across GUI, CLI, APIs, and SDKs

• Entrepreneurial mindset

Responsibilities:

• Define and own the product vision, strategy, and roadmap

• Develop product requirements – Epics, features, user stories

• Conduct ongoing market research and competitive analysis

• Drive collaboration between engineering, design, marketing, and sales

• Work with marketing and sales to define GTM strategies and pricing

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

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

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

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

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

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

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)

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)