Menlo Ventures

About the Company

Menlo Ventures is a venture capital firm that strives to have a positive impact on everything we do. That's why we support businesses--including Abnormal Security, Benchling, Carta, Chime, Harness, Pinecone, Roku, Rover, Siri, and Uber--that are reimagining life and work for the better. Over 47 years, we've grown a portfolio that includes more than 80 public companies, over 165 mergers and acquisitions, and $5.8 billion under management. We invest at every stage and in every sector, with expertise in consumer, enterprise, and healthcare. From developing market strategies to creating communities, we provide real impact where entrepreneurs need it most. When we're in, we're ALL IN.

Listed Jobs

Company Name

Menlo Ventures

Job Title

Software Engineer - GenAI inference

Job Description

Job title: Software Engineer – GenAI Inference Role Summary: Design, develop, and optimize the inference engine for large‑scale language models, ensuring low latency, high throughput, and efficient GPU/hardware utilization across distributed systems. Expactations: Deliver production‑ready inference solutions, collaborate with research teams to integrate novel model features, and maintain reliability, reproducibility, and fault tolerance in model serving pipelines. Key Responsibilities: - Architect and implement inference engine components (kernels, runtimes, orchestration). - Integrate new model architectures/features (sparsity, activation compression, MoE) into the serving stack. - Optimize latency, throughput, memory efficiency, and GPU/accelerator utilization. - Develop instrumentation, profiling, and tracing tools to identify and eliminate performance bottlenecks. - Build scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms. - Support reliability and fault tolerance: A/B testing, rollback, model versioning. - Orchestrate federated, distributed inference across nodes, balancing load and managing communication overhead. - Collaborate with platform, cloud infrastructure, and security/compliance teams. - Document solutions and contribute to internal best practices and open‑source initiatives. Required Skills: - 3+ years of software engineering in performance‑critical systems. - Deep understanding of ML inference internals (attention, MLPs, recurrent modules, quantization, sparsity). - Proficiency with CUDA and GPU programming; experience with cuBLAS, cuDNN, NCCL, and related libraries. - Experience designing and operating distributed systems, including RPC, sharding, memory partitioning. - Demonstrated ability to diagnose and resolve performance bottlenecks across kernel, memory, networking, and scheduling layers. - Experience building instrumentation, tracing, and profiling tools for ML models. - Strong communication skills to work closely with ML researchers and translate new ideas into production systems. - Ownership mindset and willingness to tackle complex, deep system challenges. Required Education & Certifications: - BS, MS, or PhD in Computer Science or related field. - Valid certifications in relevant technologies preferred (e.g., NVIDIA CUDA Developer, distributed systems certificates).

San francisco, United states

On site

Junior

12-01-2026

Company Name

Menlo Ventures

Job Title

Full Stack, Enterprise Platform (High Seniority)

Job Description

Job title: Full Stack Enterprise Platform Engineer (Senior) Role Summary: Senior full‑stack engineer on the Application Platform team, responsible for designing, building, and operating foundation services that enable secure, compliant, and scalable applications for enterprise clients. Expectations: • Deliver end‑to‑end platform projects from concept to production. • Architect robust back‑end APIs and admin interfaces with enterprise‑grade performance. • Drive engineering best practices, code quality, and continuous improvement. • Mentor teammates and influence tooling and processes. Key Responsibilities: • Partner with product, design, and customer success to define requirements and ship large‑scale platform solutions. • Design and implement scalable, reliable back‑end services and public APIs. • Build intuitive admin UIs that grow with enterprise customer needs. • Integrate AI‑driven features where they add value. • Ensure system reliability through testing, monitoring, and performance tuning. • Lead technical reviews, code quality standards, and version‑control workflows. • Advocate for architectural decisions that enhance maintainability and scalability. • Mentor junior engineers and contribute to team growth and process improvement. Required Skills: • 8+ years in professional software engineering. • Strong coding proficiency (Go, Java, Node.js, or similar) and deep knowledge of software‑engineering fundamentals. • Proven experience designing scalable, high‑performance API‑driven services. • Front‑end and admin UI development expertise. • Expertise in testing, CI/CD, code reviews, and version‑control. • Strategic problem‑solving ability and comfortable with cross‑functional collaboration. • Excellent written and verbal communication. • Experience mentoring and leading high‑quality engineering teams. Required Education & Certifications: • Bachelor’s degree (or higher) in Computer Science, Software Engineering, or related field. • No specific certifications required; relevant technical credentials (e.g., AWS Certified Developer, Google Cloud Professional Cloud Developer) considered a plus.

San francisco, United states

On site

Senior

16-01-2026

Company Name

Menlo Ventures

Job Title

Software Engineer IV

Job Description

**Job Title:** Software Engineer IV **Role Summary:** Design, develop, and maintain cloud‑hosted SaaS platform components using large‑scale distributed system principles. Lead architecture decisions, ensuring reliability, scalability, performance, and security. Collaborate with product managers, cross‑functional stakeholders, and peers to translate requirements into robust production‑grade solutions. Participate throughout the full SDLC, from design to monitoring and support, driving continuous improvement in an Agile environment. **Expectations:** - 2+ years of professional software engineering experience. - Minimum 1 year of proven work with an object‑oriented language (Java, Scala, JavaScript, C++, or Python). - At least 1 year of experience in each of the following areas (minimum 6 required): • Multithreading & asynchronous programming • Agile/Scrum methodologies • Open‑source & third‑party APIs • Microservices architectures • Unit & integration testing • Production service reliability, security, and scalability • Version control (Git, XCode, Visual Studio, IntelliJ) • Cloud platforms (AWS, Azure, or GCP) • Containerization (Docker, Kubernetes, or similar) • Databases (SQL, PostgreSQL, MongoDB, Cassandra) • Distributed & big‑data systems (Apache Spark, Hive, Hadoop) **Key Responsibilities:** - Architect and implement highly‑available, scalable, and secure services in a cloud environment. - Develop production‑grade code in Scala, Python, and/or JavaScript, integrating with cloud, open‑source, third‑party, and internal APIs. - Own end‑to‑end lifecycle: design, coding, testing, deployment, monitoring, and production support. - Design system interfaces and data flows that meet user experience and performance goals. - Participate in sprint planning, code reviews, and Agile ceremonies to drive product delivery. - Mentor junior engineers and contribute to engineering best practices and documentation. **Required Skills:** - Object‑oriented programming (Java, Scala, JavaScript, Python, or C++). - Distributed systems architecture (microservices, event‑driven design). - Cloud platform proficiency (AWS, Azure, or GCP). - Container orchestration (Docker, Kubernetes). - Database design and querying (SQL, NoSQL). - Big‑data processing (Apache Spark, Hive, Hadoop). - Continuous integration/continuous deployment (CI/CD). - Unit, integration, and performance testing. - Git‑based version control. - Agile/Scrum development experience. **Required Education & Certifications:** - Bachelor’s degree (or foreign equivalent) in Computer Science, Engineering, Information Technology, or related field. - No mandatory certifications; relevant technical certifications (e.g., AWS Certified Solutions Architect, Kubernetes Administrator) considered a plus.

San francisco, United states

On site

Fresher

21-01-2026

Company Name

Menlo Ventures

Job Title

Software Engineer, Full Stack (Document Canvas)

Job Description

**Job Title** Software Engineer, Full Stack (Document Canvas) **Role Summary** Design, develop, and maintain a modern digital lab notebook that enables scientists to plan, document, and share research. Lead both front‑end and back‑end components, provide end‑to‑end ownership of large‑scale features, and collaborate closely with product, design, and engineering peers. Mentor junior engineers and drive architectural discussions. **Expectations** - 5 + years of full‑time software development experience. - Product‑first mindset: deliver code quickly with measurable impact. - Strong ownership of key product areas and independent decision‑making. - Proven ability to lead multi‑year initiatives and break them into iterative, shippable increments. - Eagerness to learn life‑science domain knowledge. - Hybrid work model with onsite collaboration days. **Key Responsibilities** - Own large‑scale projects from ideation to release, ensuring feature completeness. - Engineer across the stack: back‑end data models, APIs, and front‑end components using React or comparable frameworks. - Collaborate with product managers and designers to build user‑centric solutions. - Mentor engineers, guide technical and architectural decisions, and lead cross‑team discussions. - Engage with mature codebase, shape technical roadmap, and drive incremental improvements. **Required Skills** - Proficiency in back‑end development (API design, data modeling, database interactions). - Front‑end expertise with React or similar JavaScript frameworks. - Experience with full‑stack application architecture and scalability. - Strong problem‑solving and debugging skills. - Excellent communication and mentorship ability. - Familiarity with Agile development practices and continuous delivery. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent professional experience).

San francisco, United states

On site

Mid level

26-01-2026