Role

We are looking for a Staff Site Reliability Engineer to join our Engineering team. This is a hybrid role based in Bangalore, reporting to the Director, Site Reliability Engineer. 

You will be a key driver in provisioning and deploying new infrastructure, focusing heavily on infrastructure automation. Your expertise will help manage how customer traffic is routed within the cloud and ensure seamless troubleshooting across hardware and automated systems.

What you’ll do (Role Expectations)

• Manage and maintain large-scale distributed systems using an infrastructure-as-code approach
• Develop and enhance tools to automate the deployment and management of large-scale services, focusing on reliable system architecture and maintaining high code quality
• Diagnose and resolve issues by editing code, adjusting infrastructure configurations, conducting performance and network analysis, and creating reusable tools
• Develop automation solutions and manage services efficiently using version-controlled infrastructure-as-code
• Support mission critical services and participate in on-call rotations as needed

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact
• You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose
• You are driven by innovation. You have a deep curiosity for how things work and are energized by solving complex technical challenges. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way
• You are resilient and adaptable. You view change as an opportunity and setbacks as temporary. You maintain composure and focus in high-pressure situations, guiding yourself and your team through complexity with a steady, positive hand

What We’re Looking for (Minimum Qualifications)

• 5+ years of relevant experience in site reliability or systems engineering
• Proficiency with Python or Ansible for automation tasks as well as proficiency with interacting with external APIs
• Demonstrated experience building and maintaining automation solutions
• Strong background in systems administration, specifically with Linux or other major operating systems
• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience

What Will Make You Stand Out (Preferred Qualifications)

• Hands-on experience with Systems Kickstart using PXE and monitoring and observability tools like Prometheus, Grafana, or Nagios

#LI-SK3 

#LI-HYBRID

EOS is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at EOS regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor. 

#IND #LI-Hybrid

Reports To

Software Engineering Manager

We are seeking a Senior Software Engineer to play a vital role in developing our Energy Management platform. In this influential position, you will help shape, build, and sustain a robust suite of micro-services. Your work will significantly affect our long-term technical

strategy. This role demands practical experience in every stage of microservice development, including architecture design, coding, deployment, and monitoring.

What You Will Be Doing

• As a member, you will participate in major initiatives and opportunities, demonstrating your well-rounded skills in communication, technology, and execution to bring a project from inception to general availability for customers.
• You will play a key role in designing industry-leading standards and solutions to develop new solutions and scale ChargePoint to support real-time communication with millions of charging stations.
• As part of the Energy Management team, you will represent Cloud services by executing initiatives in collaboration with cross-functional teams such as Product, Embedded Platform, Quality, Support, and Operations.
• Your goal is not only to resolve their concerns but also to work with them to define and build better solutions. You will work on code directly impacting the business, including developing and maintaining real-time Energy Management solutions that optimise EV charging efficiency.
• Additionally, you are expected to improve the team by contributing to code reviews, documentation, and the development process. You will also champion organisational principles by helping to define and uphold them.

Requirements

• 4+ years of experience building back-end software
• Hands-on with JVM Language is a must, such as Java/Kotlin
• Working experience with Spring Boot, Kafka, and Kubernetes,
• Working experience with modern software architecture components (e.g. Distributed Systems, Containerization, Micro Services, Observability, etc.)
• Working experience in one of the cloud providers (AWS, GCP, Azure, etc.)
• Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering, and Math)
• Good in CS fundamentals - data structures, algorithm design, problem-solving, and complexity analysis.

Personal/Leadership Attributes

• Voices opinions and presents a clear rationale. Uses data or factual evidence to influence.
• Learns the organisation’s vision statement and decision-making framework.
• Able to understand how the team and personal goals/objectives contribute to the organisation’s vision.
• Completes assigned tasks on time and with high quality.
• Has the ability to break down problems and estimate time for development tasks.
• Identifies opportunities for innovation and offers new ideas. Takes the initiative to experiment with new software frameworks
• Adapts to new environments and changing requirements. Pivots quickly as needed. When coached, responds to need & seeks info from other sources.

Location

Bengaluru, India

Required Skills and Experience:

• 7+ years of experience in network engineering roles
• Relevant experience or certification (e.g. CCNP or JNCIP Data centre, Enterprise or Service provider)
• Strong knowledge of BGP, OSPF, routing policies, and network troubleshooting
• Strong understanding of TCP/IP, DNS, NAT, routing, switching, and load balancing
• Hands-on experience with Cisco networking platforms
• Ability to troubleshoot layer 2 (ARP and MAC address tables as well as LACP and MC-LAG)
• Ability to troubleshoot DNS problems
• Experience with common network cabling
• Kubernetes CNI (Calico, Cilium)
• Cloud & Hybrid Networking
• Experience with hybrid cloud networking including site-to-site VPNs and private connectivity (AWS Direct Connect, GCP Interconnect)
• Understanding of cloud-native networking services (VPC, Transit Gateway, Cloud Router)
• Automation & Infrastructure-as-Code
• Working knowledge of Terraform for network infrastructure provisioning
• Experience with configuration management tools (Ansible, or similar)
• Observability & Operations
• Experience implementing network monitoring and alerting systems
• Understanding of network performance metrics and logging
• Ability to create and maintain runbooks and documentation
• Security
• Experience implementing network security controls and segmentation
• Understanding of firewall management and security policies
• Familiarity with network access control concepts

Preferred skills:

• EVPN
• Experience with IPv6 rollout
• Juniper specific knowledge and experience
• Linux CLI

We are looking for a bright and motivated Help Desk Engineer to deliver enterprise-level technical support to our internal customers. You’ll be the first point of contact for troubleshooting and resolving IT issues via phone, email, chat, and ticketing systems.
This is a high-impact role where your technical expertise and customer-first mindset will directly contribute to the productivity of our global teams.

Responsibilities
• Provide Tier 1 support for desktops, laptops, mobile devices, printers, and peripherals.
• Troubleshoot issues related to Microsoft 365, Windows OS, Exchange Admin, Google Workspace, and VPN/Wi-Fi connectivity.
• Resolve incidents and service requests using ITSM tools and follow ITIL best practices.
• Maintain accurate documentation of issues and resolutions in the help desk system.
• Escalate complex issues to appropriate teams while ensuring timely follow-up.
• Collaborate with global IT teams to support onboarding/offboarding and hardware provisioning.

Requirements: 
• 1–3 years of experience in a Help Desk or IT Support role.
• Strong knowledge of Microsoft domain environments, Active Directory, Windows and Mac OS.
• Familiarity with ITSM tools and ticketing systems.
• Understanding of networking fundamentals (TCP/IP, DNS, DHCP, VPN).
• Excellent communication and interpersonal skills.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
• Certifications like CompTIA A+, ITIL Foundation, or Microsoft Certified: Modern Desktop Administrator Associate.
• Experience supporting global teams across multiple time zones.

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

• End-to-End DFT Strategy: Define and implement the complete DFT architecture as independent as possible, including Scan, MBIST, BSCAN, and Boundary Scan.
• Constraint Management: Take charge of DFT constraint development and management, ensuring seamless integration with synthesis and STA (Static Timing Analysis) teams.
• ATPG & Simulation: Generate high-coverage test patterns (Stuck-at, At-speed, Transition, Path Delay) and lead the verification of these patterns through timing-annotated simulations.
• AI-Specific Optimization: Implement advanced DFT techniques tailored for Edge AI architectures, such as high-bandwidth memory testing and low-power test modes.
• Hierarchical DFT: Design and execute hierarchical DFT flows to manage complexity in large-scale AI SOCs.
• Silicon Bring-up: Partner with the ATE (Automated Test Equipment) teams to debug patterns on silicon and drive yield improvement initiatives.

• The Experience: 9–10 years of hands-on experience in DFT, preferably with at least one full tape-out cycle in a lead or staff capacity.
• The Toolkit: Expert-level proficiency with industry-standard tools (e.g., Siemens Tessent, Synopsys DFTMAX/TetraMAX, or Cadence Genus/Modus).
• Technical Depth: Deep understanding of DFT-centric STA, power-aware DFT, and high-speed IO testing.
• Startup Mindset: You are comfortable wearing multiple hats. You don't wait for a manual; you build the manual.
• Edge AI Interest: A genuine interest in how AI hardware differs from general-purpose CPUs/GPUs.

• High Impact: In a startup, your decisions aren't buried in layers of bureaucracy; they are visible in the final silicon.
• Growth: You’ll be working alongside veterans from top-tier chipmakers, solving problems that haven't been solved yet.
• Ownership: We value "intrapreneurs"—engineers who treat the product like it’s their own.

Responsibilities

• Be part of a trading systems engineering team, dedicated to building out the core trading platforms.
• Work closely with cross functional teams to improve the system reliability, scalability and security.
• Engage in and improve the quality supporting the platform.
• Build and manage systems, infrastructure and applications through automation.
• Provide operational support to internal teams working on the platform.
• Work on improvements to bring in high efficiency, reduce latency, deploy systems faster.
• Practice sustainable incident response and blameless postmortems.
• Together with your engineering team, you will share an on-call rotation and be an escalation contact for service incidents.
• Implement and maintain rigorous security best practices across all infrastructure, with a focus on minimizing attack surface and ensuring data integrity.
• Monitor system health and performance with a keen eye for identifying and resolving issues before they affect trading activity.
• Manage user queries and service requests (often requiring in depth analysis of the technical and/or business logic of our systems).
• Proactive approach to problem analysis and resolution of production incidents.
• Manage Issue tracking and prioritisation of day to day production incidents.
• Manage platform trading support initiatives (e.g. platform monitoring, reporting, release automation).

 Minimum Qualification

• Bachelors with 5+ years of working experience as Site Reliability Engineering (SRE) / Devops Engineer
• Strong knowledge of Linux system internals (kernels, memory management, file systems & network I/O optimization) as well as bash scripting.
• Minimum 3-5 years experience in a Front Office Trading Floor or related application support experience.
• Need to be available to work in US (Night) Shift
• Good product knowledge in financial instruments including experience in managing front to back trading lifecycle and familiar with order life cycle (Equities, FX, Crypto etc).
• Experience with electronic trading platforms and OMS/EMS systems.
• Knowledge of ITIL practices including Incident, Problem and Change management.
• Experience with system monitoring platforms.
• Proven expertise optimizing systems for lowest latency performance and productionizing trading systems, from initial concept to full deployment, including on-prem and colocation.
• Strong working knowledge of network communications fundamentals TCP/IP and UDP
• Knowledge of FIX protocol, as well as familiarity with low latency multicast with Aeron.
• Strong skills around observability, debugging and performance tuning, with a willingness to dive-deep to determine the root cause, 
• Effective communicator, with the ability to explain root causes in plain language, then outline plans and recommendations to remediate and ultimately to execute plans that systematically resolve issues.
• Demonstrated ability to build tools that enable rapid operational triage; leveraging logs, performance telemetry metrics and traces to make Grafana dashboards (or similar) 
• Strong experience deploying and managing Cloud infrastructure with providers like AWS, Azure and/or GCP (accounts, profiles, IAM roles, Policies, service classes, instance types, etc.)
• Strong experience adapting workloads to use Cloud Native technologies, like kubernetes and docker etc. (Dockerfile, docker-compose, helm charts, deploy manifest, ingress wiring, service mesh, etc.)
• Expertise using devops deployment tooling, like Github Actions, Jenkins, ArgoCD and Ansible.
• Hands-on experience developing in one or more programming languages: C, C++, Java, Python, or Go.
• Proficient in utilizing C++ build systems such as CMake and building CI/CD pipelines for trading systems.
• Working knowledge of key backing services like mysql, PostgresDB, Redis, MongoDB, DynamoDB, Kafka, RabbitMQ, etc.

 Key attributes critical to success:

• Strong interpersonal skills and the ability to communicate confidently and clearly with internal teams and external counterparts..
• Ability to analyse complex scenarios from both a technical and business perspective and deliver solutions.
• A sense of urgency, and an ability to deliver to deadlines in an environment where multiple competing requirements are a part of the job.
• Proactivity and a strong ownership ethos, ensuring that queries are resolved through to completion.
• Desire and ability to deliver improvements to the platform.

Preferred Qualification

• Extensive experience with DevOps for Deployment automation and App level support, as well as SRE and/or Linux systems Administrator for systems and infrastructure level support.
• Extensive experience in a Low Latency Electronic trading environment, where high performance is critical at all stages of the infrastructure, network and application design and implementation.
• Expertise in developing advanced observability capabilities (USE-RED signals, Tracing, front end observability etc) 

Bonus Points:

• Experience with hardware acceleration technologies (FPGAs, GPUs, LPU, TPU).
• Experience with financial data security regulations (PCI DSS, SOC 2).
• Familiarity with algorithmic trading strategies and quantitative analysis concepts.

The Team:

As an IT Service Engineer at Celonis, you will be a vital part of our international IT Service Team, responsible for ensuring seamless IT operations across the company. You will play a critical role in troubleshooting, resolving, or escalating IT-related issues for Celonis employees globally. This is an excellent opportunity for an experienced IT professional with hands-on expertise in both macOS and Windows environments who thrives in a fast-paced, dynamic, and international workplace. A willingness to work in a shift-based support model is essential to ensure global coverage and timely support.

The work you’ll do:

• Act as the first point of contact for IT support requests from employees, resolving issues or escalating tickets as necessary.
• Provide hands-on support for both macOS and Windows platforms, troubleshooting hardware, software, and network issues.
• Collaborate with the global IT Service Team to resolve technical issues via phone, email, or remote assistance.
• Install, configure, and maintain computing equipment and peripherals, including desktop and laptop systems (macOS and Windows), network printers, and video conferencing systems (Google Meet/MS Teams).
• Support mobile devices, including smartphones, through mobile device management platforms like Intune and Kandji
• Ensure clear and effective communication with users to understand, document, and resolve their IT issues.
• Perform basic repairs and replacements for computing equipment when needed.
• Develop and maintain documentation and user guides for common issues to improve IT service efficiency.
• Participate in a shift-based support schedule to ensure coverage across global time zones.

The qualifications you need:

• 3-5 years of hands-on experience in IT support, with proven ability to troubleshoot and resolve issues across both macOS and Windows environments.
• Strong knowledge of macOS and Windows 11 operating systems.
• Experience with Active Directory as well as Azure Active Directory.
• Understanding of TCP/IP networks and fundamental network troubleshooting skills.
• Proficiency in M365 administration and support.
• Strong knowledge of collaboration tools such as Microsoft Teams and Zoom.
• Experience with Mobile Device Management (MDM) solutions like Intune and Kandji
• Familiarity with operating and maintaining network components such as video conferencing systems (Google Meet/MS Teams) and network printers.

Required Skills:

• Strong communication skills with the ability to work effectively in a global, multicultural team.
• Detail-oriented, with excellent problem-solving abilities and a proactive mindset.
• Capable of managing multiple tasks and projects in a fast-paced environment
• A team player who is motivated to provide excellent customer service and continuous improvement in IT processes.
• ITIL V4 Foundation certification

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

THE ROLE

As a core member of the Forensics team, you will be the lead detective for Everpure’s most complex technical challenges. Your mission is to perform deep-dive debugging and root-cause analysis on issues that span our large-scale storage platforms, with a specific focus on firmware integration within the broader storage stack. Working at the intersection of engineering, hardware, and platform teams, you will resolve high-stakes escalations and architect the reliability features that protect the data of the world’s largest hyperscale customers.

WHAT YOU’LL DO

• Lead High-Impact Investigations: Drive root-cause analysis for critical escalations by correlating evidence across platform logs, system metrics, and hardware telemetry to pinpoint the source of failure.

• Debug Across the Stack: Analyze complex failures that range from high-level operating system layers down to low-level device firmware and hardware interactions.

• Engineer Triage Tooling: Design and refine automated tools for log analysis and health monitoring to accelerate issue detection and reduce "Time to Resolution" for the entire engineering organization.

• Collaborate in "War Rooms": Participate in cross-functional debug meetings and daily war rooms, providing the technical evidence and reproduction steps needed to drive fixes across firmware and software teams.

• Architect System Guardrails: Contribute to the design of safety checks, observability features, and "safety rails" that proactively prevent known failure modes in our storage solutions.

• Support Global Rollouts: Ensure the reliability of new firmware builds and hardware SKUs by validating their integration at scale before they reach the customer.

WHAT YOU BRING

• Deep Systems Forensics Expertise: Extensive experience in systems, storage, or low-level software engineering (Kernel, Embedded, or Networking) with a "detective" mindset for solving non-deterministic bugs.

• Multi-Layer Debugging Mastery: Proven ability to navigate and resolve issues across OS, platform software, and NVMe/Flash storage firmware layers.

• Technical Tooling Proficiency: Strong skills in Python, Go, or C/C++ used to automate data collection and forensic analysis, alongside mastery of Linux command-line tools.

• Scale & Automation Fluency: Familiarity with large-scale test environments and CI/CD pipelines (e.g., Jenkins) to validate fixes and monitor for regressions.

• Strategic Communication: The ability to translate complex technical forensics into clear, actionable bug reports and investigation summaries for both executive and engineering audiences.

• Preferred: Prior experience in customer-facing escalations or a background in qualifying device firmware for enterprise storage controllers.

• We are primarily an in-office environment and therefore, you will be expected to work from the Bengaluru office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

THE ROLE

We are seeking an experienced Hardware Test Engineer to join our Bangalore-based Manufacturing Test Team. Your primary focus will be to develop an end-to-end test solution for SSD products in a high volume manufacturing environment. This position will require deep technical expertise in test software development with Python, hands-on work with hardware, and close collaboration with cross-functional teams.

WHAT YOU'LL DO

• Test Software Development:
• Design, develop, and deploy software solutions for testing SSD storage hardware in a manufacturing setting.
• Improve existing test software for greater efficiency, scalability, and integration, ensuring alignment with hardware requirements.

• Hardware Debugging: 
• Basic understanding of the SSD storage hardware
• Ability to diagnose and resolve problems within the manufacturing test environment, including failure analysis and troubleshooting across different platforms.

• Cross-Functional Collaboration:
• Drive test requirements to cross-functional teams, ensuring alignment with overall product and manufacturing goals.
• Maintain close coordination with global teams to ensure feedback and improvements are incorporated into the test tools.
• Contract Manufacturer (CM) Communication and Proto Build Management:
• Serve as the main technical interface between the company and CMs, ensuring accurate communication of test requirements and process updates.
• Oversee the management of prototype builds, ensuring that test plans are effectively executed and any issues are promptly addressed.
• Continuous Improvement:
• Lead initiatives to enhance test procedures and tools, focusing on improved debugging, failure handling, and overall testing efficiency.

We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related field.
• 8+ years of experience in software development for hardware manufacturing test tools.
• Software Development Expertise: Strong experience in developing and enhancing test software, with proficiency in Python, or similar object-oriented programming languages.
• Program management: Plan and execute hardware test programs, manage risks, coordinate cross-functional teams, optimize resources, track issues, ensure compliance, and communicate results effectively.
• Test Plan Development: Ability to create detailed, robust test plans from hardware schematics and design documentation, ensuring comprehensive hardware validation.
• Problem-Solving Skills: Strong analytical and problem-solving skills, dedicated to improving test processes and software tools.
• Communication Skills: Excellent interpersonal and communication skills, with experience working in cross-functional and geographically distributed teams.
• Experience in high-volume manufacturing environments is a plus.
• Prior experience working with a hyperscaler company would be an advantage.
• Lean Six Sigma certification is preferred.

#LI-ONSITE

Platform Engineer - Network Integration

SHOULD YOU ACCEPT THIS CHALLENGE...

We are looking for a Platform Engineer - Network Integration to design, operate, and scale foundational core services, including corporate solutions for IPAM/DDI, and CMDB. You will work across hardware, networking, and platform teams to ensure infrastructure is discoverable, automated, reliable, and ready for self-service consumption.

WHAT YOU’LL NEED TO BRING TO THIS ROLE...

Software Defined Network Services: IPAM, DDI & CMDB

Own and design the corporate IP Address Management (IPAM) and DDI (DNS, DHCP/IPAM) platforms.

Design scalable IP allocation, DNS, and DHCP strategies across multiple datacenters and environments.

Integrate IPAM/DDI systems with provisioning, bootstrapping, and CMDB workflows.

Act as a steward of the CMDB , ensuring accuracy, consistency, and automation-driven updates.

Design and implement the software solution and manage its operation at scale for the whole company.

Monitoring, Observability, and Reliability

Implement and improve monitoring, alerting, and dashboards for infrastructure health (e.g., Prometheus, Grafana, ELK/Nagios or similar).

Define and track key metrics (availability, latency, capacity, error rates), and drive improvements based on data.

Participate in incident response, perform root cause analysis, and implement long‑term fixes and runbooks.

Build API and Integration around IPAM Solution

Develop APIs and integrations to orchestrate infrastructure workflows (compute, storage, network, cloud) around the IPAM solution.

Build solutions for dynamically allocating and recycling IPs for compute infrastructure and workflows.

Required Skills & ExperienceCore Technical Skills

Deep knowledge of IPAM, DNS, and DHCP at enterprise scale.●

Experience in designing, developing, and maintaining the corporate DDI solution as code.

Experience with bare-metal provisioning and hypervisor deployment.

Hands-on experience with Puppet and Ansible or similar automation tools.

Experience operating or integrating CMDB systems as a source of truth.

Solid knowledge of datacenter networking concepts, including Fibre Channel.

Proficiency with Linux systems and troubleshooting at hardware and OS layers.

Automation & Systems Thinking

Experience building infrastructure automation and onboarding pipelines.

Familiarity with API-driven integrations and workflow orchestration.

Ability to reason about infrastructure as a platform, not just individual systems.

Collaboration & Ownership

Comfortable working cross-functionally with hardware, software, storage, and SRE teams.

Strong operational mindset with a focus on reliability, correctness, and supportability.

Ability to drive ambiguous problems to clear, automated solutions.

Nice to Have

Experience with large-scale internal platforms or “infrastructure as a product.

Background in SRE/DevOps.

Exposure to self-service infrastructure platforms and developer enablement.

Experience operating in multi-datacenter or hybrid environments.

Server Bootstrapping & Provisioning Automation

Familiarity with datacenter bootstrapping services, including PXE, imaging, and initial OS/hypervisor provisioning.

THE ROLE

We are seeking an experienced Hardware Test Engineer to join our Bangalore-based Manufacturing Test Team. Your primary focus will be to develop an end-to-end test solution for SSD products in a high volume manufacturing environment. This position will require deep technical expertise in test software development with Python, hands-on work with hardware, and close collaboration with cross-functional teams.

WHAT YOU'LL DO

• Test Software Development:
• Design, develop, and deploy software solutions for testing SSD storage hardware in a manufacturing setting.
• Improve existing test software for greater efficiency, scalability, and integration, ensuring alignment with hardware requirements.

• Hardware Debugging: 
• Basic understanding of the SSD storage hardware
• Ability to diagnose and resolve problems within the manufacturing test environment, including failure analysis and troubleshooting across different platforms.

• Cross-Functional Collaboration:
• Drive test requirements to cross-functional teams, ensuring alignment with overall product and manufacturing goals.
• Maintain close coordination with global teams to ensure feedback and improvements are incorporated into the test tools.
• Contract Manufacturer (CM) Communication and Proto Build Management:
• Serve as the main technical interface between the company and CMs, ensuring accurate communication of test requirements and process updates.
• Oversee the management of prototype builds, ensuring that test plans are effectively executed and any issues are promptly addressed.
• Continuous Improvement:
• Lead initiatives to enhance test procedures and tools, focusing on improved debugging, failure handling, and overall testing efficiency.

We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related field.
• 5+ years of experience in software development for hardware manufacturing test tools.
• Software Development Expertise: Strong experience in developing and enhancing test software, with proficiency in Python, or similar object-oriented programming languages.
• Program management: Plan and execute hardware test programs, manage risks, coordinate cross-functional teams, optimize resources, track issues, ensure compliance, and communicate results effectively.
• Test Plan Development: Ability to create detailed, robust test plans from hardware schematics and design documentation, ensuring comprehensive hardware validation.
• Problem-Solving Skills: Strong analytical and problem-solving skills, dedicated to improving test processes and software tools.
• Communication Skills: Excellent interpersonal and communication skills, with experience working in cross-functional and geographically distributed teams.
• Experience in high-volume manufacturing environments is a plus.
• Prior experience working with a hyperscaler company would be an advantage.
• Lean Six Sigma certification is preferred.

#LI-ONSITE

THE ROLE

As a Firmware Validation Engineer, you will be the guardian of reliability for the Everpure™ DirectFlash™ Module (DFM)—the high-performance heart of our FlashArray and FlashBlade solutions. You will move beyond standard testing to architect validation strategies that exploit the DFM’s unique hardware-software integration, ensuring our NAND technology outperforms traditional off-the-shelf SSDs. Collaborating with Hardware and Systems teams, your mission is to deliver bulletproof firmware that powers the world’s most scalable enterprise storage.

WHAT YOU’LL DO

• Architect Comprehensive Test Suites: Design and implement end-to-end firmware validation modules for the Everpure™ DFM, specifically targeting complex exception and error-path scenarios to ensure 100% design coverage.

• Drive Firmware Stability: Own the development and execution of automated regression suites (nightly and weekly), providing the critical "go/no-go" signals for milestone-specific firmware releases.

• Lead Failure Analysis: Investigate and debug deep-level firmware issues using C/C++ and Python, while building custom failure analysis tools that accelerate root-cause identification across the engineering org.

• Optimize Continuous Integration: Integrate automated unit and regression testing into our CI/CD pipelines, ensuring that every code commit maintains the high-performance standards of the Everpure™ Platform.

• Cross-Functional Collaboration: Partner closely with manufacturing and hardware teams to translate hardware specifications into robust validation software that predicts and prevents failure modes in flash-based devices.

WHAT YOU BRING

• Firmware & Storage Mastery: Extensive experience in hardware/system validation with deep technical knowledge of NAND Flash architecture and SSD firmware design within an enterprise storage environment.

• Software Engineering Prowess: Advanced proficiency in Python (Object-Oriented Programming) for test automation, complemented by the ability to read and debug C/C++ firmware code.

• Advanced Debugging & Hardware Fluency: A proven track record of diagnosing complex failure modes in flash-based devices, utilizing a strong understanding of storage interfaces and embedded systems.

• Validation Strategy Ownership: The independent ability to devise, automate, and refine qualification methods that bridge the gap between low-level hardware design and high-level system software.

• Location: We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

THE ROLE

As the Technical Architect for our Testbed Infrastructure, you will design the blueprint for a global automation platform that scales from hundreds to thousands of complex environments. You will bridge the gap between hardware and software, transforming how our engineering teams consume infrastructure by moving us from reactive manual fixes to a state of proactive, self-healing orchestration. Partnering closely with Engineering Leadership, you will serve as the technical north star for the team, ensuring our foundation is resilient enough to support the next generation of product innovation.

WHAT YOU’LL DO

• Orchestration Architecture: Design and oversee the development of a unified orchestration layer that manages state, scheduling, and resource allocation across our entire physical and virtual fleet.

• Infrastructure Reliability: Eliminate systemic bottlenecks—such as resource contention and distributed locking issues—to ensure 99.9% availability of provisioning workflows for global engineering teams.

• Technical Roadmap Leadership: Define the long-term strategy for hardware lifecycle management, ensuring our automation stack seamlessly integrates with next-generation hardware and evolving operating systems.

• Cross-Functional Standardization: Partner with SRE and Product teams to establish company-wide standards for environment requests, reducing time-to-test and streamlining the CI/CD pipeline.

• Technical Mentorship: Cultivate a high-performance engineering culture by setting code quality standards and coaching senior engineers on distributed systems design and complex root-cause analysis.

WHAT YOU BRING

• Distributed Systems Mastery: Proven ability to architect and scale infrastructure management tools, with a deep understanding of the trade-offs between consistency, availability, and partition tolerance.

• Systems Engineering Expertise: Advanced knowledge of the Linux kernel, boot processes (PXE/iPXE), and virtualization/containerization technologies such as KVM, QEMU, and Docker.

• Software Craftsmanship: Expert-level proficiency in Python or Go, with the ability to design robust APIs and scalable microservices that interact directly with physical and virtual hardware.

• Advanced Troubleshooting: A track record of solving "impossible" technical challenges that span the entire stack, from low-level hardware and networking to high-level software orchestration.

• Pragmatic Strategy: The ability to advocate for technical excellence and modern architectural patterns while effectively balancing business priorities and existing legacy constraints.

• Location: We are primarily an in-office environment and therefore, you will be expected to work from the {{OFFICE_LOCATION}} office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

Reports To

Software Engineering Manager

What You Will Be Doing

As a PHP Developer you will join one of our teams to help maintain and enhance our cloud-based software platform for e-mobility. You will play a crucial role in ensuring the stability, performance, and scalability of the platform, working with cross-functional teams to deliver high-quality features and improvements.

What You Will Bring to ChargePoint

• Work together with other software developers to to align on project goals, architecture, and delivery timelines
• Implement and maintain scalable software solutions using PHP. Balance technical excellence with pragmatic solutions to deliver business value
• Leveraging GitOps, Kubernetes, and other tools to streamline deployment and infrastructure management
• Participating in architectural discussions, bringing forward innovative ideas, and constructively challenging others’ proposals

Requirements

• 5+ years of experience in PHP, Relational Databases (like MySQL, Postgres), Kafka, RabbitMQ,React.
• Profound experience in backend development
• Experienced in object-oriented programming
• Experienced in designing APIs
• Experienced with event-based distributed applications
• Focus on clean and readable code
• Source code management with Git
• Ability to work in a team and willingness for an open feedback culture

Location

Bangalore, India

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

Aerospike is the real-time database for mission-critical use cases and workloads, including machine learning, generative, and agentic AI. Aerospike powers millions of transactions per second with millisecond latency, at a fraction of the total cost of ownership compared to other databases.

Global leaders, including Adobe, Airtel, Barclays, Criteo, DBS Bank, Experian, Grab, HDFC Bank, PayPal, Sony Interactive Entertainment, The Trade Desk, and Wayfair, rely on Aerospike for customer 360, fraud detection, real-time bidding, profile stores, recommendation engines, and other use cases. 

Headquartered in Mountain View, California, with offices in London, Bangalore, and Tel Aviv. Aerospike is the uncontested leader in next-generation, always-on, hyperscale data solutions. Unlike legacy NoSQL systems, our patented Hybrid Memory Architecture unlocks today’s hardware to deliver unimaginable performance and value for the most demanding data workloads—from the edge to the core, to the cloud.

As a Software Engineer at Aerospike, you will play a pivotal role in advancing our high-performance, low-latency platform by developing core systems software with a strong emphasis on performance, reliability, and efficiency. Experience with kernel modules or filesystems is a plus, though not a core focus of this role. You will collaborate with project managers, performance engineers, and quality engineers to align development with business needs and ensure quality.

This is a hybrid role.Employees are expected to work from the Bangalore office 2-3 times a week.

Responsibilities

• Design and implement systems-level software, especially in areas related to networking, low-level I/O, and hardware interfaces.
• Develop high-performance, low-latency code for interacting with storage and network hardware.
• Debug and optimize OS-level issues across Linux-based environments.
• Ensure system quality through rigorous testing and benchmarking.
• Work with storage hardware to optimize performance.

Minimum Qualifications

• Fluent in C or C++ with deep understanding of low-level programming and memory management.
• Strong understanding of OS internals – threading, concurrency, memory management, and I/O subsystems.
• 2-4 years of experience in systems-level software development, such as databases, networking, kernel, drivers, RTOS, embedded, or firmware.
• Experience shipping and deploying performance-critical systems in production environments.
• Self-motivated problem solver – you know when to execute, when to ask for help, and how to drive projects to completion.

Preferred Qualifications

• Experience with large distributed systems software internals, such as Lustre or Ceph.
• Knowledge of the CAP theorem and/or distributed consensus protocols (Paxos, Raft, etc.).
• Familiarity with low-level performance optimization techniques for high-throughput data processing.
• Knowledge of ACID, consistency models and indexing techniques.
• Experience with filesystems or Linux kernel development or tuning.
• Familiarity with PCIe, NVMe, DMA, RDMA, epoll, io_uring, or other low-level interfaces.

Aerospike is an Equal Opportunity Employer. We are committed to providing an environment free from discrimination on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 6+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

Reports To

NOC Delivery Manager

What You Will Be Doing

• NOC Support Engineers will provide technical expertise in resolving and fixing the problems arising in the ChargePoint's array of Charging stations.
• You have to define and diagnose resolutions for the issues and drive resolution of charging stations faults, and systematically reduce critical outages and improve overall uptime of the Charging Stations.
• You will be analyzing, diagnosing, isolating and resolving problems and documenting your analysis in the case notes.
• You will also work collaboratively with other services teams.
• You learn and understand the various technological aspects of different models of the ChargePoint Charging stations and will handle the situation and drive towards faster resolution.
• You will work in a ITIL service lifecycle Framework and ensure MTTR and MTBF are achieved.
• You will Create technical documentation and make improvements to processes and procedures.
• Perform proactive preventative maintenance for both hardware and software.
• You will work in a Shift that spans 24 hours in various shift timings and you will work from the Office all 5 days of the week.

What You Will Bring to ChargePoint

• Tenacious commitment to customer focused support
• Comfort with making complex decisions and excited by "thinking outside the box"
• Must have exceptional troubleshooting and advanced analytical thinking skills for complex issue resolution between hardware/software components
• Ability to accurately convey complex concepts in easily digestible communications both verbally and in writing
• Proven experience in driving initiatives, cross-functional collaborations, and holding others accountable to expectations
• Account management skills including investigating and understanding current and historical issues for specific accounts
• Maintains effectiveness when experiencing major changes in personal work tasks or work environment; adjusts effectively to work within new work structures, processes, requirements, or cultures
• Ability to work effectively and complete tasks/projects with minimal supervision
• Proactively identify areas of product improvement including design enhancements, failure analysis, and quality control
• Focuses and guides self in accomplishing work objectives
• Deals effectively with others in antagonistic situations, using appropriate interpersonal styles and methods to reduce tension or conflict
• Actively appreciates and includes the diverse capabilities, insights, and ideas of others and working effectively and respectfully with individuals of diverse backgrounds, styles, abilities, and motivation
• Sets high standards of performance for self; assuming responsibility and accountability for successfully completing assignments or tasks; self-imposing standards of excellence rather than having standards imposed

Requirements

• Minimum of 6 years in a technical support environment for complex hardware and software solutions
• Working experience, certifications, or bachelor’s degree in technical field
• The ideal candidate should be from any of the following experience - Network engineer - Systems engineer – Linux, Unix or Windows engineer - Backup or Storage engineer - Electrical or Electronics engineer - Technical Support engineer who has ability to understand and diagnose the technical aspect in any technological domains.
• The ideal candidate should have previous exposure and working knowledge into CLI interface of more or more flavors of Linux (ex: RedHat, Ubuntu etc). The candidate can also have working experience in Unix.
• The ideal candidate is well versed in Industry standards practices and solutions.
• The candidate should have good exposure and understanding of the Operational processes of Incident Management, Change Management and Problem Management.
• Understand the ITIL or any other operations Service lifecycle frameworks or Project management or quality frameworks.
• Desirable to have candidates with well versed knowledge in Microsoft Word, Excel and Powerpoint.
• Its desirable if the candidate has knowledge on Power distribution and/or power electronics fundamentals, familiarity with AC/DC EV charging protocols: CCS, CHAdeMO, J1772 etc.
• The candidate should be an excellent communicator with skills in Documentation and creating knowledge articles.
• Desirable to have worked in CRM tools like Salesforce, Servicenow, Jira etc.
•  

Location

Bangalore, India

Software Engineer II, Backend

Job Overview:

As a Backend Developer, you will be crucial in the development, optimization, and maintenance of the server-side logic for our cloud-based SaaS applications. You will work closely with front-end developers to ensure system consistency and improve user experience. Your role will focus on writing clean, scalable code to enhance the functionality and performance of our applications.

Responsibilities:

• Develop and maintain scalable and robust backend services and APIs.
• Collaborate with front-end developers to integrate user-facing elements with server-side logic.
• Optimize applications for maximum speed and scalability.
• Implement security and data protection measures.
• Design and implement data storage solutions.
• Manage cutting-edge technologies to improve legacy applications.
• Gather and address technical and design requirements.
• Build reusable code and libraries for future use.
• Liaise with developers, designers, and system administrators to identify new features.

• Write clean, modular, and well-documented code following best practices and coding standards.
• Design and manage databases, including schema creation, queries, and optimization for relational or NoSQL databases.

• Develop and execute unit tests to ensure code quality, reliability, and robustness.
• Maintain technical documentation and participate in code reviews to foster knowledge sharing and uphold code quality.
• Optimize application performance and troubleshoot system issues to improve functionality.
• Follow emerging technologies and frameworks.

Qualifications:

• Bachelor’s degree in computer science, Engineering, or a related field.
• 5 to 8 years of experience as a backend developer
• Proven experience as a Backend Developer or similar role.
• Experience with server-side languages such as Node.js, Python or Java.
• Familiarity with front-end languages and libraries (e.g., HTML/CSS, JavaScript, XML, jQuery).
• Good Understanding of Microservices architecture.
• Hands-on experience with database technology such as MySQL.
• Deep understanding of microservices architecture and RESTful API design.
• Strong understanding of version control tools like Git.
• Familiarity with cloud platforms like AWS, and CI/CD tools.
• Some experience with Data streaming technologies like Kafka and Spark streaming for large scale data processing
• Good problem-solving skills and ability to perform well in a team-oriented environment.
• Proficient understanding of code versioning tools, such as Git.

  Nice to Have :

• Experience with Docker / Kubernetes
• Experience collaborating with remote teams across time Zones.
• Familiarity with Agile development methodologies.

About Picarro:

We are the world's leader in timely, trusted, and actionable data using enhanced optical spectroscopy. Our solutions are used in a wide variety of applications, including natural gas leak detection, ethylene oxide emissions monitoring, semiconductor fabrication, pharmaceutical, petrochemical, atmospheric science, air quality, greenhouse gas measurements, food safety, hydrology, ecology, and more. Our software and hardware are designed and manufactured in Santa Clara, California and are used in over 90 countries worldwide based on over 65 patents related to cavity ring-down spectroscopy (CRDS) technology and are unparalleled in their precision, ease of use, and reliability.

At Picarro, we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, or disability. Posted positions are not open to third-party recruiters/agencies, and unsolicited resume submissions will be considered free referrals. 

At Picarro, we strive to ensure that all individuals, regardless of their abilities, have equal opportunities. If you are an individual with a disability and require reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, please contact Picarro, Inc. at disabilityassistance@picarro.com for assistance. 

SR. SUPPLIER DEVELOPMENT ENGINEER (STARLINK)

SpaceX is leveraging our experience building rockets and spacecraft to deploy Starlink, the world’s largest satellite constellation and most advanced broadband internet system. We provide reliable and fast internet to millions of users worldwide, including populations with little or no connectivity, rural communities, aircraft, watercraft, and places where existing services are unreliable, too expensive, or disconnected by natural disasters. We design, build, test, and operate all parts of the system, thousands of satellites and consumer antennae that allow users to connect within minutes of unboxing. The Starlink team is seeking out the best-in-class professionals to maximize Starlink’s potential for communities and businesses around the globe.

This is a high-profile, cross-functional position that plays an integral role in enabling development and production flow of Starlink user terminals. You will work in close coordination with internal engineering and manufacturing departments as well as directly with suppliers to execute effective, creative, and smart supply chain strategies to achieve production goals. With integration taking place in-house, supplier development engineers are able to see their assemblies come to life every day!

RESPONSIBILITIES:

• Improve quality, cost, delivery, and capacity metrics for mechanical hardware used in Starlink user terminals
• Collaborate with design, materials, and manufacturing engineers to gain an in-depth knowledge of piece part, assembly, metrology, and/or sub-system design intent
• Support the procurement team to strategically source parts matched with supplier competencies by reviewing and assessing supplier manufacturing processes and quality systems
• Create and define supplier technical and quality requirements based on customer and program requirements and expectations for NPI and production phases
• Lead resolution of supplier quality issues through root cause analysis, while functioning as liaison between purchasing, engineering, production, and suppliers
• Define product technical requirements, and ensure supplier compliance with these requirements
• Implement and monitor the production part approval process (PPAP) with selected suppliers to enable rate production
• Analyze supplier quality and delivery metrics to identify trends and pinpoint systemic performance gaps and root causes to drive supplier improvement plans
• Conduct independent research to identify potential new suppliers and capabilities in manufacturing and metrology
• Identify and drive product & process improvements to lower part cost, reduce supply risk, eliminate potential defects, and improve cycle time
• Effectively manage mission-critical supply chain by establishing excellent working relationships and regular lines of communication with suppliers
• Demonstrate a strong sense of ownership, proactivity, technical excellence, creativity, self-direction, and courage
• Collaborate with teams, lead projects, and continuously drive improvement in the supply base

BASIC QUALIFICATIONS:

• Bachelor’s degree in an engineering discipline
• 6+ years of experience in one of the following: supply chain engineering, supplier development/quality, manufacturing, design engineering

PREFERRED SKILLS AND EXPERIENCE:

• Master’s degree in and engineering discipline, business, or supply chain
• 10+ years of experience in one of the following: supply chain engineering, supplier development/quality, manufacturing, design engineering
• Proven track record of taking ownership of projects, negotiating successfully to reduce costs, and influencing engineering customers to drive results
• Knowledge of statistical techniques and methods (design of experiments, Six Sigma, etc.)
• Proficiency in Geometric Dimensioning and Tolerancing (GDT) principles and applications
• Knowledge of metrology tools and techniques for measuring and characterizing mechanical parts
• Knowledge of lean, production, and supply chain concepts
• Exceptional analytical, problem-solving, time management, and organizational skills
• Ability to act quickly in a fast-moving and high-stress environment

ADDITIONAL REQUIREMENTS:

• Must be willing to work extended hours and weekends as needed to meet critical deadlines
• Ability to travel: Up to 50% work week travel may be required
• Valid driver’s license

The Challenge 

We are hiring a DevOps Engineer who will collaborate between our Engineering and Cloud Ops teams. DevOps Engineers build out the automated infrastructure and tooling for development, testing and production environments. DevOps Engineers contribute to productizing new software by developing installation, deployment and maintenance scripts.

Your Mission 

Role : Senior Software Development Engineer in Test (SDET)

Experience : 2- 5 years

Location : Bangalore

About Netradyne:

Netradyne provides AI-powered technologies for fleet management and safer roads. An award-winning industry leader in fleet safety and video telematics solutions, Netradyne empowers thousands of commercial fleet customers across North America, Europe, and Asia to enhance their driver performance, reduce risk, and optimize operations.

Netradyne sets the standard among transportation technology companies for enhancing and sustaining road safety, with an industry-leading 25+ billion miles vision-analyzed for risk and an industry-first driver scoring system that reinforces safe behaviors. Founded in 2015, Netradyne is headquartered in San Diego with offices in San Francisco, Nashville, the UK and Bangalore.

For more details visit: www.netradyne.com

ROLE OVERVIEW

We are looking for a motivated and experienced Senior SDET to join our Engineering Quality team in Bangalore. In this role, you will own and drive the quality of our IoT device and software ecosystems — building robust test frameworks, validating hardware-software integrations, and ensuring our fleet safety products deliver consistent, reliable performance in real-world conditions. You will collaborate closely with hardware engineers, firmware developers, backend engineers, and product teams.

KEY RESPONSIBILITIES

• IoT Device Validation: Design and execute end-to-end test plans to validate hardware and software modules of IoT devices, including firmware behaviour, sensor integrations, and communication interfaces.
• Test Automation: Develop and maintain automated test scripts and suites that verify device functionality across real-time operating conditions, edge cases, and failure scenarios.
• Simulation & Emulation: Build tooling to simulate real-world IoT device conditions to verify device resilience without solely relying on physical test environments.
• Data Analysis & Anomaly Detection: Monitor, query, and analyse large-scale device datasets and telemetry logs to proactively detect anomalies, regressions, and performance degradation.
• Framework Development: Contribute to the architecture and continuous improvement of the in-house test automation framework — making it extensible, maintainable, and reusable across teams.
• CI/CD Integration: Integrate automated tests into CI/CD pipelines to enable rapid feedback on every build and release cycle.
• Defect Management: Identify, document, and triage defects with clear reproduction steps and root-cause analysis; track issues to resolution in collaboration with development teams.
• Process Improvement: Champion quality best practices — code reviews, test coverage standards, and shift-left testing approaches.

MANDATORY SKILLS

PREFERRED SKILLS

• Experience testing IoT or embedded Linux-based devices.
• Exposure to AI/ML-driven products or large-scale telemetry data pipelines.
• Familiarity with Agile / Scrum development methodologies.
• Proficiency with Git and collaborative code-review workflows.

EXPERIENCE & QUALIFICATIONS

• Bachelor's or Master's degree in Computer Science, Electronics, or a related engineering discipline.
• 2–4 years of experience in SDET, or quality engineering roles.
• Demonstrated experience building or contributing to test automation frameworks from scratch.
• Prior experience testing IoT, embedded, or hardware-software integrated systems is a strong advantage.

Equal Opportunity Employer Statement: Netradyne is an equal opportunity employer and are committed to creating an inclusive environment for all employees.

Additional Information: This position is based out in HM Tech Park, Whitefield Bangalore.

Follow us on LinkedIn: For more information on our work culture, follow us on Netradyne: My Company | LinkedIn

The Challenge 

We are hiring a DevOps Engineer who will collaborate between our Engineering and Cloud Ops teams. DevOps Engineers build out the automated infrastructure and tooling for development, testing and production environments. DevOps Engineers contribute to productizing new software by developing installation, deployment and maintenance scripts.

Your Mission 

The Challenge 

We are hiring a DevOps Engineer who will manage development and production environments. This person will contribute to productizing new software by developing installation, deployment and maintenance scripts.  

Your Mission 

Roles and Responsibilities

• Troubleshoot issues across the entire stack - hardware, software, application, and network
• Work to improve the reliability and performance of the next generation of distributed systems and containerized deployments
• Diagnose and troubleshoot complex distributed systems handling millions of queries per second
• Day-to-day work is heavily command-line driven, which requires a strong understanding of Linux.
• Participate in on call rotation Design build and maintain core infrastructure that enables Phonepe scaling to support hundreds of thousands of concurrent users
• Actively take part in the Analysis and System improvement plan.
• Drive performance testing, capacity planning and high availability practices.
• Own implementations of new technologies while ensuring proper testing and documentation.
• Proactively monitor/identify/solve issues which could have a potential impact to our Infrastructure.
• Natural team player and also have a resourceful attitude.
• Buddy new team members, and get them production ready.

Skills Required

• Minimum of 7-13 years of strong hands-on experience in Linux / Unix System Administration, including TCP/IP, DNS, and load balancers.
• Expertise in managing and scaling proxy infrastructure, including configuring and optimizing
  proxies (e.g. Nginx, HAProxy). 
• Knowledge in Database technologies, specifically in MySQL/NoSQL. Good to have exposure on Aerospike NoSQL.
• In-depth knowledge in Python to automate tasks with minimal intervention.
• Knowledge of Linux cloud services using kvm/qemu/lvm.

ChargePoint is looking for an AI Engineer who will  design, development, and operation of production‑grade Generative AI systems. You will architect and deliver LLM‑powered applications, including Copilot‑style experiences, AI agents, and automation at enterprise scale.

You will operate with high autonomy, own complex technical initiatives end‑to‑end, and influence GenAI architecture and standards across teams.

Reports To

Senior Manager-Information Security

What You Will Be Doing

As an AI Engineer, you will:

What You Will Bring to ChargePoint

• Proven ability to own ambiguous, complex problem spaces
• Experience influencing architecture and technical direction beyond your immediate team
• Strong system design and debugging skills for distributed AI systems
• Ability to balance speed, quality, and risk in production AI deployments
• Passion for building scalable, maintainable, and responsible AI platforms
• Strong communication skills with engineers, product managers, and leadership

Requirements

• 4 plus years of professional software engineering experience
• Strong development skills in Python (required); experience with Java, Go, or TypeScript is a plus
• Deep hands‑on experience with LLMs and Generative AI systems
• Strong experience with RAG, embeddings, vector search, and prompt engineering
• Experience building Copilot‑style or agent‑based AI systems
• Strong understanding of distributed systems, APIs, and microservices
• Experience deploying and operating systems using Docker/Kubernetes
• Experience with Azure, AWS, or GCP
• Familiarity with LLMOps / MLOps practices

Good to Have

• Experience with AI governance, compliance, or regulated enterprise environments
• Experience with vector databases and retrieval optimization
• Prior ownership of AI systems running in production at scale

Location

Remote location in India

Job Title : Staff Engineer - Hardware

Experience - 6 to 10 years

About Netradyne:

Netradyne provides AI-powered technologies for fleet management and safer roads. An award-winning industry leader in fleet safety and video telematics solutions, Netradyne empowers thousands of commercial fleet customers across North America, Europe, and Asia to enhance their driver performance, reduce risk, and optimize operations.

Netradyne sets the standard among transportation technology companies for enhancing and sustaining road safety, with an industry-leading 25+ billion miles vision-analyzed for risk and an industry-first driver scoring system that reinforces safe behaviors. Founded in 2015, Netradyne is headquartered in San Diego with offices in San Francisco, Nashville, the UK and Bangalore.

For more details visit: www.netradyne.com

Job Overview: As a Staff Engineer at Netradyne, you will lead the development and testing of our next-generation products. You will collaborate with cross-functional teams to deliver a high quality and reliable product in a fast-paced environment.​

Key Responsibilities:​

• Responsible for designing/reviewing high-speed system hardware, e.g. CPU, LPDDR4/4x, MIPI-CSI/DSI, SDIO, eMMC/UFS, FGPA/CPLD, LDO, SMPS, POL and Industry Standard buses (I2C, SPI, UART, PDM for DMICs, I2S and CAN).​
• Should have knowledge of design Schematics, PCB, and Gerber reviews​
• Design experience in QCOM, NVIDIA platform will be added advantage.​
• Working with Software team in solving system level issues.​
• Hands-on experience on bring-up/ Field installed system debugging for products.​
• Hands on experience in qualification of systems (ESS/ EMI / EMC) ​
• Working with cross functional teams like Mechanical, ECAD, BSP, CE, SCM.​
• Understanding of cellular technologies like GSM, LTE, 5G etc.​
• Get experience in test and measurement equipment including High End Oscilloscope, Logic/Spectrum/Vector Network analyzers​
• Support for Manufacturing for Reliable production quality. ​
• Design to support test development and strategy like PTS and provide sustaining test support throughout the product life cycle.​

Mandatory Skills:​

• Bachelor’s degree in ECE or EEE.​
• 6 + years of experience in Hardware development.​
• Proficiency in tools Orcad, Mentor, Cadence
• Strong problem-solving and debugging skills

Preferred Skills:​

• Prior experience in working with Product Companies.​
• Experience with Camera sensors and AI processors

Equal Opportunity Employer Statement: Netradyne is an equal opportunity employer and are committed to creating an inclusive environment for all employees.

Additional Information: This position is based out in HM Tech Park, Whitefield Bangalore.​

Follow us on LinkedIn: For more information on our work culture, follow us on Netradyne: My Company | LinkedIn​

Senior Engineer, QA

Location: Bengaluru, Karnataka, India (Hybrid)

Job Term: Full-Time

The Opportunity:

Picarro is seeking an exceptional Sr. QA Engineer to join our team and ensure the quality of our flagship product suite. This transformational data analytics platform enables comprehensive natural gas pipeline leak and upstream emission surveys across the entire natural gas industry supply chain, from wellhead to consumer.

Responsibilities:

• Design, develop, and scale mobile-first automated testing strategies to ensure high-quality iOS and Android applications.
• Build and maintain robust mobile automation frameworks using tools like Appium, ensuring cross-platform coverage.
• Develop automated test suites for UI, API, and end-to-end mobile workflows, including device-level interactions.
• Perform mobile performance, load, and reliability testing, including network variability and real-world usage conditions.
• Create and execute test plans and test cases tailored to mobile app behavior, device fragmentation, and OS-specific nuances.
• Define and manage mobile test data, including device states, user scenarios, and environment configurations.
• Execute automated and exploratory tests on real devices and emulators/simulators, identifying defects, edge cases, and usability issues.
• Integrate automated tests into CI/CD pipelines to enable continuous testing and rapid feedback on mobile builds.
• Configure and manage mobile test environments, including device farms (cloud or on-prem).
• Collaborate closely with developers, product managers, and designers to ensure high-quality mobile user experiences.
• Participate in code reviews, sprint planning, and Agile ceremonies, advocating for testability and automation best practices.
• Drive improvements in automation coverage, stability, and execution speed for mobile platforms.

Qualifications:

Required Qualifications:

• Education: Bachelor’s degree in Computer Science, Engineering, or related field.
• Experience: 7+ years in QA with a strong emphasis on mobile test automation Mobile Automation

Expertise:

• Strong hands-on experience with Appium.
• Experience testing native, hybrid, and mobile web applications.
• Deep understanding of mobile OS behaviors, device fragmentation, and platform-specific challenges.
• Proficiency in Java (preferred) or similar languages for automation development.

Automation & API Testing:

• Experience building scalable automation frameworks for mobile UI and backend validation.
• Strong expertise in API testing (RESTful services) and integration with mobile workflows.

Performance & Reliability:

• Experience testing mobile app performance, including latency, battery usage, and network conditions.

Tools & Infrastructure:

• Familiarity with test management tools (JIRA, TestRail, etc.).
• Experience with Git and CI/CD pipelines, especially for mobile build and test automation.
• Exposure to device farms (e.g., BrowserStack, Sauce Labs, or in-house solutions).

Agile & Collaboration:

• Strong problem-solving skills with attention to detail.
• Proven ability to work in Agile environments and contribute to QA best practices.
• Excellent communication skills with a proactive, collaborative mindset.

Good to Have:

• Experience with real-time data validation using messaging systems like Kafka.
• Familiarity with NoSQL databases for backend validation.
• Experience testing mobile apps integrated with hardware devices or IoT systems.

About Picarro:

Picarro, Inc. is the world's leading producer of greenhouse gas and optical stable isotope instruments, which are used in a wide variety of scientific and industrial applications, including: atmospheric science, air quality, greenhouse gas measurements, gas leak detection, food safety, hydrology, ecology and more. The company's products are all designed and manufactured at Picarro's Santa Clara, California headquarters and exported to countries worldwide. Picarro's products are based on dozens of patents related to cavity ring-down spectroscopy (CRDS) technology. Picarro's solutions are unparalleled in their precision, ease of use, portability, and reliability.

Honors awarded to the Company include the World Economic Forum of Technology Innovation Pioneer, IHS CERA Energy Innovation Pioneer, the U.S. Department of Energy Small Business of the Year, the TiE50 Winner and the Red Herring Global 100 Winner. Key investors include Benchmark Capital Partners, Greylock Management Corporation, Duff, Ackerman & Goodrich, Stanford University, Focus Ventures, Mingxin China Growth Ltd., Ntt finance and Weston Presidio Capital.

All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, nor on the basis of disability.

Posted positions are not open to third part recruiters/agencies and unsolicited resume submissions will be considered free referrals.

Black Duck maintains the world's largest and most comprehensive knowledge base of open-source software intelligence. Built over two decades, this knowledge base encompasses extensive data on open-source components, vulnerability intelligence, software licensing, and associated metadata. This data powers critical security decisions worldwide and forms the foundation of our industry-leading software composition analysis and AI-powered security solutions.

Brief about the role:

We are seeking an experienced IT Desktop Engineer to oversee all technology operations at our Bengaluru facility. This role is responsible for managing the day-to-day IT activities on-site, including desktop support (Windows & Mac), infrastructure, networking, and systems administration. The IT Desktop Engineer will serve as both a hands-on technical resource and a leader, ensuring reliable IT services while aligning with corporate IT strategy.

Qualifications:

• Bachelor’s degree in information technology, Computer Science, or a related field (or equivalent experience).
• 5+ years of IT experience, with exposure to both desktop support and infrastructure management.
• Strong technical knowledge of Windows and Mac OS, Microsoft 365, Okta, networking, and hardware troubleshooting.
• Hands-on networking experience.
• Proven ability to balance hands-on IT support with local leadership.
• Excellent communication and interpersonal skills, with the ability to support users at all levels of the organization.
• Strong understanding of IT security best practices.
• Relevant certifications (e.g., CompTIA A+/Network+, Microsoft, Cisco, ITIL) are a plus.

Key Responsibilities:

• Manage daily IT operations for the Bangalore site, including desktop support, infrastructure, networking, servers, endpoints, and applications.
• Provide hands-on IT support for end users, including hardware, software, and peripheral troubleshooting, ensuring timely resolution of incidents and service requests.
• Act as the primary escalation point for technical issues at the site.
• Lead and support a local IT team (where applicable), providing guidance, training, and performance management.
• Implement and enforce IT policies, procedures, and security protocols to align with corporate standards.
• Oversee system upgrades, patches, and hardware/software deployments.
• Collaborate with Global Infrastructure and Operations teams to plan and execute corporate initiatives at the site level.
• Maintain IT asset inventory, manage procurement, and oversee lifecycle management for desktops, laptops, and related equipment.
• Partner with business leaders to understand technology needs and deliver effective IT solutions.
• Ensure compliance with regulatory, security, and data protection requirements.
• Monitor IT performance metrics and provide reporting to senior IT leadership.
• Manage local vendor relationships and service contracts.

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

• End-to-End Ownership: Drive RTL-to-GDSII implementation, including floorplanning, placement, CTS, routing, and physical verification (LVS/DRC/ERC).
• Performance Optimization: Execute high-performance design closure focusing on PPA (Power, Performance, Area) targets in advanced process nodes ( 3nm or below)
• Static Timing Analysis (STA): Perform comprehensive timing closure, including signal integrity, crosstalk analysis, and CPPR (Common Path Pessimism Removal) optimization.
• Power Integrity: Conduct IR-drop analysis (Static/Dynamic) and EM (Electromigration) checks to ensure robust power delivery.
• Innovation: Develop and integrate AI/ML-based automation scripts to optimize the physical design flow and reduce turnaround time.

• Education: B.Tech/M.Tech in Electrical/Electronics Engineering from a Top Tier University.
• Experience: 2–4 years of hands-on experience in Physical Design within the semiconductor industry.
• Tool Expertise: Expert-level proficiency in industry-standard tools (Preferred Innovus).
• Technical Depth: Strong understanding of multi-corner multi-mode (MCMM) closure, low-power design techniques (UPF/CPF), and physical verification.
• Mindset: A proven "go-getter" who is diligent, detail-oriented, and capable of taking complete ownership of blocks under tight deadlines.
• The "Plus": Proficiency in Python/Tcl and experience using AI/ML models for EDA tool automation or predictive PPA analysis.
• Location: Bangalore

Job Title: Engineer - Middleware (Linux Systems)
Location: Bangalore
Experience: 1–3 Years

About Netradyne

Netradyne is a fast-growing AI and edge computing company transforming fleet safety and driver behavior analytics through cutting-edge vision-based technology. Our solutions leverage deep learning, embedded systems, and cloud platforms to deliver real-time insights and improve road safety globally.

Key Responsibilities

• Design and implement middleware components and services on Linux-based platforms
• Develop and optimize IPC mechanisms (e.g., sockets, message queues, shared memory, DBus)
• Work on system daemons, service orchestration, and resource management modules
• Collaborate with cross-functional teams including hardware, firmware, and application layers
• Perform code reviews, unit testing, integration testing, and performance tuning
• Ensure software reliability, maintainability, and scalability
• Debug and resolve system issues across middleware and lower layers
• Contribute to system architecture and design discussions

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electronics
• 1- 3  years of experience in system software development on Linux

Required Skills

• Strong C/C++ programming skills
• Solid understanding of Linux internals (process/thread model, scheduling, memory management, IPC)
• Experience with IPC mechanisms like message queues, shared memory, semaphores, and DBus
• Familiarity with system, udev, init scripts, and service management on Linux
• Proficiency in multithreading and synchronization concepts.
• Experience working with build systems like CMake, Make, Yocto

Preferred/Bonus Skills

• Experience in embedded Linux, socket programming, video streaming, Bluetooth programming
• Hands-on with tools like GDB, Valgrind, strace, perf
• Scripting knowledge (Bash, Python, etc.)
• Exposure to security frameworks and hardening for Linux based systems
• Familiarity with container technologies (Docker, Kubernetes)
• Contributions to open source Linux projects

Why Join Netradyne?

• Work on cutting-edge AI and edge computing products
• Opportunity to solve complex real-world problems at scale
• Collaborative and innovation-driven work culture
• High ownership and visibility across teams

At Tekion, we’re building the only cloud -native platform that is transforming the automotive retail industry, leap frogging it into the future and providing unparalleled customer experience. We’re creating seamlessly integrated, elegant, and intuitive solutions built with cutting edge technology and powered by Big Data, Machine Learning (ML)/ AI and Internet of Things (Connected vehicle to connected devices). We’re harnessing passion, entrepreneurial spirit, deep industry expertise and the latest technologies to create something very special. We’re inventing new technology along the way to overcome barriers and solve big problems, all while having a blast doing it!

Core Responsibilities:
• Taking ownership of customer issues reported and seeing problems through to resolution
• Researching, diagnosing, troubleshooting, and identifying solutions to resolve system issues
• Following standard procedures for proper escalation of unresolved issues to the appropriate internal teams
• Ability to understand the application both functionally and technically
• Ref er to internal database or external resources to provide accurate tech solutions
• Ensure all issues are properly logged
• Prioritize and manage several open issues at one time
• Prepare accurate and timely reports
• Document technical knowledge in the form of notes and manuals

Required Skills:
• Experience as an Application/Product/Customer Support Engineer.
• Ability to learn and master employer-specific software
• Complex problem solving
• Written and verbal communication skills
• Ability to diagnose & address application issues
• Basic understanding of IoT and software - preferred not mandatory
• Candidate should be ready for rotational shift perks and benefits

Hands on experience on chats / Ticketing tools

Job Title: Senior Engineer - Middleware (Linux Systems)
Location: Bangalore
Experience: 3–6 Years

About Netradyne

Netradyne is a fast-growing AI and edge computing company transforming fleet safety and driver behavior analytics through cutting-edge vision-based technology. Our solutions leverage deep learning, embedded systems, and cloud platforms to deliver real-time insights and improve road safety globally.

Key Responsibilities

• Design and implement middleware components and services on Linux-based platforms
• Develop and optimize IPC mechanisms (e.g., sockets, message queues, shared memory, DBus)
• Work on system daemons, service orchestration, and resource management modules
• Collaborate with cross-functional teams including hardware, firmware, and application layers
• Perform code reviews, unit testing, integration testing, and performance tuning
• Ensure software reliability, maintainability, and scalability
• Debug and resolve system issues across middleware and lower layers
• Contribute to system architecture and design discussions

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electronics
• 3 to 6 years of experience in system software development on Linux

Required Skills

• Strong C/C++ programming skills
• Solid understanding of Linux internals (process/thread model, scheduling, memory management, IPC)
• Experience with IPC mechanisms like message queues, shared memory, semaphores, and DBus
• Familiarity with system, udev, init scripts, and service management on Linux
• Proficiency in multithreading and synchronization concepts.
• Experience working with build systems like CMake, Make, Yocto

Preferred/Bonus Skills

• Experience in embedded Linux, socket programming, video streaming, Bluetooth programming
• Hands-on with tools like GDB, Valgrind, strace, perf
• Scripting knowledge (Bash, Python, etc.)
• Exposure to security frameworks and hardening for Linux based systems
• Familiarity with container technologies (Docker, Kubernetes)
• Contributions to open source Linux projects

Why Join Netradyne?

• Work on cutting-edge AI and edge computing products
• Opportunity to solve complex real-world problems at scale
• Collaborative and innovation-driven work culture
• High ownership and visibility across teams

Job Title : QA Engineer – IoT Devices
Work Model : (5 days)WFO
Experience Required : 1- 3 years  

About Netradyne:

Netradyne provides AI-powered technologies for fleet management and safer roads. An award-winning industry leader in fleet safety and video telematics solutions, Netradyne empowers thousands of commercial fleet customers across North America, Europe, and Asia to enhance their driver performance, reduce risk, and optimize operations.

Netradyne sets the standard among transportation technology companies for enhancing and sustaining road safety, with an industry-leading 25+ billion miles vision-analyzed for risk and an industry-first driver scoring system that reinforces safe behaviours. Founded in 2015, Netradyne is headquartered in San Diego with offices in San Francisco, Nashville, the UK and Bangalore.

For more details visit: www.netradyne.com

Job Overview:

We are looking for a QA Engineer to validate IoT devices across both hardware and software layers, with a strong focus on data‑intensive validation and real‑world operating conditions. The role requires hands‑on testing, automation, and analysis to ensure the reliability, performance, and quality of IoT systems at scale.

Roles and Responsibilities

As a QA Engineer, you will be responsible for:

• Validating IoT devices, including hardware modules and embedded software components
• Designing and implementing test scripts and automated validations to verify end‑to‑end device functionality
• Developing code snippets and simulations to validate device behaviour under varied real‑time and edge conditions
• Executing data‑driven testing by monitoring, analysing, and validating large data sets generated by IoT devices
• Building and enhancing systems or frameworks to proactively detect issues, anomalies, and regressions from data
• Collaborating closely with development and cross‑functional teams to identify defects early and improve overall product quality

Required Qualifications

• Strong programming skills in Python and Shell Scripting (mandatory)
• Hands‑on experience working with IoT devices or connected systems
• Experience in Big Data testing, data validation, or data quality analysis
• Exposure to testing methodologies including TDD and non‑functional testing (performance, reliability, scalability, etc.)
• Experience working with build systems and CI/CD pipelines

Desired Skills and Experience

• Hands‑on experience in developing or maintaining test frameworks
• Experience with embedded device testing
• Strong understanding of functional, integration, regression, usability, security, and performance testing
• Ability to derive test strategies, test approaches, and test plans for complex systems

Nice to Have

• Prior experience in IoT, automotive, or device‑centric domains
• Familiarity with Linux‑based environments and system‑level debugging

Equal Opportunity Employer Statement: Netradyne is an equal opportunity employer and are committed to creating an inclusive environment for all employees.

Additional Information: This position is based out in HM Tech Park, Whitefield Bangalore.​

Follow us on LinkedIn: For more information on our work culture, follow us on Netradyne: My Company | LinkedIn​

Senior Software Engineer Key-Value Engine

The Key-Value Engine is the component at the center of the Couchbase universe. It is responsible for storing and managing data, delivering low latency ops at high scale, supporting intra and cross-cluster replication for high availability and replicating documents to downstream clients. 

You’ll be part of a team of high caliber individuals focused on improving performance and scale as you help us push back boundaries: such as a more flexible and powerful protocol, higher-performance caching, richer data structures, more scalable infrastructure and distributed transactions. You’ll work in C++ (and sometimes C), and from time-to-time read Golang, Erlang, and Python. You’ll work on problems that build on your knowledge of concurrency, networking and your software engineering skills to extract maximum performance from the hardware and kernel.

What Will You Do?

• With your team, you’ll help build the world’s fastest, most scalable, richly-functional key-value engine.
• Discuss and debate with your peers and Product Management as you determine key requirements and the architectural approach to get things built.
• Collaborate with Technical Support to help debug and resolve high-priority customer issues.
• Design and implement needle-mover features with simplicity, elegance and economy.
• Think quality and leverage. Develop high-quality software with unit, component, and end-to-end automation tests.

About You

• BS or MS in Computer Science or equivalent experience in an associated field.
• You’re a self-motivated, independent, and high-performance person. You learn quickly and you enjoy worthy challenges.
• You have very strong C++ skills and enjoy leveraging this powerful language to build high-performance, maintainable software systems. 
• You have 4+ years of experience writing production-quality C++ code.
• You’re an excellent communicator: specific, thoughtful and clear.
• You are a humble, emotionally intelligent person and a great teammate to collaborate with.
• You can balance producing elegant, efficient, high-quality code with a pragmatic approach that ensures timely delivery.

Aerospike is the real-time database for mission-critical use cases and workloads, including machine learning, generative, and agentic AI. Aerospike powers millions of transactions per second with millisecond latency, at a fraction of the total cost of ownership compared to other databases.

Global leaders, including Adobe, Airtel, Barclays, Criteo, DBS Bank, Experian, Grab, HDFC Bank, PayPal, Sony Interactive Entertainment, The Trade Desk, and Wayfair, rely on Aerospike for customer 360, fraud detection, real-time bidding, profile stores, recommendation engines, and other use cases. 

Headquartered in Mountain View, California, with offices in London, Bangalore, and Tel Aviv. Aerospike is the uncontested leader in next-generation, always-on, hyperscale data solutions. Unlike legacy NoSQL systems, our patented Hybrid Memory Architecture unlocks today’s hardware to deliver unimaginable performance and value for the most demanding data workloads—from the edge to the core, to the cloud.

As a Senior Software Engineer at Aerospike, you will play a pivotal role in advancing our high-performance, low-latency platform by developing core systems software with a strong emphasis on performance, reliability, and efficiency. Experience with kernel modules or filesystems is a plus, though not a core focus of this role. You will collaborate with project managers, performance engineers, and quality engineers to align development with business needs and ensure quality.

This is a hybrid role.Employees are expected to work from the Bangalore office 2-3 times a week.

Responsibilities

• Design and implement systems-level software, especially in areas related to networking, low-level I/O, and hardware interfaces.
• Develop high-performance, low-latency code for interacting with storage and network hardware.
• Debug and optimize OS-level issues across Linux-based environments.
• Ensure system quality through rigorous testing and benchmarking.
• Work with storage hardware to optimize performance.

Minimum Qualifications

• Fluent in C or C++ with deep understanding of low-level programming and memory management.
• Strong understanding of OS internals – threading, concurrency, memory management, and I/O subsystems.
• 5-8 years of experience in systems-level software development, such as databases, networking, kernel, drivers, RTOS, embedded, or firmware.
• Experience shipping and deploying performance-critical systems in production environments.
• Proficiency in at least one other language: C#, Go, Java, Python, Rust, etc.
• Self-motivated problem solver – you know when to execute, when to ask for help, and how to drive projects to completion.

Preferred Qualifications

• Experience with large distributed systems software internals, such as Lustre or Ceph.
• Knowledge of the CAP theorem and/or distributed consensus protocols (Paxos, Raft, etc.).
• Familiarity with low-level performance optimization techniques for high-throughput data processing.
• Knowledge of ACID, consistency models and indexing techniques.
• Experience with filesystems or Linux kernel development or tuning.
• Familiarity with PCIe, NVMe, DMA, RDMA, epoll, io_uring, or other low-level interfaces.

Aerospike is an Equal Opportunity Employer. We are committed to providing an environment free from discrimination on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

Job Title : Senior Staff Engineer (BSP Engineer)

Company : Netradyne

Location : Whitefield, Bangalore

Employment Type : Full Time

Work Model : On-site (5 days WFO)

Experience Required : 10+ years

About Netradyne:

Netradyne provides AI-powered technologies for fleet management and safer roads. An award-winning industry leader in fleet safety and video telematics solutions, Netradyne empowers thousands of commercial fleet customers across North America, Europe, and Asia to enhance their driver performance, reduce risk, and optimize operations.

Netradyne sets the standard among transportation technology companies for enhancing and sustaining road safety, with an industry-leading 25+ billion miles vision-analyzed for risk and an industry-first driver scoring system that reinforces safe behaviors. Founded in 2015, Netradyne is headquartered in San Diego with offices in San Francisco, Nashville, the UK and Bangalore.

For more details visit: www.netradyne.com

Job Overview: As a Senior Staff Engineer at Netradyne, you will lead the development of cutting-edge software solutions that drive our next-generation products. You will collaborate with cross-functional teams to deliver scalable and reliable software applications in a fast-paced environment.

Key Responsibilities:​

• Design and implement software applications using C, Shell Scripting.​
• Lead code reviews and mentor junior team members.
• Collaborate with product managers to define product requirements.​
• Troubleshoot and debug complex issues in production environments.​
• Implement best practices for software development. 

Mandatory Skills:

• Bachelor’s degree in computer science or related field.
• 10+ years of experience in software development.
• hands-on experience working with embedded systems, linux kernel device driver development, or operating systems.
• Hands-on experience in hardware bring-up using interfaces such as USB, ADC, GPIO, SPI, I2C, Wi-Fi and similar peripherals.
• Proficiency in embedded C, Shell Scripting (Python scripting would ne added adbantages).
• Strong problem-solving skills and ability to work independently.

Preferred Skills:

• Prior experience in working with Product or SaaS Companies.
• Able to Contribute Individually and Mentor Juniors as well.
• Familiarity with Agile development methodologies.

Equal Opportunity Employer Statement: Netradyne is an equal opportunity employer and are committed to creating an inclusive environment for all employees.

Additional Information: This position is based out in HM Tech Park, Whitefield Bangalore.

Follow us on LinkedIn: For more information on our work culture, follow us on Netradyne: My Company | LinkedIn

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

• Timing Convergence Leadership: Drive full-chip SOC timing closure across all corners and modes (func, shift, capture, etc.).
• Cross-Functional Coordination: Partner with Architecture to validate timing feasibility, RTL to optimize logic structures, and DFT to streamline test-mode timing.
• Left-Shift Strategy: Proactively identify and resolve structural timing issues, congestion, and high-latency paths early in the RTL/Synthesis phase to ensure predictable physical design execution.
• Advanced Analysis: Perform complex timing tasks including CPPR/CRPR analysis, NoC (Network-on-Chip) timing, and constraint validation (SDC).
• Automation & Agility: Architect and build sophisticated automation utilities (Tcl, Python, Perl) to accelerate timing sign-off, reduce manual audits, and improve schedule agility.
• PPA Optimization: Drive best-in-class PPA by guiding physical design teams on floorplanning, clock tree synthesis (CTS) strategies, and placement optimizations.

• Experience: 9 to 14 years of hands-on experience in STA and Timing Closure on advanced process nodes (7nm, 5nm, or below).
• Critical Thinking: Proven ability to debug complex timing violations, identify root causes (e.g., data-to-clock skew, crosstalk), and propose architectural or physical solutions.
• Technical Mastery: * Expertise in industry-standard sign-off tools (e.g., PrimeTime, Tempus). Preferable Tempus tool.
• Deep understanding of Multi-Mode Multi-Corner (MMMC) challenges and Hierarchical vs. Flat timing closure.
• Proficiency in SDC/CDC constraints.
• Soft Skills: Strong leadership presence with the ability to influence cross-functional teams and drive execution in a fast-paced environment.
• Education: B.Tech/M.Tech in Electrical/Electronics Engineering or a related field.

What you will be doing

We are looking for a Data Scientist who can operate at the intersection of classical machine learning, large-scale recommendation systems, and modern agentic AI systems.

You will design, build, and deploy intelligent systems that power Glance’s personalized lock screen and live entertainment experiences. This role blends deep ML craftsmanship with forward-looking innovation in autonomous/agentic systems.

Your responsibilities will include:

Classical ML & Recommendation Systems

• Design and develop large-scale recommendation systems using advanced ML, statistical modeling, ranking algorithms, and deep learning.
• Build and operate machine learning models on diverse, high-volume data sources for personalization, prediction, and content understanding.
• Develop rapid experimentation workflows to validate hypotheses and measure real-world business impact.
• Own data preparation, model training, evaluation, and deployment pipelines in collaboration with engineering counterparts.
• Monitor ML model performance using statistical techniques; identify drifts, failure modes, and improvement opportunities.

Agentic Systems & Next-Gen AI

• Build and experiment with agentic AI systems that autonomously observe model performance, trigger experiments, tune hyperparameters, improve ranking policies, or orchestrate ML workflows with minimal human intervention.
• Apply LLMs, embeddings, retrieval-augmented architectures, and multimodal generative models for semantic understanding, content classification, and user preference modeling.
• Design intelligent agents that can automate repetitive decision-making tasks—e.g., candidate generation tuning, feature selection, or context-aware content curation.
• Explore reinforcement learning, contextual bandits, and self-improving systems to power next-generation personalization.

About the Role

As a GPU Systems Engineer, you’ll lead design and optimization efforts across our GPU inference stack.
You will architect the libraries and runtime systems that enable Stable Diffusion, multimodal transformers, and emerging video generation models to run efficiently at scale.

You’ll guide cross-functional teams, influence hardware selection, and set the technical vision for GPU optimization practices across the company.

Key Responsibilities

• Architect high-performance inference runtimes, kernel dispatchers, and memory planners for large diffusion and transformer workloads.
• Lead investigations into cross-GPU performance bottlenecks, communication overheads, and scheduling inefficiencies.
• Drive multi-GPU parallelism strategies — model, pipeline, and tensor parallelization.
• Establish company-wide GPU optimization standards, tooling, and SLIs.
• Collaborate with research to design scalable implementations of novel architectures.
• Mentor engineers in profiling, tuning, and low-level optimization.
• Partner with hardware vendors and infra teams to maximize cluster utilization.

Required Qualifications

• 5+ years in high-performance computing, GPU runtime systems, or ML infrastructure.
• Proven expertise in CUDA / Triton / C++, with deep understanding of GPU scheduling, occupancy, register usage, and tensor cores.
• Experience building and maintaining distributed inference or training systems.
• Ability to design abstractions balancing flexibility and performance.
• Strong knowledge of NCCL, NVLink, PCIe, and interconnects.
• Familiar with profiling automation and performance dashboards.
• Excellent technical leadership and mentoring capabilities.

Preferred Qualifications

• Background in compiler-aided optimization (TVM, XLA, MLIR, Triton).
• Experience tuning Stable Diffusion or transformer inference pipelines.
• Exposure to heterogeneous compute backends (AMD ROCm, TPU, ASICs).
• Experience working with hardware–software co-design initiatives.
• Open-source or research contributions in GPU optimization

Glance - An InMobi Group Company    

Founded in 2019, Glance is a consumer technology company that operates some of the most disruptive digital platforms including Glance, Roposo, and Glance TV. Glance has redefined the way the internet is consumed on the lock screen, removing the need to search for and download apps. Over 400 million smartphones now come enabled with Glance’s next-generation internet experience.   
  
Roposo has revolutionized commerce by launching a destination for creator-led live entertainment commerce. Glance TV is changing the way consumers engage and interact with their televisions.   
  
Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group and is funded by Jio Platforms, Google, and Mithril Capital. For more information, visit glance.com, roposo.com, and inmobi.com.    

  
What should you know about joining Glance?  
 

At Glance, we walk the talk – free yourself, dream big, and chase your passion! On joining, you’ll have opportunities to make an immediate impact on mission-critical projects, as you work with highly capable and ambitious peer groups.   
  

Be rewarded for your autonomy even as you collaborate. Ideate, innovate, and inspire by leveraging bleeding-edge tech to disrupt consumer experiences.   
  

While you work, we’ll take care of nourishing your body, mind, and soul. This includes daily meals, gym, trainings, tech tools, and regular unwind sessions. Also, feel free to bring your kids – even the furry ones – to the office!  

We're building one of the most ambitious platforms in consumer AI — a multi-surface commerce ecosystem spanning lock-screen, mobile, and TV, powered by large-scale GenAI, multimodal inference, and real-time distributed systems.

If you love designing systems that millions interact with daily — often without realizing the engineering magic underneath — this is your playground.

WHAT YOU WILL DO

Architect & Build for Massive Scale

- Own end-to-end design of core platform components at 100K+ QPS, serving tens of millions of users

- Drive innovations across distributed compute, storage, consistency, and failure handling

- Build infrastructure powering:

→ GPU-efficient multimodal inference (image, video, voice)

→ On-device AI + edge personalization

→ Real-time cross-device continuity (Android ↔ TV ↔ Web)

→ Multi-category shopping catalog integrated with GenAI

→ Commerce + ads intelligence optimizing in milliseconds

Lead with Technical Depth

- Guide teams on architecture, code quality, and operational excellence

- Conduct design and code reviews with a high bar for clarity and maintainability

- Mentor engineers and elevate engineering culture

Operate Like an Owner

- Drive features from concept → design → production → on-call → iteration

- Collaborate across product, design, ads, AI/ML, and commerce — no silos

- Balance speed and quality in a high-velocity environment

Think Beyond the Code

- Translate complex engineering into simple narratives for stakeholders

- Anticipate system-wide consequences of design choices

- Shape technical roadmap with business context

WHAT WE EXPECT

Core Technical Expertise (7–10+ years)

- Distributed systems: partitioning, replication, consistency, failure modes

- Cloud platforms (GCP/AWS), Kubernetes, containerization, CI/CD

- Databases: SQL + NoSQL trade-offs, indexing, query optimization

- Strong in Java/Kotlin, Go, or Python

- High-performance, multi threaded, low-latency systems

Data & Infrastructure

- Large-scale pipelines: Kafka, Spark, Flink

- Cost-efficient cloud design & operations

- Observability mindset: metrics, tracing, alerting

- Comfortable with OSS, reading source, contributing when needed

Ways of Working

- Writes clear RFCs/design docs that ship

- Leads through ambiguity in high-stakes environments

- Adapts to shifting priorities without losing quality

- Uses GenAI tools to accelerate problem-solving

WHY JOIN US

- Real scale: AI workflows across GPU clouds + Android + TV

- Cutting-edge: GenAI, multimodal inference, on-device ML

- Full stack commerce: inspiration → visualization → purchase

- Impact: products reaching millions daily

- Ownership: architect and ship, not just maintain

Job Summary

We're looking for a Senior Backend Software Development Engineer (SDE 3) with deep technical expertise in building and operating production systems at scale. You'll own entire components/services within microservices and data pipelines that handle ~200K queries per second and process petabytes of data daily. This role demands hands-on coding excellence, strong Low-Level Design (LLD) skills, and complete ownership—from component architecture through infrastructure management to cost optimization. You'll architect solutions, lead technical decisions, and drive operational excellence while shipping code daily.

Key Responsibilities:

• Component Ownership: Own one or more critical components/services end-to-end—responsible for architecture, development, deployment, operations, and evolution
• Technical Ownership: Own the entire lifecycle of your components—design, implementation, testing, deployment, monitoring, incident response, and continuous improvement
• Low-Level Design: Create detailed technical designs (LLD) for complex systems—defining data models, APIs, concurrency patterns, and failure modes
• Hands-on Development: Write production-grade code daily—this is not a purely architectural role; you'll be deep in the codebase
• Infrastructure Ownership: Own and operate the infrastructure your components run on—capacity planning, scaling, reliability improvements
• Cost Management: Drive cost optimization for owned components—analyze spending, identify waste, implement efficient architectures
• Scale & Performance: Build and optimize systems handling 200K+ QPS and petabyte-scale data processing
• Observability: Design and implement comprehensive monitoring, alerting, and debugging capabilities for owned components
• Incident Leadership: Lead incident response for your components and related services, conduct post-mortems, drive systemic improvements
• On-Call Excellence: Participate in on-call rotations and ensure your components are operationally sound (runbooks, alerts, dashboards)
• Technical Roadmap: Define and drive the technical roadmap for your owned components—balancing feature development, tech debt, and operational improvements
• Technical Mentorship: Guide junior and mid-level engineers on system design, code quality, and production best practices
• Cross-functional Collaboration: Work with product, infra, and other eng teams to define requirements and deliver solutions
• Agile Execution: Break down complex projects, deliver incrementally in daily cadence, iterate based on feedback

Required Qualifications:

• Experience: 4-5+ years building and operating backend systems in production environments at scale
• Education: B.E./B.Tech in Computer Science or equivalent practical experience
• Component Ownership: Proven track record of owning significant components or services from inception to maturity—demonstrable end-to-end ownership
• Low-Level Design (LLD): Proven ability to create detailed technical designs—data structures, algorithms, API contracts, concurrency models, failure handling
• Programming Mastery: Expert-level proficiency in at least one modern language (Go, Python, Java, etc.) with track record of writing maintainable, performant production code
• Databases: Deep hands-on experience with SQL and NoSQL databases—schema design, query optimization, indexing strategies, operational troubleshooting
• Microservices at Scale: Extensive experience building, deploying, and operating microservices handling high throughput and large data volumes
• Data Pipelines: Strong background designing and running data processing pipelines at scale (batch and/or streaming)
• Observability: Expert understanding of metrics, logging, tracing, and alerting—you know how to make systems debuggable
• Production Operations: Significant experience with incident response, on-call rotations, debugging live issues under pressure
• Infrastructure Knowledge: Hands-on experience managing infrastructure, understanding resource utilization, capacity planning
• Cost Consciousness: Experience analyzing and optimizing infrastructure costs at scale
• Distributed Systems: Strong fundamentals in distributed systems, concurrency, consistency models, and failure scenarios
• Accountability: Track record of taking full ownership—from design through deployment to ongoing operations and improvements

Preferred Qualifications:

• Experience with cloud platforms (GCP, AWS, or Azure) including cost management tools
• Kubernetes and container orchestration at scale
• Infrastructure as Code (Terraform, Pulumi, etc.)
• Streaming data systems (Kafka, Pub/Sub, Kinesis, Flink, etc.)
• SRE principles and reliability engineering practices
• Experience with FinOps or infrastructure cost optimization
• Performance profiling and optimization (CPU, memory, I/O)
• Technical leadership experience including mentorship of teams and driving multi-component initiatives
• Open source contributions or recognized technical writing

Glance - An InMobi Group Company    

Founded in 2019, Glance is a consumer technology company that operates disruptive digital platforms including Glance, Roposo, and Nostra. Glance’s ’smart lock screen’ inspires consumers to make the most of every moment by surfacing relevant experiences without the need for searching and downloading apps. Glance Lock Screen is currently available on over 450 million smartphones worldwide. Roposo is a LIVE platform that is revolutionizing live experiences, through a unique, immersive, creator-led approach. Nostra is the largest gaming platform in India and Southeast Asia, offering gamers engaging ways to discover, play, watch, learn and compete.   
 
Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group and is funded by Jio Platforms, Google, and Mithril Capital. For more information visit glance.com, nostra.gg, and roposo.com

What should you know about joining Glance?  

At Glance, we walk the talk – free yourself, dream big, and chase your passion! On joining, you’ll have opportunities to make an immediate impact on mission-critical projects, as you work with highly capable and ambitious peer groups.   

Be rewarded for your autonomy even as you collaborate. Ideate, innovate, and inspire by leveraging bleeding-edge tech to disrupt consumer experiences.   

While you work, we’ll take care of nourishing your body, mind, and soul. This includes daily meals, gym, trainings, tech tools, and regular unwind sessions. Also, feel free to bring your kids – even the furry ones – to the office!

What you will be doing?

Glance is looking for a Machine Learning Engineer.

As an ML engineer you will be responsible for contributing to the design, development, deployment, testing, maintenance and enhancement of ML software solutions. You will work closely with data scientists to collaborate and support the development of ML data pipelines, platforms and infrastructure.

Day-to-day activities include:

• architecting and implementing end-to-end solutions for accelerating experimentation and model building,

• creation of microservices and APIs for serving ML models and ML services,

• designing and implementing potential products and proof-of-concepts,

• working closely with engineering, product, and newsroom teams to define and deploy new ML / AI products,

• exploring and onboarding new platforms, technologies and algorithms,

• managing project priorities, deadlines and deliverables. We are looking for candidates with an enthusiasm for tackling audacious challenges, the ability to take ownership of end-to-end solutions, and a passion for elegance in deep problem solving. Preferred Qualifications:

• Five+ years' experience working in a ML Engineering role with proven track record of delivering high-impact ML solutions.

• Bachelor’s degree, Master’s or PhD in computer science, Mathematics, Statistics, or other analytical fields

• Demonstrated ability to own end-to-end project delivery while maintaining transparent communication

• Hands-on experience and strong theoretical understanding of Recommender Systems.

• Experience working with Python, Golang, Spark or other open-source software with data science libraries

• Strong experience in advanced math and statistics

• Excellence in technical documentation and project leadership, with proven ability to drive results independently with cross-functional teams

• Experience with being actively engaged in data science or other research-oriented position.

Glance - An InMobi Group Company    

Founded in 2019, Glance is a consumer technology company that operates disruptive digital platforms including Glance, Roposo, and Nostra. Glance’s ’smart lock screen’ inspires consumers to make the most of every moment by surfacing relevant experiences without the need for searching and downloading apps. Glance Lock Screen is currently available on over 450 million smartphones worldwide. Roposo is a LIVE platform that is revolutionizing live experiences, through a unique, immersive, creator-led approach. Nostra is the largest gaming platform in India and Southeast Asia, offering gamers engaging ways to discover, play, watch, learn and compete.   
 
Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group and is funded by Jio Platforms, Google, and Mithril Capital. For more information visit glance.com, nostra.gg, and roposo.com

What should you know about joining Glance?  

At Glance, we walk the talk – free yourself, dream big, and chase your passion! On joining, you’ll have opportunities to make an immediate impact on mission-critical projects, as you work with highly capable and ambitious peer groups.   

Be rewarded for your autonomy even as you collaborate. Ideate, innovate, and inspire by leveraging bleeding-edge tech to disrupt consumer experiences.   

While you work, we’ll take care of nourishing your body, mind, and soul. This includes daily meals, gym, trainings, tech tools, and regular unwind sessions. Also, feel free to bring your kids – even the furry ones – to the office!

What You’ll Do

As a Data Scientist – Recommendation Systems, you will own and drive high-impact ML systems powering personalization across Glance products.

• Design, build, and deploy large-scale recommendation and personalization models using diverse, high-volume data sources.
• Lead rapid experimentation—from hypothesis formulation to offline evaluation and online A/B testing—balancing speed, rigor, and business impact.
• Develop and productionize end-to-end ML pipelines, including data preparation, feature engineering, model training, evaluation, and monitoring.
• Partner closely with Product, Engineering, Design, UX, and Business teams to translate product goals into scalable ML solutions.
• Monitor model health and performance, applying statistical techniques to ensure robustness and long-term effectiveness.
• Explore and prototype new ML techniques to improve relevance, engagement, and monetization.
• Act as a technical interface for stakeholders, clearly articulating trade-offs, results, and next steps.
• Contribute to Glance’s thought leadership through blogs, case studies, and industry conference talks.

What We’re Looking For

Core Expectations

• Deep expertise in Machine Learning, Data Science, and Recommendation Systems at scale.
• Strong applied understanding of experimentation, metrics, and causal reasoning in real-world systems.
• Ability to take models from idea → prototype → production → business impact.

Experience & Skills

• 10+ years of industry experience in ML/Data Science building large-scale recommendation or personalization systems.
• Hands-on experience applying techniques from ML, Deep Learning, NLP, Reinforcement Learning, Time Series, and Statistics.
• Strong programming skills in Python with production-quality code practices.
• Experience with big data ecosystems, especially Apache Spark.
• Familiarity with cloud platforms such as AWS, GCP (Vertex AI), or Azure.
• Experience operating in identity-constrained / privacy-aware environments (e.g., iOS/Android, identity-less systems) is a plus.
• Excellent communication skills—able to explain complex technical ideas clearly to non-technical stakeholders.
• High curiosity, strong problem-solving ability, and a bias toward learning and experimentation.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research, Economics, Analytics, or Data Science.
• PhD is a plus, but not mandatory.
• We value diverse academic backgrounds—great data scientists come from many disciplines.