Engineering Jobs in Alviso, CA

Position Title: Director, Product Marketing, Mailchimp

Reports to: Senior Vice President, Marketing

Organization: GBSB Global Business Solutions Group

Location: Mountain View, CA; San Diego, CA; or Atlanta, GA

Intuit is a global platform company that is on a mission to power prosperity around the world for consumers, small businesses and the self-employed. Across our four leading brands – Turbo Tax, Credit Karma, QuickBooks, and Mailchimp – Intuit serves over 100M customers and is one of the few companies in the world to have both a thriving consumer and small business ecosystem. Intuit is known for its innovation track record, customer centricity, and its consistent recognition as a top place to work.

Reporting to the SVP, Marketing, this executive will be responsible for Intuit’s Mailchimp segment, and is accountable for key declared growth initiatives for FY26, including:

• 
  
• Scaled Acquisition
  
• Mobile Messaging
  
• Transactional Email/Messaging
  

This executive will be responsible for identification of the right segments to target, develop and deploy winning value propositions, drive differentiation in our experiences and capabilities, while ensuring we have a durable approach to growth.

We are looking for a passionate candidate to lead this high growth business within our Small and Mid-Sized organization: someone who is comfortable working within the business and across disciplines and teams, and able to flex between the big picture and sweating the details. We’re looking for someone who is smart, humble, curious, a great people leader and of course, completely customer-obsessed.

• 
  
• Lead across the full spectrum of inbound and outbound product marketing strategy and activities for Mailchimp
  
• Develop integrated portfolio strategy for Mailchimp, including how the e2e product plays into the broader GTM strategy
  
• Develop the segmentation and positioning strategy, and enable GTM readiness
  
• Identify and unlock new opportunities for growth: customer segments, product experiences, and business models
  
• Partner with Product on the roadmap and solution set to drive continued acquisition, engagement and monetization
  
• Partner with Acquisition and Lifecycle teams across paid, earned and owned channels, and with Sales, CS and indirect channels to deliver programs that drive growth
  
• Collaborate across Product, Engineering, Data & Analytics, Design, Brand, Partnerships, Sales and Customer Success to deliver amazing e2e customer experiences
  
• Build and lead a motivated, high-performing team of marketers, to drive excellent execution of the strategy, grow their careers, and build new capabilities for the future
  
• Serve on the US Marketing extended leadership team
  

• 
  
• Deep product marketing craft expertise: End to end experiences across development of customer and market insight, to informing actionable positioning and growth strategies
  
• Demonstrated experience leading product marketing for a leading digital marketing solution at scale or high growth SaaS business
  
• Expertise in digital marketing solutions related to marketing automation and email marketing platforms
  
• Domain expertise in SaaS, fintech, financial services preferred
  
• Demonstrated track record of driving transformation with winning outcomes
  
• Experience leading people managers (minimum 2nd line management experience)
  
• Demonstrable comfort and agility with leveraging data to create winning outcomes
  
• Proven success in partnering, influencing, and collaborating internally and externally
  
• Proven ability to hire and grow world-class marketing professionals
  

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

At Verdigris, our mission is to sustain and enrich human life through responsive energy intelligence. As AI accelerates global energy demand, we envision a future where Verdigris unlocks data center efficiency, drives carbon‑neutral electricity, and enables intelligent energy systems for humanity's benefit.

If you're excited to build the GTM system for a company at the intersection of AI infrastructure and energy intelligence, this role is for you. In your first 90–180 days, you'll establish Verdigris's canonical GTM foundation, ship AI‑native workflows that create real leverage, and partner with Product and Sales to close strategic accounts. You'll work directly with leadership in a culture that values builders, clarity, and execution.

We're looking for a Head of Marketing to build an AI‑native marketing system from scratch—one that creates clarity, builds trust, and directly generates pipeline for our sales team. This role is not about producing more content—it's about designing the system by which positioning, proof, sales enablement, and demand are created and scaled from a single source of truth.

You will build this yourself. We don't have engineering support for marketing tools. You'll prototype automations, ship workflows, and prove concepts work. If you need to write a script, train a custom GPT, or deploy to Vercel—you do it.

You are a builder and architect, not a manager of agencies. You think in systems and sources of truth. You're comfortable with Claude Code or Cursor. You've built from zero before—playbooks, tools, processes—not inherited them.

This is not a demand‑gen‑only role, not brand‑only, not a content producer role, and not a passive stakeholder position. This is a builder + architect role where you own outcomes.

Show us what you've built. Send us the Vercel link, or tell us about the custom GPT, automation, or tool you shipped.

• 
  
• Define and maintain canonical GTM texts: ICPs, personas, core narrative, value propositions, use cases, and trust/de‑risking primitives
  
• Establish governance for what is canonical vs. derived, what updates automatically vs. requires review
  
• Own positioning and messaging architecture; translate product capabilities into buyer‑centric outcomes
  
• Build and maintain case studies, proof points, ROI calculators, and a structured evidence library
  
• Generate and maintain sales decks, one‑pagers, talk tracks, and stage‑based enablement assets
  
• Design demand programs: targeted outbound/ABM, thought leadership, select campaigns
  
• Connect canonical GTM docs to downstream generation; own tooling decisions for CMS, content ops, attribution
  

• 
  
• 6–12 years in B2B marketing with strong product marketing DNA
  
• Experience in zero‑to‑one or early‑scale environments
  
• Experience with technical or infrastructure‑adjacent products
  
• Builder mentality: you've built playbooks, messaging, processes, or tools from scratch
  
• Systems thinker: you distinguish between one‑off assets, reusable templates, and canonical sources of truth
  
• Comfort with Claude Code, Cursor, or similar AI coding environments—you can prototype without engineering support
  
• You've built AI‑native marketing workflows: content pipelines, research automation, or self‑updating enablement
  
• You've personally built automations (Zapier, Make, n8n, scripts) or trained custom GPTs/Claude projects
  

• 
  
• Experience marketing to data center, cloud infrastructure, or enterprise IT buyers
  
• Background in enterprise B2B sales cycles and complex buyer journeys
  
• Experience with energy, sustainability, or building technology sectors
  
• Previous experience building canonical content systems or single‑source‑of‑truth frameworks
  

This is your chance to own marketing at a company shaping the future of AI infrastructure and energy. You'll have real ownership from day one—building the systems, workflows, and positioning that drive our go‑to‑market success.

Location: Remote-friendly | Sydney-based preferred
Team: Growth | Reporting to CEO (Co-Founder)

About Tactiq

Tactiq transforms meetings from where work gets discussed to where work gets delivered—with excellence.

Over 1 million users across tens of thousands of teams rely on Tactiq to turn meeting conversations into exceptional outcomes. We're a Series A, Sydney-based SaaS company building AI note taker for Google Meet, Zoom, MS Teams.

We're product‑led growth in its purest form: A great product that users love.

We're a small, AI‑enabled team. That means high leverage, high autonomy, and every decision compounds.

As Principal Growth Marketing Manager, you'll own all acquisition channels (paid and organic) driving efficient user acquisition while maintaining our product‑led growth motion. You'll build the marketing engine that brings quality users into the top of our funnel.

You’ll run paid campaigns, build organic growth channels, optimize conversion, and create the systems that scale acquisition without scaling costs linearly.

This isn’t about vanity metrics or brand awareness. This is about efficient, measurable acquisition that feeds our PLG engine with users who activate, engage, and convert.

• Own paid channels: Google Ads, paid social, display, retargeting, and any new performance channels
• Drive efficient CAC while scaling volume, optimize for LTV:CAC ratios
• Run disciplined experiments to improve conversion rates across the funnel

• Build and scale organic channels: SEO, content marketing, distribution
• Create distribution strategies that drive compounding, sustainable growth
• Identify and test new organic channels before competitors

• Own attribution and performance analytics, understand what actually drives efficient growth at every stage
• Design measurement frameworks that connect marketing spend to activation, retention, and revenue
• Run attribution analysis and incrementality testing to optimize channel mix and budget allocation

• Build frameworks and processes that the team can leverage
• Bridge marketing strategy with product‑led growth execution

• Have 8+ years in growth marketing, with at least 3+ years in B2B SaaS PLG companies managing significant marketing budgets
• Possess deep performance marketing expertise. You've scaled paid channels efficiently, optimized for LTV:CAC, and know how to balance growth with unit economics
• Have experience building organic growth channels (SEO, content, partnerships) that create compounding returns
• Are highly analytical: you work with data tools (SQL, Python, similar), build your own dashboards, and make decisions from data, not opinions
• Understand PLG funnels and how acquisition connects to activation, retention, and monetization
• Can use AI tools to accelerate testing, content creation, and campaign optimization
• Have the ability to navigate and execute amidst ambiguity, finding simple, elegant solutions to complex acquisition problems
• Have a track record of scaling acquisition at PLG companies while maintaining or improving efficiency metrics
• Know your growth frameworks and can apply them with disciplineThink creatively about new channels and distribution strategies before they become saturated
• Have a builder mindset: you run campaigns, analyze results, iterate fast, and own outcomes
• Stay hands‑on with emerging trends in performance marketing, AI‑powered marketing, and PLG acquisition

• You've scaled marketing at a high‑growth PLG company
• You have experience with Chrome Web Store / browser extension marketing

• Leverage: Small AI‑enabled team = 10x the impact of a traditional growth marketing role
• Ownership: You’ll own all acquisition channels end‑to‑end. No bureaucracy, no politics
• Scale: 1M+ users, pure PLG, bottom‑up motion. is PLG at its best
• Learning: Work directly with founders who obsess over data, experimentation, and exceptional execution
• Impact: Every campaign you run, every channel you build, every optimization you ship—it matters immediately
• Modern Tooling: Google Ads, Mixpanel, Intercom, Miro, Notion, Claude, and whatever else you need
• Flexibility: Remote‑friendly, autonomy‑first culture. We trust you to do your best work

• Build what is right for the customer: We move from customer feedback to customer outcomes ASAP
• Ship fast but thoughtfully: We look ahead, but deliver every day. Outcomes over activity
• Data‑driven decision making: We use rigorous analytical thinking. Data informs, intuition guides
• Autonomy allows us to do our best work: We work independently, collaborate in small teams, keep noise minimal
• Transparency, trust, empathy: We communicate clearly, share openly, and elevate each other
• Measured growth drives long‑term success: We don't grow for growth's sake. We organize ourselves to bring out the best in our people and focus on what customers need

Mythic has developed a unified hardware and software platform featuring its unique Mythic Analog Compute Engine (Mythic ACE™) to deliver revolutionary power, cost, and performance that shatters digital barriers preventing AI innovation at the edge. Mythic's unique technology makes it much easier and more affordable to deploy powerful AI solutions, from the data center to the edge device. The company has raised over USD 125M in a recent funding round and has offices in Palo Alto (CA, USA), Austin (TX, USA), and Bangalore (Karnataka, India).

Mythic is a fast-paced startup looking for individuals who enjoy broad, flexible roles. We are looking for a hands-on Principal Physical Design Engineer to serve as the technical leader of Physical Design in our India design center. This role is critical to delivering first-silicon success of advanced-node, chiplet-based AI SoCs, with a strong emphasis on analog IP integration and 3D stacking.

You will work closely with the US architecture, design, and manufacturing teams, define PD methodologies, and mentor an India-based PD team in a fast-paced startup environment.

• 
  
• Own block-to-full-chip Physical Design for both mature-node (28nm+) and advanced-node SoCs (12nm/7nm and below).
  
• Drive floorplanning, timing, power, and signoff closure.
  
• Lead integration of analog and mixed-signal IPs, ensuring noise isolation, power integrity, and robust digital-analog coexistence.
  
• Support chiplet-based and 3D designs, potentially including interposer-based integration.
  
• Collaborate closely with US-based architecture, RTL, packaging, and foundry teams.
  
• Define and enforce PD methodologies, quality bars, and tapeout readiness.
  
• Mentor senior- and mid-level PD engineers and help scale the local organization.
  

• 
  
• 15+ years of hands-on Physical Design experience on complex SoCs.
  
• Multiple successful advanced-node tape-outs (≤12nm).
  
• Strong expertise in:
  
• Floor planning, placement, CTS, routing, optimization
  
• STA (MCMM, SI, AOCV/POCV)
  
• Power integrity (IR/EM), noise, and thermal considerations
  
• Proven experience integrating analog/mixed-signal IPs in large digital designs.
  
• Working knowledge of 3D IC concepts, chiplets, interposers, and high-bandwidth die-to-die interfaces.
  
• Hands-on production experience with one or more industry-standard EDA tools, including:
  
• Cadence: Innovus, Tempus, Voltus, Quantus
  
• Synopsys: ICC2, PrimeTime, Fusion Compiler, StarRC
  
• Siemens EDA (Mentor): Calibre (DRC/LVS)
  
• Strong familiarity with foundry PDKs and sign-off flows at advanced nodes
  

• 
  
• Willing to be both strategic and hands-on as needed.
  
• Able to influence early architectural decisions with physical design insight.
  
• Strong communicator across time zones and cultures with an ability to lead and manage a high-performing team of junior to mid-level PD engineers.
  

• 
  
• Experience with AI accelerators, HPC, or memory-centric SoCs.
  
• Direct exposure to chiplet-based designs and UCIe-style interfaces.
  
• Foundry interaction experience (TSMC/Samsung/Intel).
  

At Mythic, we pride ourselves in creating a culture where all employees feel valued and appreciated for the diverse perspectives and backgrounds they bring to the team. We aim to hire smart people, give them the resources they need to do their job well, and then leave the rest up to them. We celebrate individual differences and encourage people to be comfortable bringing their authentic selves to work. At the end of the day, we are committed to building a diverse workforce where everyone belongs.

Mythic is an equal opportunity and affirmative action employer. It ensures equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, veteran status, or any other characteristic protected by law.

We look forward to reviewing your application!

Aeonsemi is a pre-IPO chip design company at the forefront of high-speed data communication for Physical AI. Backed by tier-one venture firms and in rapid revenue growth, we design customer-proven synchronous Ethernet networking and timing solutions that address the critical needs of secure data connectivity, robust timing synchronization, and efficient energy delivery — from AI edge nodes, autonomous systems to hyperscale data centers.

Analog/mixed-signal Design Engineer

Responsibilities

You will be working with a team of designers to design high performance RF/Analog/mixed-signal circuits for high-speed wireline transceiver products using advanced CMOS technologies.

· Block level architecture design

· Schematic design, simulation, behavioral modeling, validation plan

· Supervise layout engineer and hands-on layout of critical paths when needed

· Lab characterization

Qualifications

· MS or Ph.D in electrical engineering with minimum 2 years of experience

· Knowledge of analog fundamentals: biasing circuits, clock generation and/or data converters

· Proficient in Cadence design environment

· Good communication skills

Additional Helpful Qualifications

· Proficient in Python or other programming language

. Basic proficiency with signal processing

. Interest in developing full-stack skills spanning mixed-signal design, simulation and modeling, and production test flows (software/firmware debug)

We offer

· Great team work environment with excellent career growth opportunities

· Competitive salary, attractive stock option

· Competitive benefit package with health care, dental, 401k etc.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.  

Cerebras' current customers include top 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. 

Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, 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.

About the Role 

As a Full Stack Engineer focusing on Cerebras’ manufacturing test platform, you will design, build, and maintain a comprehensive test software solution for all stages of manufacturing – from individual components to complete Cerebras systems. You will collaborate cross-functionally with hardware design, engineering, operations, and data analytics teams to develop user interfaces and data processing frameworks that directly impact manufacturing efficiency, quality, and scalability. 

Responsibilities 

• Collaborate with hardware engineers and test developers to create frameworks that facilitate the development, validation, and deployment of manufacturing tests. 

• Create an intuitive, functional, and flexible user interface for executing a wide variety of manufacturing tests. 

• Create a distributed data storage framework to sync test data across multiple manufacturing facilities. 

• Collaborate with data engineers and data scientists to create interactive reports for visualizing test results. 

• Support cross-functional initiatives across manufacturing, operations, and reliability teams to improve manufacturing efficiency, quality, and scalability throughout the entire product lifecycle. 

Skills and Qualifications 

Required 

• Bachelor’s degree in computer science, computer engineering, or related field. 

• 3+ years of professional experience in full-stack software development. 

• Strong proficiency in at least one advanced programming language (e.g. Python, C++). 

• Experience with SQL databases (e.g. PostgreSQL, MySQL) and/or NoSQL databases (e.g. MongoDB, Redis). 

• Experience with front-end technologies and frameworks (e.g. HTML, JavaScript). 

Preferred 

• Experience with hardware manufacturing and/or related disciplines such as manufacturing test automation, manufacturing software, or manufacturing quality control. 

• Experience with application development in Windows and/or Linux. 

• Experience with cloud platforms (e.g. AWS, GCP). 

• Experience with data engineering, data analytics, and/or business intelligence. 

• Experience with UI/UX. 

• Experience with networking and cybersecurity. 

The base salary range for this position is $175,000 to $220,000 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:

1. Build a breakthrough AI platform beyond the constraints of the GPU.
2. Publish and open source their cutting-edge AI research.
3. Work on one of the fastest AI supercomputers in the world.
4. Enjoy job stability with startup vitality.
5. Our simple, non-corporate work culture that respects individual beliefs.

Read our blog: Five Reasons to Join Cerebras in 2026.

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.

80Twenty is a boutique sales recruitment agency that connects high-growth companies with exceptional candidates

Our client, a profitable, venture-backed Series D SaaS company operating at the intersection of HR Tech and developer tooling is seeking a Strategic AE to join the team. The platform is used by millions of developers globally and trusted by 20% of the Fortune 500, helping large organizations hire and upskill technical talent based on real skills rather than pedigree. The company is known for a high-performance culture that prioritizes speed without sacrificing quality, and the Strategic Accounts team is tenured, stable, and consistently successful at the enterprise level. This is a net-new, enterprise sales role built for sellers who want true ownership, complex deals, and long-term impact.

What you’ll do

• Own net-new enterprise acquisition across North American organizations with 10,000+ employees
• Build pipeline through targeted outbound efforts and strategic prospecting
• Partner closely with Growth to identify and generate demand within strategic accounts
• Lead complex sales cycles involving stakeholders across Talent Acquisition, Engineering, HR, L&D, and technical leadership
• Close high-value enterprise deals and drive meaningful revenue growth
• Act as the voice of the customer, sharing insights to influence product direction
• Collaborate cross-functionally with Sales, Marketing, Product, and Customer Success
• Maintain accurate forecasting and pipeline visibility with a focus on execution and deal progression

What will set you up for success

• You enjoy building pipeline, chasing complex deals, and closing new logos
• You thrive in fast-moving, ambiguous environments and create structure where needed
• You take full ownership of outcomes and operate with a strong bias for action
• You can clearly articulate technical value to diverse, senior stakeholders
• You’re deeply customer-focused and motivated to solve real hiring and workforce challenges

What you’ll bring

• 5–10 years of B2B sales experience, ideally in SaaS, HR Tech, EdTech, or enterprise software
• A strong track record of hunting and closing net-new enterprise business
• Experience selling into or alongside TA, HR, L&D, and technical teams
• Proven ability to navigate long, multi-stakeholder sales cycles
• Strong negotiation, communication, and deal execution skills
• Experience working with Fortune 500 or similarly complex organizations preferred

Compensation

• OTE: $200,000–$250,000 (base + incentive, based on quota attainment)
• Equity and benefits offered in addition to cash compensation

We are hiring Full-Stack Enterprise AEs who can own the entire revenue cycle — from prospecting to closing and expansion.

This is not a traditional “wait for SDR handoff” role.

You will operate as a self-sufficient seller empowered with:

• FlashRev list-building
• AI SuperAgent
• Parallel Dialer
• AI Meeting Agent
• Automated workflows

Your Mission:

Land and expand 6–7 figure deals with U.S. and global enterprise customers.

You will sell FlashLabs’ AI GTM automation to:

• Fintechs (payments, wallets, neobanks)
• Insurtech
• Lending & BNPL platforms
• Brokerages & wealth tech
• Exchanges
• Compliance-driven fintech teams

Key Responsibilities

• Own the full sales cycle: from ICP targeting → outbound → qualification → demo → proposal → close → expansion.
• Conduct high-impact discovery with VPs, C-suite, and transformation teams.
• Deliver tailored demos of FlashLabs SuperAgent, FlashAI Voice, FlashRev, and AIFlow.
• Use our AI outbound engine + self-sourced pipeline to drive meetings.
• Conduct intelligent prospecting (email, LinkedIn, phone, AI agents).
• Build and maintain a strong top-of-funnel independently.
• Lead multi-threaded enterprise sales cycles (6–12 weeks).
• Handle InfoSec, legal, procurement, and compliance reviews.
• Build ROI, business cases, and transformation proposals.
• Drive land-and-expand motions across teams, departments, and regions.
• Partner with CS to ensure adoption and value realization.
• Grow accounts into multi-year, high-ACV partnerships.
• Become a domain expert in AI GTM automation.
• Relay product feedback to engineering to guide the roadmap.
• Represent FlashLabs at industry events, webinars, and executive briefings.

Enterprise Account Executive

Role Overview:

As an Account Executive (AE), you will own the full sales cycle—from outbound prospecting and discovery through close. You will partner closely with leadership, product, and engineering teams to shape go-to-market strategies, scale our sales motions, and influence the product roadmap with customer feedback.

Key Responsibilities:

• Drive net new revenue by owning and executing full sales cycles for enterprise and mid-market prospects.
• Deliver tailored product demos, adapting to technical and non-technical audiences, and show the value of our AI capabilities.
• Lead discovery conversations to understand business objectives, technical architectures, integration challenges, and KPIs.
• Develop persuasive business cases, ROI models, and proposals that marry technical feasibility with business value.
• Negotiate pricing and contract terms, navigate procurement and legal review processes.
• Maintain a healthy pipeline, forecast revenue, and consistently hit quota.
• Serve as the voice of the customer internally, collecting feedback, use cases, and objection signals to inform product and marketing teams.
• Partner with marketing, customer success, and post-sales teams to ensure smooth onboarding, adoption, and expansion.

Qualifications:

• 5+ years in a quota-carrying Account Executive or enterprise sales role; preferably in AI, data, or B2B software.
• Demonstrated success closing complex, multi-stakeholder deals (ideally involving technical buyers).
• Strong technical fluency, with the ability to understand and discuss integrations, APIs, architecture, and AI/ML tradeoffs.
• Experience leading demos and presentations with both technical and non-technical stakeholders
• Excellent communication, negotiation, and storytelling skills.
• Self-starter mindset—able to work in ambiguity, build processes, and iterate as we scale.
• Experience in an early-stage or high-growth environment is a plus.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.  

Cerebras' current customers include top 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. 

Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, 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.

We are seeking an experienced Manufacturing Test Engineering Lead to lead our team of manufacturing test and test automation engineers. The successful candidate will be responsible for overseeing the development, implementation, and maintenance of test strategies, processes, and systems to ensure the quality and reliability of our products. This is a key leadership role that requires strong technical expertise, excellent communication skills, and the ability to motivate and manage a team of engineers. 

Key Responsibilities: 

• Lead and manage a team of manufacturing test and test automation engineers, providing guidance, coaching, and development opportunities to ensure their growth and success. 
• Develop and implement comprehensive test strategies and plans to ensure product quality and reliability. 
• Collaborate with cross-functional teams, including design engineering, manufacturing, and quality assurance, to ensure test requirements are met. 
• Lead the team to develop and implement test systems and processes for efficiency, reduce costs, and enhance product quality improvements. 
• Collaborate with test automation and diagnostics team to design, develop, and deploy automated test solutions. 
• Identify areas for process improvement and implement changes to optimize test efficiency, reduce cycle time, and improve product quality. 
• Develop and track key performance indicators (KPIs) to measure test process effectiveness and efficiency. 
• Provide technical guidance and expertise to the test engineering team, including troubleshooting and resolving complex test-related issues. 
• Develop and manage budgets for test engineering activities, including capital expenditures and operating expenses. 
• Ensure effective utilization of resources, including personnel, equipment, and facilities. 
• Communicate test plans, results, and issues to stakeholders, including management, design engineering, manufacturing, and quality assurance. 
• Collaborate with other departments to ensure alignment and effective implementation of test strategies and processes.  

Requirements: 

• Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field. 
• 8+ years of experience in manufacturing test engineering 
• Proven track record of developing and implementing effective test strategies and processes for a manufacturing environment. 
• Strong knowledge of test engineering principles, including test development, test automation, and test process improvement. 
• Familiarity with industry-standard test equipment and software, such as National Instruments, Agilent, or LabVIEW. 
• Experience with automated test frameworks and programming languages, such as Python, C++, or Java. 
• Excellent communication, leadership, and interpersonal skills. 
• Ability to motivate and manage a team of engineers, providing guidance, coaching, and development opportunities. 
• Strong problem-solving and analytical skills, with the ability to troubleshoot complex test-related issues. 

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:

1. Build a breakthrough AI platform beyond the constraints of the GPU.
2. Publish and open source their cutting-edge AI research.
3. Work on one of the fastest AI supercomputers in the world.
4. Enjoy job stability with startup vitality.
5. Our simple, non-corporate work culture that respects individual beliefs.

Read our blog: Five Reasons to Join Cerebras in 2026.

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.