3,162 Results for

Member Of Technical Staff Jobs in Sunnyvale, CA

Jobs

Mountain View, CA

$119,800–$234,700 / year

Masters Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR Bachelors Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. You’ll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations, developing AI based insights on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization.

30+ days ago

Mountain View, CA

$139,900–$274,800 / year

Bachelors Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering workOR Masters Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

30+ days ago

Foster City, CA

$146,200–$233,700 / year

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base.

3 days ago

Foster City, CA

$146,200–$233,700 / year

Masters, MBA, JD, MD) or 0 years of work experience with a PhD Preferred Qualifications • Experience with AI frameworks, LLMs, or generative AI (Claude, GPT, LangChain, etc.) • Knowledge of AI-powered development tools or building AI-enabled applications • Experience applying AI to engineering challenges or customer-facing features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms, microservices, and containerization (Docker, Kubernetes) • Knowledge of API design, integration patterns, and distributed systems • Familiarity with observability, monitoring, or DevOps practices. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base.

Today

Foster City, CA

$169,100–$270,800 / year

You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

9 days ago

San Francisco, California

Build AI-Driven, User-Focused Features – While setting up core frontend infrastructure, design and deliver high-impact features that seamlessly integrate AI-powered capabilities, ensuring clarity, usability, and reliability for complex security workflows. Alongside our core product work, Cogent Research serves as our applied AI lab, providing the research horsepower needed to make truly agentic security workflows a reality.

30+ days ago

San Francisco, California

This high‑impact group builds and maintains critical infrastructure, including backend systems for authentication, authorization, real-time data flows, service orchestration, and sandboxing, to ensure fast, reliable, and secure user experiences. Own key backend services involved in authentication and encryption flows (including BYOK‑related pieces), partnering with Security and Infra on defense‑in‑depth.

30 days ago

San Francisco, CA

In the afternoon, you could be conducting risk assessments on supply chain constraints that impact our development roadmap, updating program dashboards to provide leadership visibility, or working with partner teams to align on deployment strategies. You might start your morning facilitating tradeoff decisions between AI researchers and software engineers on a critical prototype milestone, then transition to managing dependencies across hardware and operations teams to keep timelines on track.

30+ days ago

San Francisco, California

Build the connector onboarding path (schemas, fixtures, and evaluation suites) so new connectors ship with measurable quality rather than hope, and drive the eval metrics that tell us a connector actually works inside agent loops. Own the design and implementation of the connector runtime, the system that registers, hosts, and executes built-in connectors, hosted MCP servers, and CLI-backed tools behind a single agent-facing interface.

18 days ago

San Francisco, California

Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt for developers and agents alike. From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry.

22 days ago

San Francisco, California

The team defines the architecture for batch and streaming systems, the orchestration and observability stack, and a self-serve data platform, while thoughtfully combining platforms such as Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse. Set and enforce guarantees for data correctness, freshness, lineage, and recoverability, designing systems that handle rapid scale growth, partial failures, and evolving schemas without disrupting AI workloads or product experiences.

30 days ago

San Francisco, California

The ideal candidate will possess sound technical judgment forged in the trenches of internet-scale companies, paired with voracious use of today’s most advanced AI tools/models and a capacious imagination to rethink how work gets done in the leading companies of tomorrow. 5 to 15+ years of industry experience, ideally with a substantial portion focused on infrastructure/platform engineering or developer acceleration in environments featuring significant technical complexity.

25 days ago

San Francisco, California

Collaborate closely with PM, Design, Data Science, Sales, Research, to identify high-impact opportunities in both consumer and enterprise customer experiences, validate emerging capabilities, and translate complex agent behaviors into simple, reliable product experiences. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for complex real-world tasks.

20 days ago

San Francisco, California

Lead features end-to-end, from problem definition through technical design, implementation, and launch, including the billing API abstractions that let product teams ship new SKUs, pricing models, and monetization experiments with minimal friction. As a monetization engineer at Perplexity, you'll own the abstractions that let product teams ship new SKUs, run pricing experiments, and convert users into paying customers, without needing to understand billing internals.

30+ days ago

San Francisco, California

We are hiring builders to join our highly leveraged engineering team for creating new products that innovate and accelerate human productivity. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.

30+ days ago

San Francisco, California

Design and operate Perplexity’s cloud networking fabric, including VPC architectures, private connectivity, and peering with hyperscalers and neocloud providers to support low-latency, high-throughput AI workloads. Architect and scale compute platforms (Kubernetes/EKS, autoscaling groups, and mixed CPU/GPU fleets) to efficiently serve online request traffic and background workloads across regions.

30 days ago

San Francisco, California

Engineers are responsible for end-to-end projects from training and productionizing classifiers to identify high-intent users, personalizing value discovery, shipping contextual onboarding experiments, or wiring new AI capabilities into measurable adoption and revenue outcomes. As a growth engineer at Perplexity, you'll work across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — while also building the applied AI systems that make those experiences smarter.

29 days ago

San Francisco, California

You will work across simulation platforms, robotics systems, digital twins, and environment generation pipelines to ensure our virtual environments are useful for training, evaluating, and deploying intelligent systems. Moonlake is building the frontier of interactive world models: systems that generate, simulate, and reason over 3D environments for robotics, embodied AI, and interactive applications.

30+ days ago

San Francisco, California

Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement and build autonomous harness for agent squad to explore different problem spaces. Strong software engineering skills (Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large scale parallel developments.

30+ days ago

San Francisco, California

4+ years of experience as a software engineer with significant time spent building security-related tools, platforms, or automations, or in a security engineering role with strong software development responsibilities. This role focuses on engineering security tools and internal AI-driven agents that improve detection and response, vulnerability management, and the overall security posture of our products and infrastructure.

30+ days ago

San Francisco, California

We have found that our strongest engineers are capable of working across multiple codebases and ramping up quickly, and we expect the same high bar for candidates. The ideal candidate should have strong programming skills and multiple years of experience shipping high-quality, production software.

18 days ago

San Francisco, CA

Full-Time Employees at Cohere enjoy these Perks: An open and inclusive culture and work environment Work closely with a team on the cutting edge of AI research Weekly lunch stipend, in-office lunches & snacks Full health and dental benefits, including a separate budget to take care of your mental health 100% Parental Leave top-up for up to 6 months Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend 6 weeks of vacation (30 working days). We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents.

30+ days ago

San Francisco, California

The Storage Platform team owns the infrastructure that powers how Perplexity persists, retrieves, and manages data across all systems, ensuring high availability, performance, and cost-efficiency for every product and AI workload. By building robust abstractions and operational excellence around storage, the team enables engineers across Perplexity to focus on product innovation while trusting that data is fast, reliable, and always accessible.

30 days ago

Mountain View, CA

$119,800–$234,700 / year

Additional or preferred qualificationsMaster's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Implement end-to-end observability and operations through metrics, tracing, logging, dashboard development, monitoring, and automated alerts for model training and platform health (using Prometheus, Grafana, OpenTelemetry).Architect and operate services on Azure cloud platforms, managing infrastructure-as-code (Terraform/Helm), secrets, networking, and storage.

30+ days ago

San Francisco, California

You’ll build user-facing products that help organizations adopt products like Computer in practical, everyday tasks, and also guide organization admins to onboard and enable their teams to use Perplexity products effectively. Build systems that help organizations manage Perplexity at scale, from first setup through expansion, making it easier for admins to onboard teams, configure features, manage usage, and understand spend.

30 days ago

Palo Alto, California

Specific tasks include: Develop key features to improve our product including: making it more scalable, developing improving APIs to enable more complex engineering workflows. Proficiency in using cloud compute be it for data generation, scraping, and enabling data science teams to train models with MLOps is a plus.

30+ days ago

San Francisco, California

You will work closely with researchers and engineers developing next-generation simulation environments and AI systems, while ensuring those capabilities transfer successfully into real-world robotic platforms. You will help evaluate robotic intelligence in simulation, train the models that power robotic understanding, and deploy those systems onto real robots operating in the physical world.

30+ days ago

San Francisco, California

Here are some examples of people who might thrive here: Exceptionally talented early-career engineers (new grads welcome) who are (1) well-read in law, tech policy, or economics, and (2) wish to grow in both technical and non-technical disciplines. We welcome candidates who plan to attend law school or PhD programs in the future; we ask for a minimum 2-year commitment (i.e., you would apply for the entering class of 2028 or later).

8 days ago

San Francisco, CA

Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. Drive the end-to-end technical deployment of Latent Labs models into customer environments, designing production-grade API integrations and model-serving infrastructure.

30+ days ago

San Francisco, California

Before building Latent Labs, our team co-developed DeepMind’s Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. Drive the end-to-end technical deployment of Latent Labs models into customer environments, designing production-grade API integrations and model-serving infrastructure.

30+ days ago

San Francisco, California

You will design our technical approach to teaching agents how to understand and handle complex genomic data, mapping out end-to-end data analysis workflows and working from instrument outputs to real scientific decisions. Latch is building intelligent, high performance agents for biological data analysis, empowering over 5,000 scientists across 150+ R&D labs to handle data from instrument-to-insights.

30+ days ago

Palo Alto, California

Our goal is to co-design custom ASICs alongside evolving ML workloads, and enable a new era of domain-specific chips that unlock capabilities impossible with current hardware paradigms. You’ll own the full stack, developing intuitive, high-performance systems using TypeScript, Python, and modern frameworks, while integrating cutting-edge AI features and models in collaboration with our ML team.

30+ days ago

San Francisco, California

You will design our technical approach to teaching agents how to understand and handle complex epigenomics data, mapping out end-to-end data analysis workflows and working from instrument outputs to real scientific decisions. Latch is building intelligent, high performance agents for biological data analysis, empowering over 5,000 scientists across 150+ R&D labs to handle data from instrument-to-insights.

30+ days ago

San Francisco, California

You will design our technical approach to teaching agents how to understand and handle complex therapeutics datasets, mapping out end-to-end data analysis workflows and working from practical therapeutics data to real scientific decisions. Latch is building intelligent, high performance agents for biological data analysis, empowering over 5,000 scientists across 150+ R&D labs to handle data from instrument-to-insights.

30+ days ago

Palo Alto, CA

$90,000–$130,000 / year

Some exposure to program analysis or static analysis (e.g., call graphs, data-flow or taint analysis, abstract interpretation, symbolic execution) or to ML for code (e.g., vulnerability detection, code representation learning, program repair, code embeddings, reachability prediction, LLM-based code understanding). As an MTS, you will contribute to our existing suite of static analysis tools, help evolve our SCA (Software Composition Analysis) and SAST (Static Application Security Testing) platforms, and help shape machine-learning experiments that power the next generation of our detection and prioritization capabilities.

30+ days ago

Mountain View, CA

$119,800–$234,700 / year

OR Masters Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years of business analytics, data science, software development, data modeling or data engineering work experience. Bachelors Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work.

30+ days ago

Palo Alto, California

One day you may be helping a customer bring up a new model on a GPU cluster; another day you may be debugging P99 latency, GPU utilization, autoscaling, networking behavior, deployment failures, or reliability regressions. Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure used by leading AI companies and research labs.

22 days ago

San Francisco, CA

28 days ago

San Francisco, CA

About Liquid AISpun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. Bridges ML and systems: You understand how neural networks work mathematically (matrix operations, attention mechanisms, quantization effects) and can translate that understanding into optimized implementations.

30+ days ago

San Francisco, California

We’ll work with you to match your strengths and interests to the areas where you can drive the most impact, while collaborating as a team to turn ambiguous, bleeding-edge problems into reliable experiences for users. Experience with audio stack technologies including audio processing modules (APMs), echo cancellation, noise reduction/cancellation, automatic-gain control (AGC), etc.

27 days ago

San Francisco, CA

From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexitys applications are some of the most battle-tested AI systems in the industry. Youll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.).

21 days ago

Palo Alto, California

Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure that powers leading AI companies and research labs. RadixArk is an infrastructure-first company built by engineers who've shipped production AI systems, created SGLang (20K+ GitHub stars, the fastest open LLM serving engine), and developed Miles (our large-scale RL framework).

22 days ago

Palo Alto, CA

16 days ago

San Francisco, California

This company is at the forefront of software development and AI, focused on building innovative solutions that empower users and drive meaningful impact in the tech landscape. Design, develop, and ship high-quality software features using React, TypeScript, and Python, contributing to both frontend and backend systems.

30+ days ago

Palo Alto, California

We’re a small team building infrastructure that connects AI models, large-scale simulation data, and production software used directly by engineers. We value engineers who are comfortable moving between infrastructure, data systems, and product code, and who enjoy building pragmatic systems that ship.

30+ days ago

Sunnyvale, CA

$230,000–$250,000 / year

The required experience must include 18 months of experience with the following: Infrastructure-as-Code and deployment automation:Terraform, AWS CloudFormation, AWS CDK, and Ansible; Containerization and orchestration:Docker, Kubernetes, AWS EKS, AWS Elastic Container Service (ECS), AWS Fargate, and Helm; Compute and serverless services: AWS EC2, AWS Lambda functions, and Auto Scaling Groups; Monitoring, logging, and distributed tracing: AWS CloudWatch, AWS X-Ray, ELK (Elasticsearch, Logstash, Kibana), Prometheus, and Grafana; Programming languages and frameworks: Python, Node.js, JavaScript, and Flask; Data storage and caching: PostgreSQL, Redis, and NFS; and. 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.

30+ days ago

San Francisco, CA

28 days ago

Palo Alto, California

As a Founding Member of the Technical Staff (Applied AI) at Architect, you'll sit at the intersection of chip design and frontier AI — translating deep hardware engineering expertise into agentic systems that can reason about, generate, and verify real silicon. Our goal is to co-design custom ASICs alongside evolving ML workloads, and enable a new era of domain-specific chips that unlock capabilities impossible with current hardware paradigms.

30+ days ago

Palo Alto, California

22 days ago

$188,000–$304,200 / year

There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

30+ days ago

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Member Of Technical Staff Jobs in Sunnyvale, CA

Member of Technical Staff - Software Engineer & Machine Learning Microsoft

Member of Technical Staff - Data Engineer Microsoft

Staff Software Engineer, Crypto Program Visa Technology and Operations LLC

Staff Software Engineer Visa Technology and Operations LLC

Software Engineer - Sr Consultant level Visa Technology and Operations LLC

Staff Frontend Engineer (Member of Technical Staff) Cogent Security

Member of Technical Staff (Software Engineer, Backend Platform) Perplexity

Member of Technical Staff - Technical Program Manager, Frontier AI & Robotics Amazon.com Inc

Member of Technical Staff (Software Engineer, Connector Platform) Perplexity

Member of Technical Staff (Software Engineer, API Platform) Perplexity

Member of Technical Staff (Software Engineer, Data Platform) Perplexity

Member of Technical Staff (Software Engineer, Acceleration) Perplexity

Member of Technical Staff (Software Engineer, Agent Capabilities) Perplexity

Member of Technical Staff (Software Engineer, Monetization) Perplexity

Member of Technical Staff (Software Engineer, Computer) Perplexity

Member of Technical Staff (Software Engineer, Cloud Infrastructure) Perplexity

Member of Technical Staff (Software Engineer, Computer Growth) Perplexity

Member of Technical Staff - Simulation Engineer Moonlake

Member of Technical Staff (Software Engineer, Applied AI) Perplexity

Member of Technical Staff (Software Engineer, Security) Perplexity

Member of Technical Staff (Software Engineer, Comet and Native Apps) Perplexity

Member of Technical Staff, Senior/Staff MLE Cohere

Member of Technical Staff (Software Engineer, Storage Platform) Perplexity

Member of Technical Staff - Software Engineer(SuperIntelligence team) Microsoft Corp

Member of Technical Staff (Software Engineer, Enterprise Experience) Perplexity

Member of Technical Staff - Software Engineer Vinci4d

Member of Technical Staff - Robotics & Simulation Moonlake

Member of Technical Staff (AI Policy and Strategic Initiatives) Perplexity

Member of Technical Staff, Applied AI Latent Labs Ltd

Member of Technical Staff, Applied AI Latent Labs

Member of Technical Staff, Variant LatchBio

Member of Technical Staff - Software Architect Labs

Member of Technical Staff, Epigenetics LatchBio

Member of Technical Staff, Therapeutics LatchBio

Member of Technical Staff - Program Analysis Endor Labs Inc

Member of Technical Staff - Full Stack Engineer, ML Efficiency & Observability Microsoft Corp

Member of Technical Staff — Supercomputing RadixArk

Member of Technical Staff (Software Engineer, Backend Platform) Perplexity AI Inc

Member of Technical Staff - Edge Inference Engineer Liquid AI Inc

Member of Technical Staff (AI Software Engineer, Multimodal) Perplexity

Member of Technical Staff (Software Engineer, API Platform) Perplexity AI Inc

Member of Technical Staff — Kernel / Compiler / Communication RadixArk

Member of Technical Staff (Software Engineer, Connector Platform) Perplexity AI Inc

Member of Technical Staff - Product Engineer Recruiting From Scratch

Member of Technical Staff - Backend Engineer - Data Systems and APIs Vinci4d

Sr. Member of Technical Staff Cerebras Systems

Member of Technical Staff (Software Engineer, Data Platform) Perplexity AI Inc

Member of Technical Staff - Applied AI Architect Labs

Member of Technical Staff — Inference RadixArk

Member of Technical Staff, Multimodal Infrastructure - MAI Superintelligence Team Microsoft Corp

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