AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Mapping Algorithm Engineer
Accelerate autonomous vehicle deployment with AI-first mobility solutions featuring highway assist, urban driving, and automated valet parking for OEMs.
Experience Requirements:
Experience in vehicle-side mapping, online map post-processing, or crowdsourced mapping is preferred.
Familiarity with automotive sensors (cameras, radar, GNSS, IMU, wheel speed sensors).
Other Requirements:
Familiar with semantic SLAM frameworks, online mapping algorithms, and backend optimization.
Knowledge of ICP, particle filtering, nonlinear optimization, Kalman filters, or multi-sensor fusion.
Proficient in C++.
Scripting skills for rapid prototyping.
Strong problem-solving, communication, and teamwork skills.
Responsibilities:
Track and maintain geometric and semantic information for local static objects in mass-production projects.
Ensure absolute and relative accuracy of maps under diverse driving conditions.
Design, implement, and maintain vehicle-side memory mapping algorithms.
Achieve semantic localization using prior maps.
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Generative Model Algorithm Engineer
Accelerate autonomous vehicle deployment with AI-first mobility solutions featuring highway assist, urban driving, and automated valet parking for OEMs.
Education Requirements:
Master’s degree or higher (Ph.D. preferred) in AI, computer science, automation, mathematics, or related fields.
Experience Requirements:
Knowledge of Diffusion Models, NeRF, 3D Gaussian Splatting is preferred.
Publications in top conferences are a plus.
ACM competition experience is a plus.
Other Requirements:
Strong foundation in data structures and algorithms.
Proficient in Python/C++ and frameworks like PyTorch/TensorFlow.
Excellent English and mathematical skills.
Strong coding ability.
Responsibilities:
Research generative models in autonomous driving, publish top-tier papers, and file patents.
Promote the application of generative models in autonomous driving.
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Full Stack Engineer. AWS Expertise
Streamline video workflows and automate media indexing with semantic search and identity recognition, enabling broadcasters to find specific content in seconds.
Education Requirements:
Bachelor's, Master's in Computer Science or equivalent experience
Experience Requirements:
2+ Years of job-related experience
Other Requirements:
Proficiency within C++ or Python
Basic DevOps skills
Good experience in MongoDB, Cassandra, Kafka
Broad experience in overall system design and implementation
Ability to design scalable systems
An understanding of domain modeling and fluent interface
Experience applying design patterns in concurrency scenarios
Familiarity with Web technologies (HTML, CSS, DOM, JavaScript, and SVG)
Proven experience in designing persistence and caching models using both SQL and NoSQL
Responsibilities:
Design, build, and maintain data infrastructure for both production and internal research
Design platform and tools to facilitate research
Administer and maintain computing cluster
Maintain production job scheduler
Setup and Maintain authentication systems for API's
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Signal Processing Engineer
Streamline video workflows and automate media indexing with semantic search and identity recognition, enabling broadcasters to find specific content in seconds.
Education Requirements:
MS/BS in EE or CS
Experience Requirements:
5+ yrs developer experience required
Required MatLab/Octave: 5 years
Other Requirements:
Extensive C or C++ programming experience in real-time embedded systems required
MatLab or GNU Octave DSP Algorithm development and simulation experience
In-depth knowledge and development experience with wireless communication protocols
Strong analysis, design and debug skills
Ability to work independently, meet project deadlines and document work
Responsibilities:
Design, Analyze and Develop Wireless systems
Design wireless algorithms for wireless sensing, denoising for various real-world scenarios.
Test and optimize the algorithms to meet real-time and performance requirements.
Integrate sub-systems and test functionality at the system level along with other ML/AI algorithms.
Measure and optimize to meet system-level performance and operational requirements
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AI or Machine Learning Engineer Bangalore
Streamline video workflows and automate media indexing with semantic search and identity recognition, enabling broadcasters to find specific content in seconds.
Education Requirements:
Bachelors Degree in Computer Science or related field required
Experience Requirements:
Minimum 2 years experience designing and implementing time series forecasting
Minimum 2 years experience designing and implementing machine learning solutions
Other Requirements:
Object oriented programming skills in one of Scala, Java, Python, C++
Strong knowledge and understanding of machine learning pipelines
Common data science toolkits, such as NumPy Pandas scikit-learn Matplotlib etc
Deep learning frameworks such as PyTorch TensorFlow
SQL and NoSQL databases such as PostgreSQL Cassandra MongoDB etc.
Responsibilities:
Design machine learning systems
Research and implement appropriate ML algorithms and tools
Develop machine learning applications according to requirements
Select appropriate datasets and data representation methods
Train ML/AI algorithms and test them for accuracy, precision and recall
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Software Engineer Back-end Developer
Automate defect identification and damage assessment across various industries using a Large Vision Model for objective, high-speed visual inspections.
Experience Requirements:
2-6 years
Minimum 2 years needed
At a minimum of 2 years of hands-on experience in Python and Javascript
Other Requirements:
Proficiency in Python
Familiarity with MySQL, Redis and MongoDB
Strong organizational and project management skills
Excellent verbal communication skills
Good problem-solving skills
Responsibilities:
Designing and developing APIs
Develop scalable systems using Python with Flask / Django
Apply best coding practices, review peer code, maintain repositories on GIT
Create test cases for API and module level testing
Deploy production-grade apps/services on cloud-based environments
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Warehouse Team Leader
Reduce employee attrition and boost engagement with AI-driven conversational surveys and predictive analytics designed for HR leaders in IT, BPM, and retail.
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QA QC ASSISTANT SUPERVISOR
Reduce employee attrition and boost engagement with AI-driven conversational surveys and predictive analytics designed for HR leaders in IT, BPM, and retail.
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Data Analyst
Optimize marketing ROI and location-based strategies with high-accuracy geospatial data, no-code analytics, and real-time fleet tracking for enterprise teams.
Benefits:
Opportunity to work on impactful, data-centric projects
Exposure to both data analytics and data science practices
Gain hands-on experience with cutting-edge technologies
Collaborative and growth-oriented work environment
Education Requirements:
Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, or a related field
Experience Requirements:
Basic knowledge of data analytics concepts and methods (e.g., statistical analysis, data visualization)
Proficiency in data analysis tools such as Excel, SQL, and Python (Pandas, NumPy, etc.)
Other Requirements:
Strong problem-solving skills and attention to detail
Ability to work independently and in a team environment
Excellent communication skills with the ability to present data findings clearly
Knowledge of data visualization tools (e.g., Tableau, Power BI) and PostgreSQL is a Bonus
A willingness to learn new tools and technologies in data science
Responsibilities:
Assist in the collection, processing, and cleaning of large datasets to ensure data quality and integrity
Perform basic data analysis using tools such as Excel, SQL, and Python to generate actionable insights
Support the development and testing of machine learning models under guidance
Work closely with engineering and business teams to identify opportunities for data-driven improvements
Contribute to the preparation and presentation of data reports and dashboards
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Product Development Engineer (Frontend)
Streamline investment due diligence by transforming raw deal data into structured formats for automated analysis, reporting, and portfolio-wide insights for PE firms.
Benefits:
Diversity and inclusion values
Education Requirements:
Engineering degree in computer science or equivalent
Experience Requirements:
3+ years experience
4-6 years overall software engineering
Deep experience with React-Native
Responsive design
RESTful API integration
Other Requirements:
US citizenship/visa not required
Java skills
TypeScript skills
LLM based operations knowledge
Responsibilities:
Participate in entire lifecycle
Build web/mobile interfaces
Collaborate with UX designers
Debug backend codebases
Write scalable code
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Senior Data Analyst
Streamline investment due diligence by transforming raw deal data into structured formats for automated analysis, reporting, and portfolio-wide insights for PE firms.
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
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IT Manager
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:
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
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Senior DevOps Engineer/SRE
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 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
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Staff AI Runtime Engineer
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 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
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Staff Backend 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:
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
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Staff DevOps Engineer/SRE
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, 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
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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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HR Partner/Office Adminstrator
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:
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
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