What You’ll Do: 

• Provide holistic assessments of security layers across infrastructure, application, people, and processes.
• Collaborate with product managers, designers, and engineers to threat model and architect secure and resilient systems.
• Review source code against secure coding best practices and contribute security requirements.
• Drive the software design and implementation of security services, tools, and libraries to provide secure defaults to the rest of the organization.
• Promote security remediations in the CI/CD pipeline by building tools and services for engineers to consume (e.g. custom Semgrep implementation, developer-first secrets management).
• Help build the platform that ensures software development at DigitalOcean is safe, easy, and low-risk.
• Champion an internal security culture (developer training, internal CTFs, etc.).
• Help DigitalOcean engineers understand how security events impact them. Do they need to worry about the next Log4j CVE? How does RetBleed impact DigitalOcean’s fleet?

• Ability to clearly communicate security topics and vulnerability classes (e.g. OWASP Top Ten) and provide actionable direction to product teams.
• A record of partnering with internal engineering teams to tackle security problems across an entire stack with empathy and creativity. Engineering teams are our partners, not our adversaries.
• Hands-on experience in software engineering projects. We primarily develop in Python, JavaScript, and PHP. You are comfortable writing code with good test coverage.
• Working knowledge of modern development concepts (virtualized environments, containerization, continuous integration + delivery, Public Cloud such as AWS/GCP).

• Bachelor's degree in Computer Science or related field.
• 3+ years experience guiding software teams on security architecture design.
• 3+ years of experience in application security or product security roles.
• Do you have 3+ years of software engineering experience, are interested in moving into a dedicated security role, and can share examples of championing security issues in the past? We also want to speak to you!
• Proven professional experience guiding software teams on secure architecture design.
• Working knowledge of system architecture and/or application architecture.
• Experience building or reviewing threat models and ability to craft malicious user, attacker, and abuse/misuse cases.
• Working knowledge of hardware and software supply chain security.

This is a hybrid role based out of Bengaluru, India. 

#LI-Hybrid 

Senior Bring-Up and Characteristion Engineer

Multiple roles across different levels

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. 

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing.  

We are looking for a Characterisation and Bring-Up engineer to work with Architecture, Silicon Engineering, Hardware Engineering, Operations (device manufacture) and Product teams to help create and execute the bring-up and characterisation of our cutting-edge silicon devices and system platforms. Graphcore design and develop leading edge silicon processors and high-power high-speed blade systems at the forefront of AI technology. As such you will need to develop a detailed understanding of our silicon and platform products. Your role will be to create and execute bring-up and characterisation plans of our silicon devices in systems to show that they will operate correctly over all conditions in the final product. You will concentrate on automated and manual testing of systems in the lab and datacentre. The results will be integrated with data from other teams to provide the complete characterisation solution for the product. For example, a large amount of device testing can be performed by the production test team using high-speed production test equipment. 

Responsibilities and Duties 

• Understand the architecture and design of silicon devices and systems, and clearly document the requirements for characterisation
• Creation of product specific characterisation plans
• Liasing with engineering teams to understand what are tests are available for characterisation purposes and driving change where appropriate
• Create and maintain an automated system for running characterisation testing, capturing the results to a central database and performing data analysis
• Execution of manual characterisation tests where automation is not appropriate
• Report regularly on progress and issues during the characterisation
• Produce characterisation reports containing platform test results and feeding them up into the overall product characterisation report

Essential skills

• A proven track record of delivering technical output, perhaps as an individual contributor, manager, or project manager
• Solid experience and understanding of silicon digital device design characterisation
• Knowledge of silicon process technology and how that impacts device performance at transistor and system level
• Knowledge of high-performance processor and system-on-chip systems
• Experience of high-speed digital interfaces, such as PCIe, Ethernet or DDR
• Knowledge of measurement automation and data analysis
• The ability to code or script automation and data analysis using appropriate coding languages such as Python, JMP for example
• An ability to work independently without daily oversight

Desirable skills:

• Knowledge of PCBA and system level technologies
• Background knowledge of ATE systems and capabilities. Whilst you will not be directly involved with such testing, some of the characterisation work will be performed on such systems

Benefits:

In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

Silicon Verification Engineer

Multiple roles across different levels

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. 

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing.  

The verification team sits within the Silicon design team and is responsible for ensuring that the RTL created by the logical design team and used by the physical design team matches the architecture specification for Graphcore silicon. The silicon verification engineer is responsible for verification activities within Graphcore, helping the team meet the company objectives for quality silicon delivery.

Responsibilities

• Verification planning, specification and closure of functional coverage
• Providing feedback to architects
• Test generation and failure diagnosis/triage
• Contributing to shared verification infrastructure
• Ensuring good communication between sites

Essential skills:

•8 to 12 Years of experience
•Verification experience in relevant industry
• Proven leadership and planning skills
• Highly motivated, a self starter, and a team player
• Ability to work across teams and programming languages to find root causes of deep and complex issues
• Experience of the verification process applied in CPU and/or ASIC environments
• System Verilog, Python, C++, Linux

Desirable skills:
• UVM
• SVA
• Assembly languages
• LLVM, GCC
• DVCS e.g. Git
• SGE or other DRMS
• XML and XPath/XSLT
• Web programming – HTML/DOM, Javascript, SQL  

Benefits:

In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

About us

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies.

Job Summary

We are looking for high-quality silicon physical design engineers to complement our existing exceptional team. We have a range of roles available with focus on those with extensive ranges of skills and experience although exceptional candidates with less experience will be considered. We want people who work collaboratively and proactively within a team focusing on collectively achieving our goals and creating the right engineering solutions. Good communication is essential, as is the ability to adapt and learn – we value the right characteristics more than specific experience.

For the successful candidate we offer an open, honest and collaborative environment working on leading-edge designs at the most advanced nodes. Our engineers are not siloed, and they are trusted and encouraged to take ownership of their designs and problem solutions. You will become part of a team that looks for improvements to everything we do: our designs, our flows, our methodologies, our infrastructure.

The Team

The physical design team sits within the wider silicon design team which includes RTL, verification and DFT and with whom we collaborate extensively. Our work additionally involves strong links with architecture, packaging and product engineering. We are responsible for working with those teams to create high-quality RTL and then to build the final chip layout (e.g. GDSII) ensuring a signoff-quality design is delivered to the Foundry (e.g. TSMC).

Responsibilities and Duties

Applicants will be expected to contribute technically to the development of Graphcore's next generation of AI superchips, focusing on achieving robust, high-performance and power-efficient designs in leading-edge process technologies while meeting ambitious development schedules. Contributions are expected to span multiple areas and involve:

• using state-of-the-art EDA tools and in-house Graphcore flows to deliver final designs that are of sign-off quality
• enhancing existing flows and in-house tools/APIs to support new features and/or methodologies
• analysis and/or debugging of complex engineering problems leading to workable solutions
• developing an understanding of emerging technical issues and applying that knowledge to optimise in-house flows and methodologies

Candidates will be expected to work closely both with other teams within Graphcore and with 3rd party support engineers/contractors, ensuring good communication between all parties, and to contribute meaningfully to the overall efficiency and success of the Physical Team.

Candidate Profile

Essential:

• A Degree in Electronic/Electrical Engineering, Computer Science or related subject
• Be highly motivated, a self-starter, and a team player
• Enjoy taking responsibility and improving skills and knowledge
• Excellent problem-solving skills for debugging issues seen and finding root causes
• Ability to program/script (required to solve design issues, typically in Tcl and Python)
• Experience in 7nm or smaller technologies
• A good breadth of experience with physical design flows including: Floorplanning/Budgeting, Synthesis, Place and Route, Clock CTS, Timing Analysis, Logical Equivalence, Physical Verification (DRC/LVS/ERC)
• Minimum 6/7 years relevant engineering experience

Desirable

• In depth expertise in one or more aspects of physical design flows
• Structuring of builds to maximise PPA
• Silicon transistor knowledge including std cell libraries and/or memories
• 2D and 3D design (CoWoS, UCIe etc.)
• High speed, high power and/or full reticle chip designs
• Experience with Ethernet, PCIe, LPDDR, HBM, UCIe implementations
• Power integrity and optimization
• 2nm or 3nm technologies
• Chip finishing (pad rings, chip level LVS/DRC/ERC)
• Design for test
• Team management
• Technical leadership
• Project Planning

Staff Embedded SW/FW Engineer (Bringup)

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing.

Job Summary

We have an exciting opportunity to be part of a collaborative, cross-functional development team developing C code used to validate cutting-edge, high-performance AI chips and platforms. You will play a critical role in supporting new product introductions and post-silicon validation.

Working within the Post-Silicon Bringup team, you will be involved with bringing first silicon to life, developing code primarily in C to configure and exercise systems and sub-systems on new silicon devices, and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to, and be responsible for, leading, mentoring, and providing technical guidance to other engineering team members. In this role, you can leverage your experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes.

The Team

The Post-Silicon Bringup team sits within the Architecture and Validation team, we are responsible for bringup and validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and supporting the Silicon Characterisation team. 

Responsibilities and Duties

• Plan, design, develop and debug silicon bringup sequences and test in bare metal C/C++ on FPGA/Emulator prior to first silicon
• Deploy configuration sequences and validation tests on first silicon and debug them
• Develop automated test framework and regression test suites in Python to optimize validation efficiency
• Collaborate closely with engineers from many other disciplines on a variety of topics
• Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies
• Analyse test results, identify and debug failures/defects
• Contribute to shared test and validation infrastructure
• Provide feedback to architects

Candidate Profile

Essential:

• Strong experience in Bare metal / embedded C/C++
• Good knowledge of digital ASICs.
• Be highly motivated, a self starter, and a team player 
• Ability to work across teams and programming languages to find root causes of deep and complex issues
• Experience of the post-silicon validation process applied in digital ASIC environments
• Python, Linux
• Excellent communication skills and the ability to collaborate with others to solve problems.
• Excellent problem-solving, analytical & diagnostic skills

Desirable:

• Driver level experience with one or more of the following is highly desirable:

• PCIe
• Ethernet
• Memory technologies (LPDDR, DDR, HBM, …)
• Other peripherals such as I2C, I3C, SPI, …

• Good knowledge of mixed-signal building blocks such as PLLs, high speed PHYs and IC control/communication protocols is highly desirable.
• Experience of Arm CPUs, System IP and debug tools.
• Experience of AMBA protocols.
• Understanding of ML applications and their workloads.
• Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, and Customer Support

Benefits:

In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

Silicon Verification Engineer

Multiple roles across different levels

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. 

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing.  

The verification team sits within the Silicon design team and is responsible for ensuring that the RTL created by the logical design team and used by the physical design team matches the architecture specification for Graphcore silicon. The silicon verification engineer is responsible for verification activities within Graphcore, helping the team meet the company objectives for quality silicon delivery.

Responsibilities

• Verification planning, specification and closure of functional coverage
• Providing feedback to architects
• Test generation and failure diagnosis/triage
• Contributing to shared verification infrastructure
• Ensuring good communication between sites

Essential skills:
• Verification experience in relevant industry
• Proven leadership and planning skills
• Highly motivated, a self starter, and a team player
• Ability to work across teams and programming languages to find root causes of deep and complex issues
• Experience of the verification process applied in CPU and/or ASIC environments
• System Verilog, Python, C++, Linux

Desirable skills:
• UVM
• SVA
• Assembly languages
• LLVM, GCC
• DVCS e.g. Git
• SGE or other DRMS
• XML and XPath/XSLT
• Web programming – HTML/DOM, Javascript, SQL  

Benefits:

In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

About Us

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. 

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies.

Job Summary

Working within the logical design team, the silicon logical design engineer is responsible for a wide range of logical design tasks. The team is responsible for delivering the Microarchitecture and RTL design to implement the chip architecture specification for Graphcore Silicon, working closely with other engineers within the Silicon team. The successful candidate will be responsible for helping the team deliver high quality micro-architecture and RTL for Graphcore chips, working within the logical design team and with the broader Silicon team to ensure we meet the company objectives for Silicon delivery. 

 Responsibilities and Duties

• Integrate IP and subsystems into top-level SoC designs
• Develop and maintain build and configuration environments
• Perform synthesis, linting, CDC/RDC, and timing checks at the SoC level
• Support verification and physical design teams through clean interface hand-offs
• Debug and resolve integration-related issues across multiple hierarchies
• Contribute to the continuous improvement of integration flows and automation
• Producing high quality microarchitecture and other documentation
• Ensure good communication between sites to maintain consistent working practises

Candidate Profile

Essential skills:

• Logical design experience in relevant industry
• Experience range 4-8 years in Semiconductor Industry/Product development exposure.
• Be highly motivated, a self-starter, and a team player
• Ability to work across teams and debugging issues seen to find root causes
• Degree in Computer Science, Engineering or related subject
• Ability to script in Python and/or TCL for automation and to solve design issues
• SystemVerilog
• Knowledge of digital design flows

Desirable skills:

• Processor design
• Application specific blocks
• High-speed serial interfaces
• Complex third-party IP integration
• Arithmetic pipeline design
• Floating-point design
• Design for test
• Synthesis
• Timing Analysis
• Project Planning
• Power Integrity
• Silicon transistor

Benefits:

In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

About us 

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies.  

 Job Summary  

We are looking for a Characterisation and Bring-Up engineer to work with Architecture, Silicon Engineering, Hardware Engineering, Operations (device manufacture) and Product teams to help create and execute the bring-up and characterisation of our cutting-edge silicon devices and system platforms. Graphcore design and develop leading edge silicon processors and high-power high-speed blade systems at the forefront of AI technology. As such you will need to develop a detailed understanding of our silicon and platform products. 
 
Your role will be to create and execute bring-up and characterisation plans of our silicon devices to show that they will operate correctly over all conditions in the final product. You will concentrate on automated and manual testing of systems in the lab and datacentre. The results will be integrated with data from other teams to provide the complete characterisation solution for the product. For example, a large amount of device testing can be performed by the production test team using high-speed production test equipment. 
 
The Team 

This team will be initially part of Manufacturing Operations. 
The Manufacturing Operations group has members in Bristol, Cambridge and Taiwan and is responsible for delivering world-class leading-edge products to customers. 
 
Responsibilities and Duties

• Understand the architecture and design of silicon devices and systems and clearly document the requirements for characterisation. 
• Assist in the creation of product specific bring-up and characterisation plans. 
• Execution of bring-up and characterisation plans. 
• Create and maintain an automated system for running characterisation testing, capturing the results to a central database and performing data analysis. 
• Execution of manual characterisation tests where automation is not appropriate. 
• Report regularly on progress and issues to your lead. 
• Produce characterisation reports containing platform test results and feeding them up into the overall product characterisation report. 
    

Candidate Profile  
Essential 

• A proven track record of delivering technical output. 
• Experience and understanding of silicon digital device design characterisation. 
• Knowledge of silicon process technology and how that impacts device performance at transistor and system level. 
• Knowledge of high-performance processor and system-on-chip systems. 
• Experience of high-speed digital interfaces, such as PCIe, Ethernet or DDR. 
• Knowledge of measurement automation and data analysis. 
• The ability to code or script automation and data analysis using appropriate coding languages such as Python, JMP for example. 
• An ability to work part of a team, either independently or with some oversight. 
• Bachelor's degree or equivalent practical experience. 

Desirable

• Knowledge of PCBA and system level technologies. 
• Background knowledge of ATE systems and capabilities. Whilst you will not be directly involved with such testing, some of the characterisation work will be performed on such systems. 
   

Job Role Summary: 

We are looking for an experienced and driven Software Engineer II to join our Audio Visual (AV) & Unified Communications (UC) team. In this role, you will act as the software engineering backbone for our AV/UC infrastructure, helping us scale our global communication tools through intelligent automation.

You will be responsible for designing, building, and maintaining automations for our core SaaS platforms, developing internal microservices, and implementing infrastructure-as-code to eliminate manual overhead. The ideal candidate is an independent problem-solver who enjoys working at the intersection of software development and enterprise communication systems.

Key Responsibilities

• SaaS Platform Automation: Design and deploy automated workflows for our primary AV/UC SaaS platforms (e.g., Zoom, Microsoft Teams, Webex, Slack) using their native APIs and webhooks to manage user lifecycles, provisioning, and reporting.
• Internal Services Development: Build, maintain, and scale internally built services, middlewares, and self-service tools that empower end-users and streamline AV/UC operations.
• Infrastructure Automation: Write and maintain scripts and infrastructure-as-code (IaC) to automate the deployment, configuration, and monitoring of AV hardware and UC software environments.
• System Integration: Connect disparate enterprise systems (e.g., HRIS, IT ticketing, and UC platforms) to ensure seamless data flow and process automation.
• Monitoring & Alerting: Develop automated health checks, proactive monitoring, and alerting mechanisms for critical AV/UC infrastructure to minimize downtime.
• Collaboration & Code Quality: Participate in code reviews, maintain clear technical documentation, and write unit/integration tests to ensure highly reliable code deployments.

Required Skills and Experience Level: 

• Experience: 2–4 years of professional experience in software development, backend engineering, or a Site Reliability Engineering (SRE) / DevOps role.
• Programming Languages: Strong proficiency in at least one modern programming language such as Python, Go, JavaScript/Node.js, or C#.
• API Expertise: Proven experience interacting with and designing RESTful APIs, Webhooks, and handling JSON/XML data payloads.
• Infrastructure & Cloud: Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Automation Tools: Experience with Infrastructure as Code (e.g., Terraform, CloudFormation) and configuration management tools (e.g., Ansible, Chef, or Puppet).
• Version Control & CI/CD: Solid understanding of Git workflows and building CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins).

Preferred Skills: 

• Direct experience working with APIs from major Unified Communications platforms (Zoom, MS Teams, Google Meet, Cisco, etc.).
• Familiarity with AV hardware ecosystems and their management interfaces.
• Experience building chatbots or chatops integrations (e.g., Slackbot, Teams bot).
• Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors, including inter-organizational impact
• Interact with senior internal and external personnel on event production systems matters, standards, and related projects 
• Proficiency with Google Suite tools.
• Security Compliance Certification ISC2 
• Familiarity with QSC, Dante, Crestron, Shure, and AV over IP 
• Collaborative thought leader with the ability to take a proactive approach to dynamic technical aspects of the role
• Okta Essentials Certification is a plus 
• Jamf Associate Certification is a plus 

#Hybrid_Bengaluru

#LI_Linkedin P24874_3391504

We are looking for a Post-Silicon Validation Engineer to drive bring-up, validation, and debug of RISC-V–based SoCs. This role sits at the intersection of silicon, firmware, and system software, and requires hands-on lab experience and understanding of SoC architectures.

You will own post-silicon validation from first-silicon bring-up through production readiness, working closely with design, pre-silicon verification, firmware, and software teams.

This role is hybrid , based out of Bangalore.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• You are a seasoned post-silicon engineer with 10+ years of experience in SoC bring-up, validation, and silicon debug.
• You have a strong grasp of CPU and SoC architectures, including RISC-V privilege modes, caches, coherency, and memory systems.
• You are comfortable debugging complex hardware/software interaction issues using lab tools and low-level software.
• You thrive in cross-functional environments and enjoy working closely with RTL, firmware, and software teams to solve hard problems.

What We Need

• Lead first-silicon bring-up of RISC-V CPU–based SoCs and execute post-silicon validation plans.
• Debug silicon issues across CPU cores, interconnects, memory subsystems, peripherals, and high-speed interfaces.
• Develop and debug bare-metal tests, boot flows, and collaborate on Linux bring-up and driver validation.
• Provide actionable feedback, support ECO validation, and drive fixes for future silicon revisions.

What You Will Learn

• Deep hands-on exposure to cutting-edge RISC-V SoCs, AI accelerators, and high-performance compute platforms.
• End-to-end ownership across the silicon lifecycle—from first silicon to stable production.
• Advanced silicon debug techniques spanning hardware, firmware, and operating systems.
• Opportunities to influence architecture, validation strategy, and future silicon direction in a highly visible role.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

We're looking for a passionate and hands-on RISC-V CPU Cluster/SoC DV Engineer to architect, develop, and evolve world-class verification infrastructure for high-performance RISC-V CPU clusters. If building from scratch, innovating on methodology, and collaborating with top-tier CPU designers excites you — read on.

This role is hybrid, based out of Bangalore.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• You thrive in building robust verification environments using SystemVerilog, UVM and C++, and can define and drive verification plans independently.
• You bring a system-level mindset, with experience integrating multiple IPs into clusters or SoCs and verifying their interactions.
• You have a strong grasp of stimulus planning, debug techniques, and coverage closure for verifying complex hardware subsystems like caches, NoCs, and memory hierarchies.
• You’re comfortable working on features that span multiple IPs — such as coherence, security — and ensuring their correct behavior at the cluster or SoC level.

What We Need

• A Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or a related field.
• Strong experience with System Verilog and UVM-based verification.
• Proven ability to drive subsystem or SoC-level DV projects with integration and system feature validation responsibilities.
• Familiarity with AXI/CHI protocols, System IPs flows (like debug/trace, power management), and integration flows for multi-IP verification environments.

What You Will Learn

• Techniques to scale DV infrastructure for verifying high-performance RISC-V clusters and SoCs.
• How to verify multi-agent interactions across CPUs, system IPs and NoC or fabric components.
• Best practices for cross-IP feature convergence, integration-level planning, and reuse across cluster/SOC programs.
• How to collaborate with global teams across RTL, DV, software, and validation for cohesive system-level bring-up.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

About The Role

As our team grows Cerebras is looking for a world class physical design engineer. We are looking for a strong learner who can learn how we do PD and integration of our wafer scale design.
As a member of our tight knit physical design team, you will perform a variety of physical design tasks such as synthesis, place and route, timing and block closure / sign off. You will be involved in all aspects of physical design and implementation. You will work closely with the RTL team and with full-chip integration of these blocks.

Skills and Qualifications

• 7+ years of physical design/verification experience.
• Strong experience in block/subsystem timing closure.
• Strong ability to learn and grow with the team.
• Strong knowledge of block level and full-chip physical verification methodology.
• Expert at optimizing for the best power/performance and area.
• Experience with the complete physical design flow. Knowledge of Synopsys tool suite is a plus.
• Expert with ICV or Calibre tools resolving block and full-chip DRC and LVS issues.
• Expert with IR/EM analysis and resolution.
• Good understanding of full chip floor-planning and integration. 
• Strong ability in scripting languages like Tcl and Python. Ability to make flow enhancements.
• Demonstrated ability to work with RTL teams to optimize for physical design.
• Ability to take on a leadership role after ramping up on wafer scale design

Overview of Role

The IT Service Desk L3 Engineer is a senior-level technical role responsible for providing the highest level of internal support and acting as the final escalation point for the IT Service Desk. This individual will lead complex project implementations, architect secure identity solutions, and ensure the stability of core infrastructure services. The L3 Engineer works closely with IT leadership to define technical standards, automate workflows, and maintain a high-security posture across all platforms.

Responsibilities

• Serve as the primary escalation point for complex technical issues from L1 and L2 engineers, ensuring timely resolution and adherence to SLAs.
• Architect, implement, and manage enterprise-grade SSO and Identity Provider (IDP) solutions.
• Manage and optimize Google Workspace and Administration at an expert level, including advanced security configurations and audit logging.
• Serve as the Subject Matter Expert (SME) for the Atlassian suite, specifically Jira Service Management, to streamline IT and business workflows.
• Enforce email security standards by configuring and monitoring SPF, DKIM, and DMARC protocols.
• Automate user lifecycle management through SCIM, JIT, and other advanced provisioning protocols.
• Oversee global Mac OS device management using advanced MDM tools and hardware asset management protocols.
• Manage complex storage infrastructure including iSCSI, NFS, and SFTP environments.
• Conduct Problem Management to identify root causes of recurring incidents and implement long-term preventative measures.
• Lead technical documentation efforts, creating architectural diagrams and high-level knowledge base articles.

Key Skillsets

• Identity & Access: Deep expertise in Single Sign-On (SSO) integration and Identity Provider (IDP) solutions (e.g., Okta, Azure AD). Mastery of identity protocols including OAuth 2.0, SAML 2.0, and OpenID Connect. Hands-on experience with automated user provisioning via SCIM and Just-in-Time (JIT) provisioning for user lifecycle management.
• Messaging Security: Expert-level knowledge in configuring, deploying, and troubleshooting email authentication protocols (SPF, DKIM, DMARC) to prevent spoofing and enforce email security policies.
• Infrastructure & Storage: Strong understanding of storage protocols (iSCSI, NFS) for enterprise environments. Experience managing secure file transfer protocols (SFTP) and core networking services (DNS, DHCP) for reliability and performance.
• Collaboration Suites: In-depth and demonstrable expertise in Google Workspace Administration, including advanced security settings, organizational unit (OU) management, audit log analysis, and Chrome Enterprise Management.
• Atlassian Suit: Expert level knowledge in Atlassian products, including designing and managing complex workflows, automation, and reporting within Jira Service Management (JSM), Jira Software, and Confluence to streamline IT operations and project delivery. Specific JSM expertise must include:
• Incident & On-Call Management: Implementing and managing JSM Premium features such as the Operations Center for on-call scheduling with various shifts, rotations, and overrides, full escalation policies, and advanced notifications (SMS, voice calls, Slack) for P1/P2 alerts.
• Platform Administration: Creating new request types and approval workflows based on ITIL principles, and leveraging the JSM/Confluence integration for knowledge base management.
• Integration & Automation: Expert experience with JSM API usage, troubleshooting complex API integrations (including webhooks for real-time data synchronization to external systems like CRM), and developing API scripts for user and data migration.
• Licensing & Cost Reduction: Utilizing Identity Providers (IDPs) (like Rippling/Okta) to reduce Atlassian license spend, manage user access based on organizational needs, and transition license models.
• AI Integration: Implementing Atlassian Rovo and integrating it with the IT Service Desk knowledge base to provide initial assistance and automated responses for incoming tickets.
• Endpoint Management: Proven experience with Enterprise Mac OS and Windows endpoint management, including deployment, patch management, security baselining, and inventory using modern MDM solutions (e.g., Rippling, Jamf, Intune).
• Operating Systems: Advanced troubleshooting and scripting skills for Mac OS and Windows operating systems.

Qualifications

• Bachelor’s degree in Information Technology, Computer Science, or a related field.
• 7–10+ years of experience in IT support, system administration, or infrastructure engineering.
• Advanced certifications such as Professional Google Workspace Administrator, GCP Cloud Architect, or Atlassian Certified Professional.
• Proven track record of managing complex identity migrations and enterprise-level MDM deployments.

• Adversarial Engineering: Design and implement Python-based distributed frameworks capable of orchestrating millions of concurrent IO operations to hunt down race conditions and memory leaks.
• AI-Augmented Validation: Be at the forefront of the AI-Native transformation. You will leverage LLMs and Generative AI to automate complex scenario generation, build intelligent agents for root-cause analysis, and multiply your engineering velocity.
• Simulation & Chaos: Build the "Entropy Engine." You will develop tools that inject real-world failures - latency, packet loss, and hardware crashes - to prove the resilience of our Raft and RDMA implementations.
• Deep-System Observability: Move beyond "Pass/Fail." You will build telemetry pipelines to track P99 latency and jitter, providing critical architectural feedback to the Core Kernel teams.
• Collaborative Architecture: You will operate with the same rigorous standards as the Core R&D team: design docs, production-grade code reviews, and high-level architectural planning.

• Extensive Coding experience: You are a Python expert who understands "under the hood" internals. You are comfortable reading and debugging C++, Rust, or Go to understand how the core system works.
• Systems Engineering Mindset: You have a background in distributed systems, networking (TCP/IP, RDMA), or storage protocols. You understand the complexities of consistency and metadata at scale.
• AI Enthusiast: You are an early adopter of AI tools (Copilot, LLMs) and are excited about using them to automate the most tedious parts of the engineering lifecycle.
• The "SRE" Lens: You approach quality through the lens of Site Reliability Engineering. You care about observability, MTTD (Mean Time to Detection), and building self-healing testing loops.
• Problem Hunter: You have a "hacker" instinct. You don’t just find a bug; you find the architectural flaw that allowed it to exist.

About the role:

Samsara is looking for an experienced Technical Support Engineer to provide world-class hardware and software support experience to our customers. You will be a part of our Tier 2 support team within the umbrella of the Global Technical Support organization. You will be responsible for resolving complex customer problems and improving support across all teams. Your work will be collaborative in nature, working together with other support engineers in multiple support locations to serve our customers and troubleshoot complex issues.  

The ideal candidate will have a strong technical background with experience in a technical support role, proven customer-facing skills, and strong communication skills. You understand the day-to-day aspects of customer support including managing tickets, building knowledge base articles, and providing product feedback to Engineering and PM teams. 

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best. 

In this role, you will: 

• Product Expertise: Become an expert on Samsara’s product portfolio of complete Internet of Things (“IoT”) solutions combining hardware, software, and cloud to bring real-time visibility, analytics, and AI to operations across multiple industries.
• Technical Troubleshooting: Use your technical knowledge and product expertise to troubleshoot and resolve customer issues with medium to high complexity.
• Responsiveness & Resolution: Respond to customers and resolve their inquiries in a timely and helpful manner with a primary focus on meeting our SLA goals.
• Documentation: Partner with Enablement to author and maintain customer-facing knowledge base articles to help improve the self-servisablity for our end users.
• Partnerships: Work closely to develop partnerships with our Engineering and Product teams in order to reproduce bugs and build testbeds as necessary.
• Feedback Loop: Provide direct feedback to Support Management for product and process improvements to help enhance the customer experience.
• Team Player: Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

This is a hybrid position based in our Bengaluru office, requiring you to participate in an on-call rotation schedule to triage and manage high-severity issues and outages.

Minimum requirements for the role:

• B.S. in Computer Science, Engineering (Mechanical/Electrical), or other technical fields.
• Minimum 5 years of experience in support, engineering, or other technical roles.
• Fluent English is a must.
• Technical know-how - you’re comfortable interfacing with engineers, translating complex technical concepts into everyday language, and working with SaaS systems.
• Excellent customer service and interpersonal skills coupled with the ability to influence individual contributors and leaders across the company.
• Excellent written and verbal communication skills, you can speak both Engineer and Human.
• Strong bias for action, ability to dive deep, and insistence on the highest standards.
• Ability to work in a hyper-growth environment with shifting priorities.
• Willingness to work flexible hours during nights and weekends is preferred.

An ideal candidate also has:

• Experience with industrial systems, electronics, tinkering with cars or IoT devices, or similar hands-on work is a big plus.
• Trilingual English, Spanish and French is a big plus.
• Strong familiarity with using CRMs like Zendesk or Salesforce.

#LI-hybrid

About the role:

Samsara Technologies India Private Limited is looking for a Staff Engineer to join the Platform & Infrastructure organization, which is responsible for building foundational systems that drive software products. Examples include areas such as Reporting/Automations/Enterprise capabilities to support our rapidly growing footprint of customers and foundational infrastructure capabilities such as container orchestration/data storage/real-time data ingestion/GraphQL execution to power Samsara engineering.

As a Staff Engineer at Samsara, you will help us spearhead the technical direction for the organization, be a technical leader that brings fresh ideas and expertise to guide the team’s technical design and architecture and enable increasingly complex features and customer use cases. You will work on specific projects critical to Samsara’s needs alongside other highly-skilled Samsara engineers and push Samsara’s technical capabilities forward. 

Office address: PRESTIGE TECH PARK, Kadubeesanahalli, Bengaluru, Karnataka 560103, India

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

In this role, you will: 

• Drive technology choices, implementing services, and/or establishing architectural patterns that have a broad and lasting impact on Samsara's platform
• Identify opportunities and initiate strategic conversations to influence the direction of platform technology and engineering culture
• Architect, design, and develop software that enables Samsara to operate at scale
• Lead teams in delivering products and capabilities that contribute to Samsara’s products and revenue
• Deliver impact by solving the hardest technical problems and enabling products to reach the market quickly and successfully with high quality
• Keep a platform-first approach while collaborating with our infrastructure and product teams to build products, tools, and solutions.
• Act as a multiplier for the team, elevating the impact and output of every team member
• Contribute to Samsara’s engineering brand by representing Samsara in external-facing forums
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

• Bachelor’s Degree in Computer Science/Engineering or equivalent practical experience
• 12+ years of experience in software design, development, and algorithm-related solutions with at least 4 of those years in an architect or leadership role
• Stellar programming/coding fundamentals
• 4+ years of experience building large-scale distributed systems
• 4+ years of experience leading cross-organization projects
• Expertise working with web services at a massive scale deployed on Cloud providers such as AWS, GCP or Azure

An ideal candidate also:

• Has 15+ years of relevant industry experience in software development
• Enjoys leading and mentoring engineers to think about systems - their life cycles, edge cases, and failure modes
• Enjoys fostering collaboration among engineers with different focuses (frontend, mobile, firmware, vision, ML)
• Is an expert in writing high-quality, performant, and maintainable code in a modern programming language
• Production experience working with Javascript and/or client-side code
• Expertise working on large-scale enterprise software applications
• Demonstrated ability to ship production-quality software in a dynamic environment
• Expert-level knowledge of at-scale stream-processing decision engines

#LI-Hybrid

Overview of Role

As a Cloud & Edge Engineer at 66degrees, you will bridge the gap between centralized cloud power and localized edge intelligence. You will design, build, and maintain complex infrastructure on Google Cloud Platform (GCP) and Google Distributed Cloud (GDC) for global clients, with a specific focus on Manufacturing Edge environments. You will be instrumental in optimizing performance, scalability, and security from the data center to the factory floor.

Responsibilities

• Core Responsibilities

• Infrastructure Leadership: Design and deploy highly scalable, resilient infrastructure solutions using GCP and GDC.

• Advanced Automation: Drive the implementation of Infrastructure as Code (IaC) using Terraform or Google Cloud Deployment Manager to automate intricate provisioning across cloud and edge.

• Edge & Manufacturing Excellence: Implement and support Manufacturing Edge Connect use cases, ensuring seamless integration between industrial hardware and the cloud.

• Data Architecture: Develop and maintain Data Hub architectures for centralized data ingestion, processing, and analytics.

• DevOps & CI/CD: Spearhead the integration of DevOps methodologies, guiding developers to establish sophisticated CI/CD pipelines.

• Security & Compliance: Enforce stringent security measures and ensure robust compliance (GDPR, HIPAA, CIS) across distributed environments.

• Monitoring & Resilience: Establish comprehensive monitoring, alerting, and logging; formulate disaster recovery procedures for mission-critical systems.

• Cross-Functional Collaboration: Partner with data scientists, industrial engineers, and software developers to deliver end-to-end solutions that align with complex business requirements.

Qualifications

• 1. Cloud & Edge Expertise

  • 4+ years of hands-on experience with GCP, showcasing expertise in designing, deploying, and managing cloud-based infrastructure.

  • Direct experience with Google Distributed Cloud (GDC) and deploying solutions in edge/industrial environments.

  • Proficiency in Kubernetes (GKE) and container orchestration at scale.

  2. Data & Networking

  • Data Services: Skilled in optimizing BigQuery, Cloud SQL, Dataflow, Firestore, Bigtable, Dataproc, and Pub/Sub.

  • Edge Integration: Proven ability to integrate edge systems with cloud platforms ensuring secure, low-latency, and scalable data flow.

  • Networking: Strong understanding of hybrid connectivity, VPCs, and secure edge-to-cloud networking.

  3. Automation & Scripting

  • Expertise in Terraform or similar IaC tools.

  • Proficiency in Python or Bash for automation and configuration management.

  • Comfortable managing both Linux and Windows operating systems.

  4. Soft Skills & Education

  • Problem-Solving: Ability to diagnose and resolve intricate infrastructure bottlenecks under pressure.

  • Communication: Excellent ability to translate complex technical concepts for diverse stakeholders.

  • Education: Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

  • Certifications: GCP Professional Cloud Architect or Associate Cloud Engineer (Highly Preferred).

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 

What’s in it for you?

Opportunity To Unlock Your Creativity
Think of all the times you were held back from trying new ideas because you were boxed in by bureaucratic legacy processes or old school tactics. Having a growth mindset is deeply ingrained into our company culture since day 1 so Fictiv is an environment where you have the creative liberty and support of the team to try big bold ideas to achieve our sales and customer goals.

Opportunity To Grow Your Career
There are plenty of sales jobs out there. The question is whether any of them will help you grow in your career? Will you be challenged by teammates to achieve your potential? Or are they roles that will ask you to do more of what you've already mastered. At Fictiv, you'll be surrounded by supportive teammates who will push you to be your best through their curiosity and passion.

Impact In This Role

We bridge the gap between complex customer requirements and practical manufacturing solutions by accurately interpreting technical drawings, performing precise cost analysis, and ensuring manufacturability through DFM (Design for Manufacturability) reviews. We engage directly with customers to clarify requirements, address technical questions, and provide transparent guidance that balances cost, quality, and lead time.

We streamline quoting workflows by reducing manual touchpoints, standardizing processes, and enabling faster decision-making. We proactively identify risks whether in material sourcing, tolerance challenges, or production feasibility and work with cross-functional teams to resolve them before they impact delivery.

Our work enhances the customer experience by combining deep technical expertise with clear, timely communication. We act as the link between customer needs and manufacturing capabilities, ensuring quotes are accurate, timelines are realistic, and outcomes meet or exceed expectations.

You will report to the Global Solution Engineering Director.

What You’ll Be Doing

• Accurate & Timely Quoting

  • Provide cost estimates for CNC machining and other manufacturing processes with high precision.

  • Perform DFM (Design for Manufacturability) analysis to highlight risks, suggest design changes, and optimize for cost and lead time.

  • Apply process knowledge to quote complex parts confidently, even in challenging timelines.

• Technical Support & Expertise

  • Interpret engineering drawings, GD&T, and material requirements to ensure feasibility.

  • Provide alternatives for difficult-to-source materials or complex geometries.

  • Offer process guidance for machining, finishing, and assembly needs.

  • Deliver region-specific manufacturing expertise across the US, India, China, and Mexico. Optimized to match the customer’s unique requirements, budget constraints, lead time goals, and project priorities.

• Customer Engagement & Education

  • Direct communication with customers to clarify requirements, resolve design concerns, and ensure alignment on expectations.

  • Provide proactive updates during quoting or project execution to reduce uncertainty.

  • Educate customers on trade-offs between cost, lead time, and quality.

• Cross-functional Collaboration

  • Work with internal teams (Sales, Operations, Sourcing, Quality & Logistics) to ensure smooth project execution.

  • Engage with manufacturing partners to validate capabilities, pricing, and delivery timelines.

• Risk Identification & Mitigation

  • Detect potential manufacturing challenges early, reducing costly rework or delays.

  • Recommend alternative manufacturing processes, tolerances, or materials when required.

• Platform-driven Quoting Solutions

  • Leverage platform tools to automate portions of the quoting process for speed and accuracy.

  • Balance risk by determining when to quote on-platform vs. escalate to High Touch (HT) quoting.

Desired Traits

• Meticulous, detail oriented, inclination for documentation
• Excellent verbal and written communication skills in English required
• Self-starter, manages time efficiently, able to complete work in a timely manner without active supervision
• Enjoys sharing knowledge and teaching others about manufacturing processes
• 4-year Mechanical Engineering degree or equivalent technical training
• Understanding of GD&T and conventional (coordinate) tolerancing
• Knowledge of manufacturability, and limitations, of common metals and plastics
• Exposure to multiple custom mechanical manufacturing processes (sheet metal, urethane casting, injection molding, etc…)
• CNC machining and 3D printing experience is a must

What’s in it for you?

Opportunity To Unlock Your Creativity
Think of all the times you were held back from trying new ideas because you were boxed in by bureaucratic legacy processes or old school tactics. Having a growth mindset is deeply ingrained into our company culture since day 1 so Fictiv is an environment where you have the creative liberty and support of the team to try big bold ideas to achieve our sales and customer goals.

Opportunity To Grow Your Career
Fictiv, you'll be surrounded by supportive teammates who will push you to be your best through their curiosity and passion.

Impact In This Role

Your role as a Manufacturing Engineer will be to support and drive improvement to our critical manufacturing functions. We have two sets of customers—our builders, who order parts through us, and our manufacturing partners, who manufacture and assemble these parts—and you’ll be consistently working at the interface between the two.  At Fictiv, we believe in creating the world’s premier platform for hardware manufacturing, and you’ll be playing a critical role in making that happen.

In your role as the Manufacturing Engineer, you will be reviewing and analyzing the manufacturability and costs associated with CNC machining submitted by our builders. In this role, you’ll also be using your Mechanical Engineering background and knowledge of manufacturing processes in order to determine what design changes may need to be made to our builders’ design specifications in order to meet their needs. By developing highly competitive proposals and quotations that meet the requirements called out by our customers, you will be assisting in bringing products to market faster in a wide range of industries (and helping to accelerate Fictiv’s growth)

You will report to the Costing and DFM lead.

What You’ll Be Doing

1. Package review - Study the package provided by Sales to determine scope of work, manufacturing feasibility & Lead time details
2. Should be able to define best suited manufacturing process, machine selection, cycle time calculations & setup costs
3. Should be able to generate Should cost using in house calculators & Fictiv's software recommendations
4. Manufacturing Partners quote scrutiny. To check whether the provided quote is correct in terms of optimized raw material, machining & secondary processes costs
5. Should be able to negotiate with Manufacturing partners on quotes provided and get the best costs out to ensure a win win situation
6. Should be able to understand secondary process eg Anodising, Zinc plating, Chemical conversion coatings with respect to their type, class, service class, methods etc 
7. Preparing RFQ package to Manufacturing Partners referring to capability & capacity plans 
8. Calculator Generations - Use own machining expertise & understanding of process cost drivers to develop cost calculators
9. DFx Feedback - Should be able to study the 3D Model, 2D prints to determine the manufacturability of the part & highlight key points that involve a design change recommendation
10. Automation Feedback - Provide feedback to Quoting SOftware team to improve accuracy of automated quoting of our manufacturing services
11. Packaging costs - Should be able to develop packaging concept & provide the same to Logistics team for generating Shipping costs
12. Follow up with Sales for Quoted RFQ's feedback on weekly basis & also provide feedback to Manufacturing partners about quoted RFQ's status
13. Work with CFT in evaluating value deals for project management validation, project de risking, quality documentation
14. Should be able to handle Assembly product structure
15. Help clear technical queries during MP Quoting
16. Maintaining reports  for Opportunities quoted won/lost, conversion ratio etc
17. Participate in Manufacturing Partners QBR with CFT to address cost issues, conversion ratios etc

Desired Traits

1. 6-8 years of relevant work experience
2. Meticulous, detail oriented, inclination for documentation
3. Excellent verbal and written communication skills in English required
4. Self-starter, manages time efficiently, able to complete work in a timely manner without active supervision
5. Enjoys sharing knowledge and teaching others about manufacturing processes
6. 4-year Mechanical Engineering degree 
7. 3D model & 2D print review with good proofreading capabilities
8.  5, 4, 3 Axis Milling, Turn Milling,  Grinding, Gear hobbing, Spark & wire EDM, Gun Drilling processes
9. Strong GD & T background
10. CNC machines specifications/technical data
11. CNC programming for milling & turning
12. Turning & Rotating tools selection , grades of inserts for turning & Milling, Insert specification
13. Work holding devices for CNC Turning & Milling centers
14. Recommended cutting conditions for work materials classified by ISO
15. Materials (Chemical compositions, Mechanical & Thermal properties) : Stainless steel, carbon steel, alloy steel, aluminum alloys, Tool steel Titanium plastics and their associated ASTM, ISO, IS, DIN &  MIL standards.
16. Heat treatment : Normalizing, Tempering, Annealing, Case hardening, & Quenching
17. Secondary processes : Anodising, chemical conversion coatings, Zinc plating, Nickel plating, tin plating, Bead blasting & their associated standards eg MIL , ASTM , ISO 
18. Secondary processes : Painting & Powder coating
19. Inspection instruments & methods to help improve DFM feedback
20. PPAP documentation
21. ISO 9001 : 2015 Documentation
22. AS9100D documentation
23. Proficient written & oral communication skills
24. Excel & Google sheet expertise
25. Undergone training on cutting tools through Sandvik, Kennametal etc
26. Production costing background
27. Packaging estimation : concept to development

Interested in learning more?  We look forward to hearing from you soon.

Opportunity To Unlock Your Creativity
Think of all the times you were held back from trying new ideas because you were boxed in by bureaucratic legacy processes or old school tactics. Having a growth mindset is deeply ingrained into our company culture since day 1 so Fictiv is an environment where you have the creative liberty and support of the team to try big bold ideas to achieve our sales and customer goals.

Opportunity To Grow Your Career
At Fictiv, you'll be surrounded by supportive teammates who will push you to be your best through their curiosity and passion.

Impact In This Role

Your role as a Manufacturing Engineer will be to support and drive improvement to our critical manufacturing functions. We have two sets of customers—our builders, who order parts through us, and our manufacturing partners, who manufacture and assemble these parts—and you’ll be consistently working at the interface between the two. At Fictiv, we believe in creating the world’s premier platform for hardware manufacturing, and you’ll be playing a critical role in making that happen
In your role as the Manufacturing Engineer, you will be reviewing and analysing the manufacturability and costs associated with fabrication (including CNC machining, 3D printing, and other manufacturing processes) submitted by our builders. In this role, you’ll also be using your Mechanical Engineering background and knowledge of manufacturing processes in order to determine what design changes may need to be made to our builders’ design specifications in order to meet their needs. By developing highly competitive proposals and quotations that meet the requirements called out by our customers, you will be assisting in bringing products to market faster in a wide range of industries (and helping to accelerate Fictiv’s growth).
You will be reporting to the Director of Manufacturing Engineering (US) & Global Standards.

What You’ll Be Doing

• Release Package Review – Analyze models, drawings, parts lists, and other data to determine scope of work, feasibility for manufacturing, manufacturing requirements, and minimum lead time.
  
• Quoting – Combine your analysis with Fictiv’s software recommendations to generate quotes for builders, or collaborate with external suppliers to determine necessary quoting parameters.
  
• Calculator Generation – Use your fabrication expertise and understanding of process cost drivers to develop cost calculators that allow for Fictiv to bring quoting in-house for new service offerings.
  
• DFx Feedback – Provides DFx feedback to builders, such as recommended design alterations to improve manufacturability, reduce cost of part fabrication, or improve ease of assembly.
  
• Automation Feedback – Provide feedback to the quoting software team to improve accuracy of automated quoting of our manufacturing services.
  
• Drawing Generation – Generation of high-quality 2D drawings per ANSI/ASME Y14.5 standards.

Desired Traits

• Meticulous, detail oriented, inclination for documentation
• Excellent verbal and written communication skills in English required
• Self-starter, manages time efficiently, able to complete work in a timely manner without active supervision
• Enjoys sharing knowledge and teaching others about manufacturing processes
• 4-year Mechanical Engineering degree or equivalent technical training
• Understanding of GD&T and conventional (coordinate) tolerancing
• Knowledge of manufacturability, and limitations, of common metals and plastics
• Exposure to multiple custom mechanical manufacturing processes (sheet metal, urethane casting, injection molding, etc…)
• CNC machining and 3D printing experience is a must

Perks and Benefits

• Provident Fund
• Group Personal Accident Policy
  
• Mediclaim 
• And much, much more!

Interested in learning more?  We look forward to hearing from you soon.

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 

This is an onsite role based at Nextiva’s Bengaluru office (Wilshire III by MFAR, 492, Hobli, RHB Colony, Mahadevapura, Bengaluru, Karnataka 560048). Working together onsite strengthens how we operate, enabling faster decisions, clearer communication, and stronger execution, so you can make a greater impact and move work forward with speed and clarity. 

In-Office Expectation: This role is expected to work onsite five days per week, supporting a highly collaborative, in-person team environment. 

We're looking for a strategic, hands-on Principal Product Manager to lead the vision and execution for our next-generation Voice capabilities within our CX platform. You'll build and evolve cutting-edge, AI-powered voice experiences—transforming traditional voice interactions into intelligent, automated conversations that enhance agent productivity, customer satisfaction, and operational efficiency through advanced NLP, real-time transcription, and voice AI. You'll shape the vision, align cross-functional teams, and deliver a roadmap that drives measurable business impact.

Key Responsibilities:

1. Strategic Ownership

• Define the long-term product strategy and positioning for Voice capabilities (UCaaS and CCaaS), aligned with AI-first differentiation and competitive market value
• Deeply understand user needs across contact center operations, IT leaders, developers, and end-users; incorporate voice-of-customer and competitive insights in every decision
• Partner with Finance and Sales to inform packaging, pricing, and monetization decisions for voice features (stand-alone vs. bundled) using data-driven insights

2. Execution & Delivery

• Translate strategy into a data-informed roadmap; prioritize features such as:
  • AI-Powered Transcription: Real-time speech-to-text with speaker diarization, punctuation, vertical specific grammars and multi-language support
  • Natural Language Processing (NLP): Intent detection, sentiment analysis, entity extraction, and conversation voice understanding
  • Voice AI & Automation: Conversational IVR/IVA, AI agents for self-service, voice bots with LLM integration
  • Real-Time Voice Analytics: Call monitoring, keyword tracking, compliance detection, and live agent assistance
  • Voice Infrastructure: SIP trunking, call routing, voice quality optimization, codec support, and telecom carrier integrations
  • UCaaS/CCaaS Features: Click-to-call, voicemail-to-text, call recording, conference bridging, call transfer, and omnichannel voice integration
• Collaborate closely with Engineering, Design, Data Science, and GTM teams to deliver high-impact releases; establish clear metrics that link customer outcomes to business goals
• Drive continuous iteration post-launch through telemetry, experimentation, A/B testing, and customer feedback

3. Cross-Functional Impact

• Act as a connector across Product, Design, Data Science, Engineering, and GTM to ensure cohesive delivery and alignment on vision
• Champion a culture of experimentation, learning, and accountability across teams
• Influence senior stakeholders through crisp storytelling and data-backed recommendations; translate technical voice capabilities into compelling business value

4. Technical & Domain Expertise

• Demonstrate deep understanding of:
  • Voice Technologies: VoIP protocols (SIP, RTP, WebRTC), telephony systems, PBX/softswitch architectures, audio codecs
  • AI/ML for Voice: NLP, ASR (Automatic Speech Recognition), TTS (Text-to-Speech), LLMs, RAG (Retrieval Augmented Generation)
  • Transcription & Speech Analytics: Real-time transcription engines, speaker identification, acoustic modeling, language models
  • Contact Center Voice: ACD (Automatic Call Distribution), IVR/IVA systems, call routing strategies, CTI (Computer Telephony Integration)
  • UCaaS Platforms: Unified communications features, presence, soft phones, mobile/desktop clients, and hardware devices.
• Stay current on competitive landscape (NICE, RingCentral, Dialpad, Five9, Genesys, Twilio) and emerging voice AI technologies
• Work with ISVs, technology partners, and telecom carriers to expand voice capabilities and ecosystem integrations

Qualifications:

Required Experience & Skills

• 8+ years in SaaS Product Management, including 4+ years leading enterprise-grade contact center, UCaaS, or voice communication products
• Proven success transforming embedded voice capabilities into revenue-generating, standalone experiences that drive customer adoption and satisfaction
• Deep technical expertise in:
  • Voice communication protocols; telephony device and systems
  • NLP, speech recognition, and conversational Voice technologies
  • Contact center voice infrastructure (IVR, ACD, call routing)
  • Real-time transcription and voice analytics
• Track record of developing and executing successful product launches in competitive voice/CCaaS markets with a CX-first approach
• Strong analytical, problem-solving, and decision-making skills with data-driven approach to prioritization
• Experience managing beta programs, user feedback loops, and conducting A/B testing for voice features
• Excellent collaboration skills with ability to motivate product development teams, work effectively across functions, and lead through influence in global environments

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, or related technical field; MBA or similar advanced degree is a plus
• Experience with AI concepts including NLU (Natural Language Understanding), ML model training, LLM integration, and RAG architectures
• Familiarity with voice analytics, compliance requirements (PCI-DSS, HIPAA for voice), and quality standards
• Understanding of Centrex features, hosted PBX, SIP trunking, and carrier integrations
• Prior experience as a software engineer, technical lead, or solutions architect before transitioning to product management
• Knowledge of developer platforms and APIs for voice (Twilio, Vonage, RingCentral APIs)

Personal Attributes

• Proven affinity for inserting user experience first in the product design approach, especially for voice interactions
• Ability to demonstrate deep understanding of the Conversational AI (Voice/Chatbot) landscape, LLM technology, ecosystem, and evolution
• Embrace a hands-on approach, capable of navigating from high-level strategic vision to detailed execution
• Become the reference for competitive intelligence on voice offerings in the market
• Champion for voice product throughout each product's lifecycle, from strategic definition to technical design to market launch

What Success Looks Like in 12 Months

• Vision & Roadmap: A clear two-year vision and KPI-driven roadmap influencing cross-product alignment
• Customer Impact: Delivery of new AI-assisted QM/WFM capabilities adopted by at least three flagship customers with >70% engagement
• Commercial Influence: Measurable attach rates and incremental ARR growth in key regions (North America, EU, APAC)
• Operational Excellence: Instrumentation provides real-time insights into adoption, feature performance, and churn drivers
• Cross-Functional Collaboration: Strong partnerships across Product, Engineering, and GTM driving faster iteration and impact

Why Join Us

• Lead the transformation of voice communications through cutting-edge AI technology
• Work with a talented, cross-functional team passionate about building world-class CX solutions
• Shape the future of how millions of agents and customers interact through voice
• High visibility role with direct impact on company strategy and revenue
• Competitive compensation, equity, and benefits package

Nextiva DNA (Core Competencies)

Nextiva’s most successful team members share common traits and behaviors:

• Drives Results: Action-oriented with a passion for solving problems. They bring clarity and simplicity to ambiguous situations, challenge the status quo, and ask what can be done differently. They lead and drive change, celebrating success to build more success.
• Critical Thinker: Understands the "why" and identifies key drivers, learning from the past. They are fact-based and data-driven, forward-thinking, and see problems a few steps ahead. They provide options, recommendations, and actions, understanding risks and dependencies.
• Right Attitude: They are team-oriented, collaborative, competitive, and hate losing. They are resilient, able to bounce back from setbacks, zoom in and out, and get in the trenches to help solve important problems. They cultivate a culture of service, learning, support, and respect, caring for customers and teams.

Total Rewards

Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office.

Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses.

• Medical 🩺 - Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity.
• Group Term & Group Personal Accident Insurance 💼 - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means.
  • Coverage Type - Employee Only
  • Sum Insured - 3 times of annual CTC with minimum cap of INR 10,00,000
  • Free Cover Limit - 1.5 Crore
• Work-Life Balance ⚖️ - 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays
• Financial Security💰 - Provident Fund & Gratuity
• Wellness 🤸‍ - Employee Assistance Program and comprehensive wellness initiatives
• Growth 🌱 - Access to ongoing learning and development opportunities and career advancement

At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career! 

Beware of Recruitment Fraud: At Nextiva, we follow a merit-based hiring process and do not charge any fees or require a deposit at any stage.  We also do not authorize any third parties to collect payments or sensitive information on our behalf. 

All genuine communications from Nextiva originate from official email addresses ending in “@nextiva.com”.  Communications received from free email services (such as Gmail, Yahoo, or Hotmail) purporting to be from Nextiva should be treated as fraudulent.  If you are contacted by a third-party claiming to represent us, please verify their credentials by writing to [talent@nextiva.com]. 

We encourage candidates to stay vigilant and verify the authenticity of any communication claiming to be from Nextiva, including unsolicited calls, WhatsApp messages and Telegram communications. While we strive to maintain a secure hiring process, Nextiva is not responsible for any losses arising from fraudulent activities.

For genuine opportunities, please apply only through our official careers site: [Careers URL / Nextiva LinkedIn authentic jobs].

If you believe that you have been a victim of recruitment fraud, please contact your law enforcement agencies immediately.

#LI-AK1 #LI-Onsite

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 

DevOps Engineer (m/f/d)

Bangalore, Remote India

Hello 👋 I am Servesh, Co- founder and CTO at Kayzen, and I am now looking for a DevOps Engineer who will be part of our Engineering team. 🙌 But wait, you have not heard of Kayzen before? 😃

Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. We enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through its self-serve and managed service options. Built on the three core pillars of performance, transparency, and control, Kayzen powers the world’s best mobile marketing teams with bespoke solutions that fuel business growth and deliver a competitive advantage. With an unprecedented scale of 160B+ daily ad requests from 1.6B+ unique users worldwide, we serve up to 1B+ ads per day in 180 countries. Kayzen is accessible through our APIs and user interface.

The Team

The Platform Engineering team owns Real-time bidding (RTB) platform, a Real-time budget system, Real-time event processing, Stream data processing engine and multiple other complex large-scale distributed components and data pipelines. We work closely with data scientists, data analysts, product and business teams. We are responsible for some of the most technically challenging work, for example:

• Handling ~2 Million Req/sec in sub-millisecond latency
• Handing & managing ~Petabytes of data
• Managing distributed systems deployed across multiple data centers
• Optimizing JVM and Linux kernel for optimal performance
• Managing our own data center spread across the globe consisting of thousand of powerful servers
• Working on some of the most challenging problems of Ad-Tech

Sounds interesting. Isn't it?

About the Role

We are looking for a DevOps Engineer to build and scale the backbone of our global RTB platform. You will move beyond manual server management to engineer automated, self-healing infrastructure that handles petabytes of data with sub-millisecond latency. This role is about treating our private data centers like a programmable cloud.

Responsibilities

- Engineering and Provisioning -

• Develop and maintain automated provisioning pipelines (PXE, ZTP) to deploy bare-metal servers ( configure hardware, peripherals, services, settings, directories, storage, etc. in accordance with standards and project/operational requirements) at scale across global data centers.
• You research and recommend innovative and automated approaches for system administration tasks.

- Operations and Support -

• You perform regular security monitoring to identify any possible intrusions.
• You repair and recover from hardware or software failures, coordinating with impacted teams.

- Maintenance -

• You apply OS patches and upgrades on a regular basis, and upgrade administrative tools and utilities.
• You maintain data center environmental and monitoring equipment.
• You perform ongoing performance tuning, hardware upgrades, and resource optimization as required.

Requirements

• You are flexible to work in rotational shifts as part of the incidence response team.
• You have a Bachelor degree, with a technical major, such as engineering or computer science.
• You have good knowledge of coding with Shell and Python/Java and SQL commands.
• Hands-on experience with Terraform or Ansible or Puppet/Chef for managing bare-metal configurations and automations.
• Strong understanding of L4/L7 load balancing (HAProxy/Nginx) and network performance tuning (TCP/IP stack optimization).
• You have 8+ years of system administration/debugging experience, scripting and related tools.
• You have good knowledge on pipeline/orchestration tools like Jenkins/Ariflow and similar platforms  as mandatory. 
• You have good knowledge on Observability platform experience (Prometheus, Grafana, InfluxDB) as mandatory
• You have good knowledge of Kubernetes will be an added advantage.
• You have systems Administration/System Engineer certification in Unix will be an added advantage.

What do we offer?

• Reporting directly to Co-founder & CTO
• Direct access to top management and an extremely “visible” role
• Exceptional career growth and learning opportunity
• A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market
• A fun, driven, and multinational team located across Germany, India, UK, Argentina, Ukraine, Turkey, Spain  and many more countries
• A flexible work-from-home arrangement
• A 500-dollar home-office setup budget
• A 1000-dollar annual learning and development budget

(P-1174)

We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide.

Key Characteristics

As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone. 

Job Description

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers
• Low level systems debugging, performance measurement & optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• A strong influencer or driver in the organization’s roadmap and direction.
• Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.
• Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).
• Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience driving company initiatives towards customer satisfaction.

(P-1174)

We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide.

Key Characteristics

As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone. 

Job Description

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers
• Low level systems debugging, performance measurement & optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• A strong influencer or driver in the organization’s roadmap and direction.
• Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.
• Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).
• Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience driving company initiatives towards customer satisfaction.

P-1348

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is important to making customers successful on our platform.

We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

As a Senior Software Engineer working on the Data Platform team you will help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, Applied AI and many more. You will develop a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, data consumption layers etc. You will do this using the latest, bleeding-edge Databricks product and other tools in the data ecosystem - the team also functions as a large, production, in-house customer that dog foods Databricks and guides the future direction of the product.

The impact you will have:

• Design and run the Databricks metrics store that enables all business units and engineering teams to bring their detailed metrics into a common platform for sharing and aggregation, with high quality, introspection ability and query performance.
• Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks. You’ll play a key role in developing the right balance of data protections and ease of shareability for the Data Intelligence Platform as we transition to a public company.
• Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies and deployment types. This includes CI/CD processes, test frameworks for pipelines and data quality, and infrastructure-as-code tooling.
• Design the base ETL framework used by all pipelines developed at the company.
• Partner with our engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product.
• Build reliable data pipelines and solve data problems using Databricks, our partner’s products and other OSS tools. Provide early feedback on the design and operations of these products.
• Establish conventions and create new APIs for telemetry, debug, feature and audit event log data, and evolve them as the product and underlying services change.
• Represent Databricks at academic and industrial conferences & events.

What we look for:

• 6+ years of industry experience 
• 4+ years of experience providing technical leadership on large projects similar to the ones described above - ETL frameworks, metrics stores, infrastructure management, data security.
• Experience building, shipping and operating reliable multi-geo data pipelines at scale.
• Experience working with and operating workflow or orchestration frameworks, including open source tools like Airflow and DBT or commercial enterprise tools.
• Experience with large-scale messaging systems like Kafka or RabbitMQ or commercial systems.
• Excellent cross-functional and communication skills, consensus builder.
• Passion for data infrastructure and for enabling others by making their data easier to access.

About the role:

Samsara Technologies India Private Limited is looking for an experienced Senior Software Engineer to be part of our Platform & Infrastructure organization. This org is responsible for building the foundational systems that drive Samsara's products. Our work includes areas such as data insights, reporting, enterprise management, integration capabilities, and foundational infrastructure such as container orchestration, data storage, real-time data ingestion, and GraphQL execution.

This is a hybrid position requiring 3 days per week in our Bengaluru office in India. This position requires working hours in IST.

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number: Samsara Technologies India Private Limited engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Technologies India Private Limited Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.
  
  

In this role, you will:

• Work with product managers, staff engineers, and internal/external customers to architect, build, test, and deliver full stack features across front-end, back-end, and mobile.
• Continuously evaluate and improve the performance, reliability, and user experience of our applications.
• Propose technical solutions and spearhead technical solutioning on some of the team’s initiatives.
• Help mentor, develop, and support other engineers on the team.
• Maintain a regular feedback loop to allow for implementation iterations and making adjustments.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices
  
  

Minimum requirements for the role:

• Bachelor's Degree in Computer Science/Engineering or equivalent practical experience
• 5+ years of relevant industry experience in software development
• Strong programming/coding fundamentals with proficiency in at least one of the following: Go, GraphQL, TypeScript, React, Kotlin or similar frameworks.
• Excellent communication, collaboration, and problem-solving skills, with a demonstrated ability to manage technical discussions and mentor junior engineers.
  
  

An ideal candidate also has:

• Expertise working with web services at massive scale deployed on hyperscalers such as AWS, GCP or Azure.
• Is an expert in writing high-quality, performant, and maintainable code in a modern programming language.
• Expertise working on large-scale enterprise software applications
  
  

At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems. We are committed to increasing diversity across our team and ensuring that Samsara is a place where people from all backgrounds can make an impact.

Benefits

Full time employees receive a competitive total compensation package along with employee-led remote and flexible working, health benefits, Samsara for Good charity fund, and much, much more. Take a look at our Benefits site to learn more.

Accommodations

Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.

Flexible Working

At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.

Fraudulent Employment Offers

Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in ‘@samsara.com’ or ‘@us-greenhouse-mail.io’. For more information regarding fraudulent employment offers, please visit our blog post here.

About the role

We are building a founding firmware engineering team in India and are looking for strong Firmware Engineers who want to own the foundation of new hardware platforms from day one. This role is focused on low level firmware development, early board bring up, and system level enablement across microcontrollers and infotainment class SoCs.

As a founding member of this team, you will work close to the hardware and have end to end ownership from first power on through a stable, production ready platform. Your work will define boot flows, OS bring up, performance characteristics, and power behavior that future products and teams will build on.

This is a deeply hands-on role for engineers who enjoy operating at the boundary of hardware and software, solving hard problems, and setting technical direction rather than inheriting it. You will collaborate closely with global teams, silicon vendors, and hardware partners while helping establish best practices and technical standards for the India organization.

At Applied Intuition, you will:

• Lead board bring up for new hardware platforms including microcontrollers and infotainment SoCs
• Develop and debug bootloaders and early boot software
• Bring up and customize FreeRTOS, QNX, Linux, and Android on new boards
• Work on Linux kernel and device driver enablement for custom hardware
• Optimize boot time, system startup, and runtime performance
• Drive power optimization across boot, idle states, and active workloads
• Debug complex hardware and software issues using JTAG, logic analyzers, and low level logs
• Collaborate closely with hardware teams, BSP vendors, and silicon partners
• Support system integration, validation, and bring up on real target hardware

We're looking for someone who has:

• 4+ years of strong experience in firmware or low level embedded systems development
• A Bachelor's degree in Computer Science, Embedded Software, Mechatronics, or equivalent
• Hands on experience with board bring up for MCUs or SoCs
• Deep knowledge of FreeRTOS and or QNX for embedded systems
• Experience working with Linux kernel or Android at the platform level
• Solid understanding of bootloaders such as U Boot or custom boot flows
• Strong C and C++ programming skills
• Experience debugging early boot and hardware dependent issues
• Understanding of power management, boot optimization, and performance tuning
• Comfort working close to hardware and reading schematics and datasheets
• Ability to work independently and take ownership from bring up to stabilization

Nice to have:

• Experience with BSP customization and silicon vendor SDKs
• Familiarity with secure boot, firmware update flows, or OTA mechanisms
• Experience supporting customer facing engineering or production bring up
• Experience with cloud-connected vehicle platforms, SDV architectures, and AI-driven automotive applications
• Knowledge of functional safety (ASIL levels), cybersecurity (ISO 21434), and AUTOSAR tooling

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: 2,165,800 - 5,000,000 INR annually.

P-926

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. We're only getting started in Bengaluru, India  - and are currently in the process of setting up 10 new teams from scratch! 

Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is important to making customers successful on our platform.

We develop and operate one of the largest-scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

As a software engineer in the Observability team, you will develop observability solutions that provide insights into the health and performance of our products and infrastructure.

The impact you'll have:

• Establish standards for logging, metrics, and tracing.
• You will collaborate with different teams to identify metrics that allow engineers to observe how well the system and different subcomponents are performing.
• You will build tooling and infrastructure to allow components to efficiently emit, aggregate, and store metrics that can be displayed on dashboards and used for alerting.
• Ensure the scalability, performance, and reliability of systems by contributing to and executing the technical roadmap.
• Participate in on-call rotations and reduce incident response times to maintain operational excellence.
• Optimize platform and infrastructure by analyzing system expenses, enhancing visibility, promoting mindful usage, enforcing retention policies, streamlining queries, and right-sizing resources to reduce observability costs.

What we look for:

• BS (or higher) in Computer Science, or a related field.
• 7+ years of production-level experience in one of: Python, Java, Scala, C++, or similar languages.
• Experience in software development, in large-scale distributed systems
• Familiarity with metrics collection, health monitoring, and observability tools

We are expanding our engineering team in India (Bangalore) and are seeking a Staff Software Engineer to help design, implement, and scale Five9’s next-generation cloud-native services. This role is ideal for engineers who thrive on hands-on coding, technical depth, and building complex distributed systems.

Role Overview

As a Staff Engineer at Five9, you will work on core backend services that power our global cloud contact center platform. You’ll have the opportunity to tackle hard engineering problems at scale, remain deeply involved in coding, and contribute to a culture that values craftsmanship, innovation, and technical excellence — while mentoring others and shaping best practices along the way.

Key Responsibilities

• Design, develop, and optimize high-performance microservices using Java and Spring Boot
• Write clean, maintainable, and testable code, with a strong focus on scalability, reliability, and performance
• Take ownership of services end-to-end — from design and implementation to deployment, monitoring, and ongoing operations
• Collaborate with architects and senior engineers on system design, technical reviews, and problem-solving
• Ensure services meet SLAs, performance metrics, and security standards
• Contribute to improving CI/CD pipelines, automation, and observability to reduce manual effort and improve service reliability
• Provide technical guidance and mentorship to mid-level and junior engineers through code reviews, pairing, and knowledge sharing
• Stay current with evolving technologies and help evaluate and adopt tools that strengthen our platform

Qualifications & Skills

• Strong debugging and problem-solving skills, with an ability to dive deep into complex production issues
• 7-10 Years of development experience in Java Microservices
• Deep expertise in Java with strong experience in Spring or Spring Boot
• Proven ability to build and operate distributed, cloud-native microservices at scale
• Strong experience with GCP services (e.g., GKE, Pub/Sub, BigQuery, CockroachDB, Redis)
• Experience with Kubernetes, containerization, and CI/CD pipelines (GitLab or similar)
• Practical knowledge of SQL and NoSQL databases and caching strategies
• Solid understanding of system design, data structures, algorithms, and performance optimization
• Understanding of Product Archietecture

Preferred Skills (Nice to have)

• Exposure to voice and telephony systems (SIP, RTP, IVR, call routing) or real-time communication platforms
• Experience in latency-sensitive, high-throughput systems
• Familiarity with Looker, analytics pipelines, and large-scale reporting systems
• Familiarity with Agile, Jira, Confluence, E2E test, etc

Technology & Tools

• Languages & Frameworks: Java, Spring, Spring Boot
• Cloud & Infrastructure: GCP (GKE, Pub/Sub, BigQuery, CockroachDB, Redis), Kubernetes
• DevOps & CI/CD: Git, GitLab CI/CD
• Collaboration & Documentation: Swagger, JIRA, Confluence
• Hardware: Apple MacBook options available

(P-1174)

We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide.

Key Characteristics

As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone. 

Job Description

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers
• Low level systems debugging, performance measurement & optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• A strong influencer or driver in the organization’s roadmap and direction.
• Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.
• Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).
• Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience driving company initiatives towards customer satisfaction.

About The Role

Cerebras Systems is a pioneer in large-scale AI Supercomputers. These multi-exaflop supercomputers are deployed in some of the biggest datacenters. These supercomputers are built using our Wafer-Scale Cluster technology - a cluster of several Wafer Scale Engine (WSE) chips. The Cluster engineering team is responsible for delivering software that are all-things related to cluster.

Responsibilities

• Automate bare-metal configuration of networking, OS, and application software in large clusters of Cerebras WSE, servers, and switches.
• Additional push button workflows for cluster upgrades, downgrades, and security patching with key metrics to minimize downtime on clusters.
• An orchestration and scheduler system for resource allocation, job submission C placements for a multi-user environment on a cluster.
• Seamless support for both on-premise and cloud mode deployment and operations.
• A robust system for monitoring, detecting and handling failures for a variety of resources on the clusters (including High Availability of clusters).
• Broad cluster and job monitoring and visualization capabilities, along with alerting systems.
• User facing tools to monitor the status of jobs and collect metrics.
• Administrator facing tools to manage and operate large clusters.

Skills & Qualifications

• Strong track record of software architecture, system design and development.
• Strong track record of development in distributed cluster.
• Strong understanding of Kubernetes (K8s) software ecosystem, Prometheus and Grafana.
• Strong development skills in GoLang, Python, bash.
• Strong debugging skills with distributed systems.
• Strong skill to develop tests for the new features and regress old features.

The Role:
In this exciting role, you will be responsible for bring up and optimizations of Cerebras’s Wafer Scale Engine (WSE). Suitable candidate will have experience delivering end to end solutions working closely with teams across chip design, system performance, software development and productization.

Responsibilities:

• On Wafer Scale Engines, develop and debug flows that embed well tested and deployable optimizations in production processes to reduce time and costs 
• Work on refining AI Systems across H/W-S/W design constraints such as di/dt, V-F characterization space, current and temperature limits in relation to optimizations for performance.
• Develop/Enhance infrastructure to enable silicon for real world workload testing
• Develop self-checking metrics, as well as instrumentation for debug and coverage
• Work with the silicon architects/designers, performance engineers and software engineers to enhance performance of Wafer Scale Engines.
• Work across domains such as, Software, Design, Verification, Emulation & Validation to refine and optimize performance and process.
• Work with CI/CD tools, git repositories, github, git actions/Jenkins, merge and release flows to streamline test and release.

Skills & Qualifications:

• BS/BE/B.Tech or MS/M.Tech in EE, ECE, CS or equivalent work experience
• 7-10+ years of industry experience
• 3-5 years of experience in Pre-silicon & Post Silicon ASIC hardware
• Good understanding of computer architecture and networking
• Excellent Coding in languages such as Python/Verilog/System Verilog and C
• Proficient in hardware/software codesign and layered architectures.
• Excellent debugging, analytical, and problem-solving skills
• Proficient in large scale testing and automation using pytest and python
• Good presentation skills to refine diverse information and put forth optimization strategies and results.
• Good interpersonal skills, ability & desire to work as a standout colleague
• Proven track record of working cross-functionally learning fast and driving issues to closure 

Preferred:

• Previous work in AI-ML with 100+ CPU core & communication fabric-based design.
• Familiarity with in-line testing and diagnostics using CPU memory and execution with self-checking.
• Knowledge of chip defect profiles and mitigation strategies across the hardware and software stack
• Familiarity in creating test and s/w infrastructure at large scale
• Working across global time zones 

Location:
Bangalore, India

Toronto, Canada

Sunnyvale, California.

For Sunnyvale: The base salary range for this position is $175,000 to $275,000 annually.  Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

The Role:
In this exciting role, you will be responsible for bring up and optimizations of Cerebras’s Wafer Scale Engine (WSE). Suitable candidate will have experience delivering end to end solutions working closely with teams across chip design, system performance, software development and productization.

Responsibilities:

• On Wafer Scale Engines, develop and debug flows that embed well tested and deployable optimizations in production processes to reduce time and costs 
• Work on refining AI Systems across H/W-S/W design constraints such as di/dt, V-F characterization space, current and temperature limits in relation to optimizations for performance.
• Develop/Enhance infrastructure to enable silicon for real world workload testing
• Develop self-checking metrics, as well as instrumentation for debug and coverage
• Work with the silicon architects/designers, performance engineers and software engineers to enhance performance of Wafer Scale Engines.
• Work across domains such as, Software, Design, Verification, Emulation & Validation to refine and optimize performance and process.
• Work with CI/CD tools, git repositories, github, git actions/Jenkins, merge and release flows to streamline test and release.

Skills & Qualifications:

• BS/BE/B.Tech or MS/M.Tech in EE, ECE, CS or equivalent work experience
• 7-10+ years of industry experience
• 3-5 years of experience in Pre-silicon & Post Silicon ASIC hardware
• Good understanding of computer architecture and networking
• Excellent Coding in languages such as Python/Verilog/System Verilog and C
• Proficient in hardware/software codesign and layered architectures.
• Excellent debugging, analytical, and problem-solving skills
• Proficient in large scale testing and automation using pytest and python
• Good presentation skills to refine diverse information and put forth optimization strategies and results.
• Good interpersonal skills, ability & desire to work as a standout colleague
• Proven track record of working cross-functionally learning fast and driving issues to closure 

Preferred:

• Previous work in AI-ML with 100+ CPU core & communication fabric-based design.
• Familiarity with in-line testing and diagnostics using CPU memory and execution with self-checking.
• Knowledge of chip defect profiles and mitigation strategies across the hardware and software stack
• Familiarity in creating test and s/w infrastructure at large scale
• Working across global time zones 

Location:

Sunnyvale, California.

Bangalore, India

Toronto, Canada 

The base salary range for this position is $175,000 to $275,000 annually.  Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

About The Role 

As a Research Engineer on the Inference ML team at Cerebras Systems, you will adapt today's most advanced language and vision models to run efficiently on our flagship Cerebras architecture. You'll work alongside ML researchers and engineers to design, prototype, validate, and optimize models, gaining end-to-end exposure to cutting-edge inference research on the world's fastest AI accelerator. 

You will focus on pushing the frontier of speculative decoding, large-model pruning and compression, sparse attention, and sparsity-driven techniques to deliver low-latency, high-throughput inference at scale. 

Responsibilities 

• Implement and adapt transformer-based models (NLP and/or vision) to run on Cerebras hardware
• Assist in optimizing models for inference performance (latency, throughput)
• Run experiments, analyze results, and support model improvements
• Help bring up and validate models on the Cerebras system
• Debug and troubleshoot model or system issues with guidance from senior team members
• Support profiling and performance analysis using internal tools
• Collaborate with cross-functional teams (ML, software, hardware) on model integration

Minimum Qualifications 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 1–3 years of experience in software engineering or machine learning in a similar capacity (internships count)
• Experience with Python and at least one ML framework (e.g., PyTorch, Transformers, vLLM or SGLang)
• Understanding of deep learning concepts (e.g., neural networks, transformers)
• Experience with Generative AI and Machine Learning systems
• Strong programming skills in Python and/or C++

Preferred Qualifications 

• Experience with speculative decoding, neural network pruning and compression, sparse attention, quantization, sparsity, post-training techniques, and inference-focused evaluations. 
• Exposure to large language models or computer vision models
• Experience running experiments or tuning models
• Familiarity with tools like PyTorch, Hugging Face Transformers, or similar
• Basic understanding of performance concepts (e.g., latency, throughput)
• Experience working in Linux environments

The Role 

We are seeking a highly skilled and motivated Manufacturing Bring-up Engineer to join our team. As the Manufacturing Bring-up Engineer you will support our system level bring-up process execution, implementation, and evolution in the manufacturing pipeline. This is a high visibility role that requires strong technical expertise, coordination, and collaboration to deliver our product from manufacturing to the customer. 

Responsibilities 

• Support the Cerebras manufacturing bring-up process execution to configure, test, and validate system performance prior to customer shipment 

• Collaborate cross-functionally with Asic, SW, Diagnostics, and QA teams to further automate and streamline the workflow for optimal manufacturing efficiency 

• Troubleshoot and resolve technical issues during system bring-up across Asic, SW, and QA domains 

• Design and implement efficient processes to manage and track system bring-up status and progress 

• Track and report on critical bring-up metrics to drive continuous improvement  

• Implement further SW automation and efficiencies to effectively scale the manufacturing bring-up process in support of the manufacturing roadmap 

Skills & Qualifications 

• BS or MS in EE, ECE, CS or equivalent work experience 

• 3+ years of industry experience in an operations environment 

• Experience in hardware bring-up and the debug of complex systems 

• Working knowledge and experience in Asic bringup and test processes 

• Working knowledge of scripting in languages such as Python and/or Perl 

• Proven experience in system bring-up and validation of complex computer systems or equivalent technologies 

• Understanding of computer system architecture and hardware components  

• Proficiency in scripting and automation tools for system bringup  

• Excellent problem-solving and communication skills with the ability to work collaboratively in a fast-paced environment 

• Very strong coordination and collaboration skills to manage a business-critical workflow directly in support of customer demand 

Preferred: 

• Familiarity in creating test and s/w infrastructure at large scale 

• Working across global time zones  

Location 

Sunnyvale, California/ Bangalore, India/Toronto, Canada.

The base salary range for this position is $170,000 to $230,000 annually.  Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

The Role 

We are seeking a highly skilled and motivated Manufacturing Bring-up Engineer to join our team. As the Manufacturing Bring-up Engineer you will support our system level bring-up process execution, implementation, and evolution in the manufacturing pipeline. This is a high visibility role that requires strong technical expertise, coordination, and collaboration to deliver our product from manufacturing to the customer. 

Responsibilities 

• Support the Cerebras manufacturing bring-up process execution to configure, test, and validate system performance prior to customer shipment 

• Collaborate cross-functionally with Asic, SW, Diagnostics, and QA teams to further automate and streamline the workflow for optimal manufacturing efficiency 

• Troubleshoot and resolve technical issues during system bring-up across Asic, SW, and QA domains 

• Design and implement efficient processes to manage and track system bring-up status and progress 

• Track and report on critical bring-up metrics to drive continuous improvement  

• Implement further SW automation and efficiencies to effectively scale the manufacturing bring-up process in support of the manufacturing roadmap 

Skills & Qualifications 

• BS or MS in EE, ECE, CS or equivalent work experience 

• 3+ years of industry experience in an operations environment 

• Experience in hardware bring-up and the debug of complex systems 

• Working knowledge and experience in Asic bringup and test processes 

• Working knowledge of scripting in languages such as Python and/or Perl 

• Proven experience in system bring-up and validation of complex computer systems or equivalent technologies 

• Understanding of computer system architecture and hardware components  

• Proficiency in scripting and automation tools for system bringup  

• Excellent problem-solving and communication skills with the ability to work collaboratively in a fast-paced environment 

• Very strong coordination and collaboration skills to manage a business-critical workflow directly in support of customer demand 

Preferred: 

• Familiarity in creating test and s/w infrastructure at large scale 

• Working across global time zones  

Location 

Bangalore, India/Toronto, Canada/ Sunnyvale, California.

The base salary range for this position is $170,000 to $230,000 annually.  Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

About The Role

As a Kernel Engineer on our team, you will develop high-performance software solutions at the intersection of hardware and software, developing high-performance software for cutting-edge AI and HPC workloads. Your focus will be on implementing, optimizing, and scaling deep learning operations to fully leverage our custom, massively parallel processor architecture.

You will be part of a world-class team responsible for the design, performance tuning, and validation of foundational ML and HPC kernels. This includes building a library of parallel and distributed algorithms that maximize compute utilization and push the boundaries of training efficiency for state-of-the-art AI models. Your work will be critical to unlocking the full potential of our hardware and accelerating the pace of AI innovation.

Responsibilities 

• Develop design specifications for new machine learning and linear algebra kernels and mapping to the Cerebras WSE System using various parallel programming algorithms.
• Develop and debug kernel library of highly optimized low level assembly instruction and C-like domain specific language routines to implement algorithms targeting the Cerebras hardware system.
• Develop and debug high-performance kernel routines in low-level assembly and a custom C-like (CSL) language, implementing algorithms optimized for the Cerebras hardware system.
• Using mathematical models and analysis to measure the software performance and inform design decisions.
• Develop and integrate unit and system testing methodologies to verify correct functionality and performance of kernel libraries.
• Study emerging trends in Machine Learning applications and help evolve Kernel library architecture to address computational challenges of the start-of-the-art Neural Networks.
• Interact with chip and system architects to optimize instruction sets, microarchitecture, and IO of next generation systems.

Skills & Qualifications 

• Bachelor’s, Master’s, PhD, or foreign equivalent in Computer Science, Computer Engineering, Mathematics, or a related field. 
• Proven experience leading technical teams, including mentoring engineers, setting technical direction, and driving execution. 
• Strong understanding of hardware architecture concepts and willingness to dive into new system architectures. 
• Proficiency in C++ and Python; experience with low-level systems programming. 
• Familiarity with library/API development best practices and performance optimization. 
• Excellent debugging skills across complex, layered software stacks. 

Preferred Skills & Qualifications 

• Experience leading teams in kernel development, performance optimization, or low-level systems programming. 
• Strong background in parallel algorithms and distributed memory systems. 
• Hands-on experience with accelerators such as GPUs, FPGAs, or other custom hardware. 
• Familiarity with machine learning workloads and frameworks like TensorFlow and PyTorch. 
• Understanding of HPC kernels and strategies for optimizing them on modern architectures.

Position Overview

We are seeking a versatile Robotics Engineer to develop and implement software solutions for our manipulation systems. The ideal candidate will have experience in controls, perception, and planning. You will be working on deploying state-of-the-art learning-based algorithms on real robot setups, focused on daily manipulation tasks. This role will require close collaboration with researchers and the ML team. The ideal candidate should be comfortable with building high-quality software for robotic manipulation and deploying it on robot hardware.

Responsibilities

• Help design algorithms, models, and techniques for various robotic manipulation tasks.
• Design hardware and software systems for various robotic manipulation tasks.
• Write controllers and perception stacks for real-world robotic deployment.
• Write and maintain production-level C++ and Python code for our robotic manipulation platforms.
• Collaborate with machine learning engineers to deploy state-of-the-art models on our robots.
• Continuously improve and optimize robotic software for performance, reliability, and scalability.

Preferred Qualifications

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Experience in designing robotic manipulation systems and deploying software on real robots.
• Experience with writing controllers and knowledge of robotics (e.g., kinematics, dynamics, control, motion planning, SLAM).
• Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
• Systems-level understanding of the various software modules and their interfaces in a robotic application (ROS/ROS2, simulators, etc.).
• Publications at top-tier ML, robotics or CV conferences (e.g., NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, CVPR, ECCV, ICCV).
• Experience with designing custom robot hardware solutions.
• Proficiency with various robot learning techniques (RL, imitation learning, etc.).
• Experience working with modern computer vision algorithms, sensors (LiDAR, camera, radar, etc.), 3D (meshes, point clouds, etc.), segmentation, tracking, object detection.

Position Overview

We are seeking a proficient Firmware Engineer that will develop and optimize firmware for BLDC motor control and real-time embedded systems. Key responsibilities include implementing control algorithms, debugging communication protocols, and integrating firmware with frameworks like ROS, while collaborating with hardware teams to ensure system performance. 

Responsibilities

• Develop and optimize firmware for BLDC motor control, including advanced control algorithms and system identification.
• Design, debug, and integrate low-level communication protocols such as RS-485, CAN, UART, and SPI.
• Implement and maintain real-time systems using RTOS (e.g., FreeRTOS, RT Linux, VxWorks).
• Collaborate with hardware engineers to design and validate motor driver circuits and power electronics systems.
• Integrate firmware into higher-level communication frameworks, such as DDS (Distributed Data Service), e.g., ROS.
• Test, validate, and debug firmware systems in the lab.
• Document firmware design processes and contribute to best practices.

Preferred Qualifications

• Bachelor’s or Master’s degree in Electrical Engineering, Robotics, or Mechatronics.
• Hands-on experience in firmware development for robotics, motor control, or embedded systems.
• Expertise in BLDC motor control, including FOC (Field-Oriented Control), PWM, and current/position control techniques.
• Proficiency in low-level communication protocols such as RS-485, CAN, and SPI.
• Experience with real-time embedded systems (e.g., FreeRTOS, RT Linux).
• Familiarity with DDS frameworks (e.g., ROS).
• Proficient in C/C++ for embedded systems and adept with debugging tools.
• Excellent problem-solving skills and ability to handle complex system integration challenges.

Position Overview

We are looking for Hardware Engineers to help build and maintain our robotic systems. You will be responsible for designing, developing, and testing hardware systems that integrate mechanical as well as electrical components. You will work closely with cross-functional teams to ensure our products achieve the highest standards of performance, reliability, and efficiency.

Responsibilities

• Design and develop hardware systems, including circuit boards, processors, and mechanical assemblies.
• Create detailed CAD models and drawings for jigs, fixtures, and tools using SolidWorks or other CAD software for mechanical components.
• Utilize 3D printing and rapid prototyping techniques to develop and test hardware prototypes.
• Collaborate with software engineers, mechanical engineers, and other team members to integrate hardware with software and mechanical designs.
• Conduct tests and simulations to ensure the functionality and reliability of hardware systems.
• Troubleshoot and resolve hardware issues and provide technical support during the product development lifecycle.
• Prepare documentation for hardware designs, specifications, and test procedures.

Preferred Qualifications

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Proven experience in hardware design and development, including both electrical and mechanical components.
• Proficiency in SolidWorks or other CAD software for mechanical design.
• Experience with Arduino or similar platforms for electronic prototyping and control systems.
• Familiarity with 3D printing and rapid prototyping techniques.
• Strong understanding of electronic components, circuit design, and signal processing.
• Experience with testing and debugging hardware systems.

Position Overview

We are looking for a Senior Software Engineer to enhance the performance, reliability, and maintainability of our cutting-edge robotics systems in deployment. You will design, implement, and maintain software systems for deployment in real-world robotic products. This role involves leading discussions and collaborating with machine learning, deployment, test, and security engineers to ensure seamless integration of our machine learning models into practical applications. You will also define technical roadmaps and drive product and system architecture direction.

Responsibilities

• Architect, build, and maintain deployment software infrastructure and back-end services (e.g., model training infrastructure, AI developer tools, metrics dashboards).
• Lead teams to develop reliable software systems with robust testing, metrics, and logging mechanisms.
• Write and review code, develop documentation, create capacity plans, and debug on robot hardware.
• Collaborate with cross-functional teams to define technical roadmaps and drive the direction of product and system architecture.
• Share an on-call rotation with the engineering team to ensure system reliability and quick issue resolution.

Preferred Qualifications

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Minimum of 3 years of industry experience.
• Proficiency developing higher-level languages (e.g. Python, C++, or Java).
• Experience in configuration and maintenance of applications such as web servers, load balancers, relational databases, storage systems, and messaging systems.
• Knowledge of Linux OS fundamentals, memory management, and kernel.
• Experience learning software, frameworks, and APIs.
• Experience with enterprise security.
• Previous extensive work experience as a: Systems Engineer, Software Engineer, DevOps Engineer, Network Engineer, Systems Administrator, Linux Administrator, Database Administrator, Site Reliability Engineer (SRE), or similar.

Position Overview

We are looking for a Software Engineer to work at the forefront of deploying our cutting-edge AI models, enhancing the performance and capabilities of our embodied systems. You will be responsible for optimizing AI inference processes from lightweight to billion-parameter models, ensuring our robots operate with unmatched efficiency and intelligence in real-world environments. You will work at the intersection of systems and machine learning, directly contributing to making our AI models more powerful and adaptive by ensuring consistent performance in light of variable and perhaps unforeseen compute and hardware constraints.

Responsibilities

• Develop and optimize runtime AI inference pipelines for real-world robotic deployment.
• Build infrastructure, frameworks, and tooling to enable reliable integration of models into robotic systems and informative analysis of production models to drive the direction of architecture choice and deployment system design.
• Formulate specialized optimization solutions for various inference paradigms and scenarios (autoregressive models, denoising models, hierarchical models, state machines, multi-agent systems, cloud-based inference).
• Adapt optimization solutions to various compute, hardware, and networking constraints.

Preferred Qualifications

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Minimum of 3 years of industry experience.
• Proficiency developing in low-level systems languages (C, C++, Rust, Go), Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
• Deep understanding and practical experience with low-level systems concepts (multithreading, networking, embedded systems, memory management).
• Experience with CUDA.
• Deep understanding of state-of-the-art machine learning techniques and models.
• Experience optimizing various machine learning architectures.
• Experience with machine learning compilers.
• Experience optimizing model inference for robotic systems deployment.

What You Will Do:

Get ready to dive into an exhilarating journey as you work on the bring-up, validation, and debugging of a groundbreaking interference accelerator chip/chiplets! Here’s what you can look forward to:

• Work on chip(s) bring up, validation and debug of cutting-edge interference accelerator chiplet. This includes cutting-edge technology: test and validate high-speed serial protocols like PCIe Gen5, high-speed memory interfaces such as LPDDR5, and die-to-die chiplet interconnect blocks.
• Innovate and execute:** Create and implement comprehensive test bring-up and validation plans alongside your dynamic team, develop automated randomization of software/firmware kernel functions and logging instrumentation in conjunction with self-checking post processors
• Craft impactful test scripts:** Develop test scripts and embedded firmware functions for host systems that will test and validate aspects of our high-speed interfaces, including PCIe, LPDDR, and D2D, pushing the boundaries of what's possible.
• Equip your workspace: Collaborate with your team to procure and acquire the latest lab equipment, ensuring you have the tools needed to succeed.
• Collaborate and conquer:** Work hand-in-hand with hardware, software, and operations teams on exciting challenges such as ATE tests and hardware/software debugging, fostering a spirit of teamwork and innovation.

What you will bring:

• Do you have the following qualifications and Experience?
• BS/MS in Electrical/Computer Engineering with 5 + years industry experience working with high performance SoC
• Familiarity with high speed serial protocol (such as PCIe Gen3/4/5) and/or high speed external memory technology (such as LPDDR3/LPDDR4/LPDDR5 and/or high speed I/O standards.
• Excellent debugging verbal and written communication skills
• Capable of working effectively across cross functional organizational boundaries.

P-1394

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines.

Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is important to making customers successful on our platform.

We develop and operate one of the largest-scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

As a Senior Software engineer in the Observability team, you will develop observability solutions that provide insights into the health and performance of our products and infrastructure.

The impact you'll have:

• Establish standards for logging, metrics, and tracing.
• You will collaborate with different teams to identify metrics that allow engineers to observe how well the system and different subcomponents are performing.
• You will build tooling and infrastructure to allow components to efficiently emit, aggregate, and store metrics that can be displayed on dashboards and used for alerting.
• Ensure the scalability, performance, and reliability of systems by contributing to and executing the technical roadmap.
• Participate in on-call rotations and reduce incident response times to maintain operational excellence.
• Optimize platform and infrastructure by analyzing system expenses, enhancing visibility, promoting mindful usage, enforcing retention policies, streamlining queries, and right-sizing resources to reduce observability costs.

What we look for:

• BS (or higher) in Computer Science, or a related field.
• 7+ years of production-level experience in one of: Python, Java, Scala, C++, or similar languages.
• Experience in software development in large-scale distributed systems.
• Familiarity with metrics collection, health monitoring, and observability tools

P-1385

We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide.

Key Characteristics

As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone.

Job Description

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

The Impact You Will Have

• Solve real business needs at large scale by applying your software engineering.
• Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers
• Low level systems debugging, performance measurement & optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• A strong influencer or driver in the organization’s roadmap and direction.
• Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.
• Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).
• Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.
  
  

What We Look For

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience driving company initiatives towards customer satisfaction.

P-1348

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is important to making customers successful on our platform.

We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

As a Staff Software Engineer working on the Data Platform team you will help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, Applied AI and many more. You will develop a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, data consumption layers etc. You will do this using the latest, bleeding-edge Databricks product and other tools in the data ecosystem - the team also functions as a large, production, in-house customer that dog foods Databricks and guides the future direction of the product.

The impact you will have:

• Design and run the Databricks metrics store that enables all business units and engineering teams to bring their detailed metrics into a common platform for sharing and aggregation, with high quality, introspection ability and query performance.
• Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks. You’ll play a key role in developing the right balance of data protections and ease of shareability for the Data Intelligence Platform as we transition to a public company.
• Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies and deployment types. This includes CI/CD processes, test frameworks for pipelines and data quality, and infrastructure-as-code tooling.
• Design the base ETL framework used by all pipelines developed at the company.
• Partner with our engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product.
• Build reliable data pipelines and solve data problems using Databricks, our partner’s products and other OSS tools. Provide early feedback on the design and operations of these products.
• Establish conventions and create new APIs for telemetry, debug, feature and audit event log data, and evolve them as the product and underlying services change.
• Represent Databricks at academic and industrial conferences & events.

What we look for:

• 12+ years of industry experience 
• 4+ years of experience building large scale distributed systems
• 5+ providing technical leadership on large projects similar to the ones described above - ETL frameworks, metrics stores, infrastructure management, data security.
• Experience building, shipping and operating reliable multi-geo data pipelines at scale.
• Experience working with and operating workflow or orchestration frameworks, including open source tools like Airflow and DBT or commercial enterprise tools.
• Experience with large-scale messaging systems like Kafka or RabbitMQ or commercial systems.
• Excellent cross-functional and communication skills, consensus builder.
• Passion for data infrastructure and for enabling others by making their data easier to access.