Bengaluru, Karnataka, India · On-site
$175k–$275k/yr
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale …
Skills: Post Silicon Bring Up, ASIC Hardware, Computer Architecture, Python, Verilog
Bengaluru, Karnataka, India · On-site
$175k–$275k/yr
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale …
Skills: Post Silicon Bring Up, ASIC Hardware, Computer Architecture, Python, Verilog
Bengaluru, Karnataka, India · On-site
Data Architect (Azure) with preferable Teradata Experience Requirements Job Title: Data Architect Experience: 10+ Years (can be adjusted) Location: [Onsite / Hybrid / Remote] Employment Type: Full-time Job Summary We are…
Skills: Data Modeling, SQL, Azure Synapse, ETL/ELT, Teradata
Bengaluru, Karnataka, India · On-site
Requirements Role: MS Fabric Architect CORE RESPONSIBILITIES: · MS Fabric Solutions Architect will take the ownership of the strategic solution architecting and delivery including designing, refining, and uplifting data …
Skills: MS Fabric, Data Architecture, Data Modeling, Cloud Migration, SQL
Bengaluru, Karnataka, India · On-site
Requirements Network Engineer Key Responsibilities: Design, deploy, and manage enterprise LAN/WAN, VPN, and cloud network infrastructure. Configure and maintain firewalls (e.g., Palo Alto, Fortinet, Cisco ASA/Firepower, …
Skills: LAN/WAN, VPN, Firewall Management, Network Security, BGP
Bengaluru, Karnataka, India · On-site
Requirements We are seeking a highly skilled Teradata Engineer with strong expertise in database engineering, administration, and optimization. The ideal candidate will have hands-on experience in Teradata SQL, UNIX shel…
Skills: Teradata SQL, UNIX Shell Scripting, Database Administration, Performance Tuning, BTEQ
Bengaluru, Karnataka, India · On-site
$500k–$1000k/yr
The Role As a Field Application Engineer — IC Design & Verification, you will be the technical expert for GSAS's semiconductor EDA portfolio — covering IC physical verification and signoff, silicon test and yield optimiz…
Skills: IC Physical Verification, DFT Engineering, Analog Mixed-Signal Design, DRC/LVS, ATPG
Bengaluru, Karnataka, India · On-site
$500k/yr
The Role As a Field Applications Engineer – Test & Measurement Instruments, you'll be the bridge between GSAS's instrumentation portfolio and the engineers who use it. You'll work directly with design, validation, and pr…
Skills: Oscilloscopes, Logic Analyzers, Signal Generators, Protocol Analyzers, Power Analyzers
Bengaluru, Karnataka, India · On-site
We are seeking a highly skilled Teradata Engineer with strong expertise in database engineering, administration, and optimization. The ideal candidate will have hands-on experience in Teradata SQL, UNIX shell scripting, …
Skills: Teradata SQL, UNIX Shell Scripting, Database Administration, Performance Tuning, BTEQ
Bengaluru, Karnataka, India · On-site
Strong proficiency in Python, Java, or Scala, with experience building data pipelines, AI/ML workflows, or microservices architectures. Must have AzureML experience Expertise in machine learning, and cloud computing (Azu…
Skills: Python, Java, Scala, Azure ML, Machine Learning
Bengaluru, Karnataka, India · On-site
Overview At Blackhawk Network (BHN), we connect people to brands they love through gift cards, rewards, and payment experiences that reach millions globally. Powering this ecosystem are our Core Systems and Platforms—the…
Skills: Product Management, Platform Strategy, API Design, Microservices, Cloud Infrastructure
Bengaluru, Karnataka, India · On-site
Qualifications Mandatory Skills: 2 to 5 year of experience developing software using .NET and WPF.Proficient in C#, .NET, WPF/XAML, Web APIs, LINQ, Entity Framework, SQL.Experience working on at least one SOA or microser…
Skills: C#, .NET, WPF, XAML, Web APIs
Bengaluru, Karnataka, India · On-site
Company Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, g…
Skills: Infrastructure as Code, CI/CD, Docker, Kubernetes, Python
Bengaluru, Karnataka, India · On-site
$500k–$1000k/yr
The Role As a Field Application Engineer — Electronic Systems Design, you will be the technical authority for GSAS's PCB design and manufacturing preparation portfolio. You'll work with hardware design teams, signal inte…
Skills: PCB Design, Signal Integrity Analysis, Power Integrity Analysis, EDA Tools, DFM/DFA Validation
Bengaluru, Karnataka, India · On-site
$500k–$1000k/yr
The Role As a Technical Sales Engineer – Test & Measurement Instruments, you'll be the bridge between GSAS's instrumentation portfolio and the engineers who use it. You'll work directly with design, validation, and produ…
Skills: Technical Sales, Test & Measurement Instruments, Signal Integrity Analysis, Power Quality Characterization, Protocol Decoding
Bengaluru, Karnataka, India · On-site
$1000k–$1500k/yr
The Role As Sales Manager – Embedded Software Tools, you will lead GSAS's embedded software business across India — owning revenue targets, customer relationships, and market development for a portfolio that spans compil…
Skills: Embedded Systems Development, Technical Pre-sales, C/C++, ARM Cortex Architectures, RTOS
Bengaluru, Karnataka, India · On-site
$1000k–$1500k/yr
The Role As Sales Manager – Test & Measurement Instruments, you will own the growth strategy for GSAS's T&M portfolio across India. You'll work with design engineers, validation teams, R&D managers, and procurement to po…
Skills: B2B Technical Sales, Account Management, Territory Planning, Funnel Management, Technical Consultancy
Bengaluru, Karnataka, India · On-site
$500k–$1000k/yr
About GSAS Micro Systems GSAS Micro Systems is India's leading embedded technology solutions company, representing 23+ global partners across the complete product development lifecycle — from virtual prototyping to produ…
Skills: CAE Simulation, Finite Element Analysis, Multibody Dynamics, Computational Fluid Dynamics, Structural Analysis
Bengaluru, Karnataka, India · On-site
We are seeking a skilled and experienced Data Integration Specialist with over 5 years of experience in designing and developing data solutions using Oracle Data Integrator (ODI). The ideal candidate will have strong exp…
Skills: Oracle Data Integrator, ETL/ELT, SQL, Python, Data Modeling
Bengaluru, Karnataka, India · On-site
1. Participate in Material Handling Studies and Prepare / Check / Approve Material Handling Study Report for Equipment and inline instruments. 2. Familiar with material handling devices catalogues, GA drawings for deck c…
Skills: Material Handling Studies, Navisworks, AutoCAD, Detailed Design, Interface Engineering
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Responsible for the bring-up and optimization of the Wafer Scale Engine, focusing on reducing production time and costs. This involves refining AI systems across hardware and software constraints and developing infrastructure for real-world workload testing.
Requires a degree in EE, ECE, CS or equivalent with 7-10+ years of industry experience, including 3-5 years in Pre-silicon and Post Silicon ASIC hardware. Proficiency in Python, Verilog, and C, along with strong debugging and analytical skills, is essential.
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
About 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.
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
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.
People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
Build a breakthrough AI platform beyond the constraints of the GPU.
Publish and open source their cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
Our simple, non-corporate work culture that respects individual beliefs.
Find out more about what it's like to work at Cerebras here!
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.
Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI. We’re a team of pioneering computer architects, deep learning researchers, and engineers building a new class of AI supercomputers from the ground up. Our flagship system, Cerebras CS-3, is powered by the Wafer Scale Engine 3—the world’s largest and fastest AI processor. CS-3s are effortlessly clustered to create the largest AI supercomputers on Earth, while abstracting away the complexity of traditional distributed computing. From sub-second inference speeds to breakthrough training performance, Cerebras makes it easier to build and deploy state-of-the-art AI—from proprietary enterprise models to open-source projects downloaded millions of times. Here’s what makes our platform different: 🔦 Sub-second reasoning – Instant intelligence and real-time responsiveness, even at massive scale ⚡ Blazing-fast inference – Up to 100x performance gains over traditional AI infrastructure 🧠 Agentic AI in action – Models that can plan, act, and adapt autonomously 🌍 Scalable infrastructure – Built to move from prototype to global deployment without friction Cerebras solutions are available in the Cerebras Cloud or on-prem, serving leading enterprises, research labs, and government agencies worldwide. 👉 Learn more: www.cerebras.ai Join us: https://cerebras.net/careers/
Offices: 1237 E Arques Ave, Sunnyvale, California 94085, US · 150 King St W, Toronto, Ontario M5H 1J9, CA · Tokyo, JP · Bangalore, IN
There are currently 14,186 open engineering positions in Bengaluru, India listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Accenture, PwC, Hewlett Packard Enterprise, Amazon, Qualcomm, among others. Browse the listings above to see every active employer.
Yes — 3139 of the 14186 open engineering positions offer remote or hybrid work (333 remote, 2806 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
