Member of Technical Staff Job at Interaction (San Francisco Bay Area, California)

Member of Technical Staff - Backend Engineer

This role is based out of Palo Alto California - Hybrid. If you are interested i...

Location

United States , Palo Alto

Salary:

160000.00 - 240000.00 USD / Year

Endor Labs

Expiration Date

Until further notice

Requirements

Bachelor’s degree in engineering
Over ~7 years of hands-on experience building scalable backends for product and SaaS companies
~4 years of experience in Golang programming, with a deep focus on microservices and distributed architecture
Practical experience in designing robust APIs using frameworks like gRPC (preferred), ReST, GraphQL, or Thrift
Ability to architect and build technical solutions from the ground up
Experience with scalable distributed systems, including microservices, domain-driven design, load balancing, and scaling strategies (both horizontal and vertical)
Knowledge of data structures and architectural design
Ability to discuss architectural trade-offs and guide teams
Experience in troubleshooting distributed systems

Job Responsibility

Dive into the heart of innovation by working on a state-of-the-art distributed system with a sophisticated monorepo architecture
Take charge of enhancing and maintaining Endor's crucial GoLang libraries, including gRPC/protobuf, OpenAPI, AuthN/AuthZ, Observability, and MongoDB
Drive the development and optimization of vital core services like our API Gateway and API servers
Embrace the freedom to design and build top-tier tools that will be leveraged across all teams at Endor
Contribute to the evolution of Endor's polyglot monorepo using Bazel
Enhance and optimize our continuous integration (CI) pipeline
Apply best practices in observability

What we offer

Competitive salary and comprehensive benefits package including Health, Dental, Vision and Mental Health plans
401(k) plan
Flexible PTO
Opportunities for co-working and team meetups
A dog-friendly office environment

Fulltime

Member of Technical Staff - Frontend Engineer

This role is based out of Palo Alto California - Hybrid. If you are interested i...

Location

United States , Palo Alto

Salary:

170000.00 - 240000.00 USD / Year

Endor Labs

Expiration Date

Until further notice

Requirements

Bachelor's degree in engineering with at least 5 years of experience in building user experiences for product/SaaS companies
4+ years of professional experience with modern JavaScript frameworks (e.g. React, Next.js)
Strong programming expertise in TypeScript (3+ years) and JavaScript (5+ years)
Demonstrated experience with complex data transformations and associative APIs (e.g. GraphQL)
Experience with front end test-driven development (React Testing Library, Jest, Cypress, etc)
Deep knowledge of HTML and CSS fundamentals and best practices
Empathetic and committed to user-first thinking. Awareness of common UX topics and concerns
Understanding of responsive design and device-agnostic development
Excellent teamwork and collaboration skills, with a drive to create clarity from ambiguity
Comfortable working in a fast-moving environment with sometimes unclear or evolving priorities

Job Responsibility

Be part of the front-end (UI) development team working on a SaaS based product used by enterprises around the world
Identify and troubleshoot UX problems, measure the effectiveness and usage of the UI, and continuously strive to improve the user experience
Develop, test, and deliver high quality features, and contribute to the continual improvement of our front-end architecture

What we offer

Competitive salary and comprehensive benefits package including Health, Dental, Vision and Mental Health plans
401(k) plan to support your longterm financial goals
Flexible PTO to maintain a healthy work-life balance
Opportunities for co-working and team meetups
A dog-friendly office environment

Fulltime

Member of Technical Staff - Backend Engineer

Endor Labs is building the Application Security platform for the software develo...

Location

Netherlands

Salary:

70000.00 - 100000.00 EUR / Year

Endor Labs

Expiration Date

Until further notice

Requirements

Bachelor’s or higher degree in engineering, with 6–8 years of experience building scalable backends for product/SaaS companies
At least 3 years of experience in Golang programming, with a focus on microservices and distributed architecture
Practical experience designing APIs with one or more frameworks (gRPC [preferred], REST, GraphQL, Thrift, etc.)
Affinity with modern AI platforms (OpenAI, Google Gemini, LangChain, etc.)
Ability to build and design technical solutions from scratch, with code and documentation that exemplify best practices at Endor
Scalable distributed systems experience—understanding microservices, domain-driven design, load balancing, horizontal/vertical scaling, and stateless architectures
Strong architectural knowledge, with a keen eye for scalable and extensible systems. Able to apply data-driven techniques to evaluate and recommend architectural choices
Ability to discuss trade-offs between architectural decisions and influence teams toward the right direction
Comfort working in a fast-moving environment with evolving requirements
Creative and independent problem-solving skills, especially in uncharted or ambiguous contexts

Job Responsibility

Work closely with the R&D team to help integrate novel solutions and scale them to production
Design and implement AI-first platforms
Have the autonomy and responsibility to design and implement high-quality features used by customers
Lead and contribute to large-scale technical projects, ensuring scalability, reliability, and performance
Design, architect, and build features end-to-end—including unit and integration tests—while working closely with Product Management and our distributed engineering team

Fulltime

Member of Technical Staff, AI Training Infrastructure

As a Training Infrastructure Engineer, you'll design, build, and optimize the in...

Location

United States , San Mateo

Salary:

175000.00 - 220000.00 USD / Year

Fireworks AI

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience
3+ years of experience with distributed systems and ML infrastructure
Experience with PyTorch
Proficiency in cloud platforms (AWS, GCP, Azure)
Experience with containerization, orchestration (Kubernetes, Docker)
Knowledge of distributed training techniques (data parallelism, model parallelism, FSDP)

Job Responsibility

Design and implement scalable infrastructure for large-scale model training workloads
Develop and maintain distributed training pipelines for LLMs and multimodal models
Optimize training performance across multiple GPUs, nodes, and data centers
Implement monitoring, logging, and debugging tools for training operations
Architect and maintain data storage solutions for large-scale training datasets
Automate infrastructure provisioning, scaling, and orchestration for model training
Collaborate with researchers to implement and optimize training methodologies
Analyze and improve efficiency, scalability, and cost-effectiveness of training systems
Troubleshoot complex performance issues in distributed training environments

What we offer

meaningful equity in a fast-growing startup
comprehensive benefits package

Fulltime

Member of Technical Staff, Cloud Infrastructure

As a Software Engineer on our Cloud Infrastructure team, you'll be at the forefr...

Location

United States , New York, NY; San Mateo, CA; Redwood City, CA

Salary:

175000.00 - 220000.00 USD / Year

Fireworks AI

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
5+ years of experience designing and building backend infrastructure in cloud environments (e.g., AWS, GCP, Azure)
Proven experience in ML infrastructure and tooling (e.g., PyTorch, TensorFlow, Vertex AI, SageMaker, Kubernetes, etc.)
Strong software development skills in languages like Python, or C++
Deep understanding of distributed systems fundamentals: scheduling, orchestration, storage, networking, and compute optimization

Job Responsibility

Architect and build scalable, resilient, and high-performance backend infrastructure to support distributed training, inference, and data processing pipelines
Lead technical design discussions, mentor other engineers, and establish best practices for building and operating large-scale ML infrastructure
Design and implement core backend services (e.g., job schedulers, resource managers, autoscalers, model serving layers) with a focus on efficiency and low latency
Drive infrastructure optimization initiatives, including compute cost reduction, storage lifecycle management, and network performance tuning
Collaborate cross-functionally with ML, DevOps, and product teams to translate research and product needs into robust infrastructure solutions
Continuously evaluate and integrate cloud-native and open-source technologies (e.g., Kubernetes, Ray, Kubeflow, MLFlow) to enhance our platform’s capabilities and reliability
Own end-to-end systems from design to deployment and observability, with a strong emphasis on reliability, fault tolerance, and operational excellence

What we offer

Meaningful equity in a fast-growing startup
Competitive salary
Comprehensive benefits package

Fulltime

Member of Technical Staff, Performance Optimization

We're looking for a Software Engineer focused on Performance Optimization to hel...

Location

United States , San Mateo

Salary:

175000.00 - 220000.00 USD / Year

Fireworks AI

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience
5+ years of experience working on performance optimization or high-performance computing systems
Proficiency in CUDA or ROCm and experience with GPU profiling tools (e.g., Nsight, nvprof, CUPTI)
Familiarity with PyTorch and performance-critical model execution
Experience with distributed system debugging and optimization in multi-GPU environments
Deep understanding of GPU architecture, parallel programming models, and compute kernels

Job Responsibility

Optimize system and GPU performance for high-throughput AI workloads across training and inference
Analyze and improve latency, throughput, memory usage, and compute efficiency
Profile system performance to detect and resolve GPU- and kernel-level bottlenecks
Implement low-level optimizations using CUDA, Triton, and other performance tooling
Drive improvements in execution speed and resource utilization for large-scale model workloads (LLMs, VLMs, and video models)
Collaborate with ML researchers to co-design and tune model architectures for hardware efficiency
Improve support for mixed precision, quantization, and model graph optimization
Build and maintain performance benchmarking and monitoring infrastructure
Scale inference and training systems across multi-GPU, multi-node environments
Evaluate and integrate optimizations for emerging hardware accelerators and specialized runtimes

What we offer

Meaningful equity in a fast-growing startup
Competitive salary
Comprehensive benefits package

Fulltime

Member of Technical Staff, Research

As a Member of Technical Staff on the Research team, you’ll push the boundaries ...

Location

United States , San Mateo

Salary:

175000.00 - 240000.00 USD / Year

Fireworks AI

Expiration Date

Until further notice

Requirements

Research background in Artificial Intelligence, Machine Learning, Physics, or similar field
Experience solving analytical problems using analytic and quantitative approaches
Experience communicating research to audiences with different backgrounds
Experience coding in C/C++, Python, or other similar languages

Job Responsibility

Conduct foundational research to advance the capabilities, efficiency, and reliability of LLMs and multimodal systems
Design, implement, and evaluate novel model architectures, training methods, and optimization techniques
Collaborate with engineering teams to transition research prototypes into production-grade systems
Analyze empirical results, identify performance bottlenecks, and iterate quickly to improve model quality
Contribute to internal research strategy by identifying high-impact opportunities and emerging trends in AI

What we offer

Meaningful equity in a fast-growing startup
Competitive salary
Comprehensive benefits package

Fulltime

Member of Technical Staff – Backend

As a backend engineer at Inflection, you will own the platforms, systems, and se...

Location

United States , Palo Alto

Salary:

175000.00 - 350000.00 USD / Year

Inflection AI

Expiration Date

Until further notice

Requirements

5+ years of experience building and scaling backend systems for high-throughput applications
Fluent in building distributed systems with Python, Go, Rust, or similar languages
Comfortable with cloud-native architectures (e.g., Kubernetes, gRPC, Postgres, Redis, Kafka)
Owned backend services end-to-end—from design and implementation to deployment, monitoring, and debugging
Thrive in fast-paced environments where you can move quickly without sacrificing engineering rigor
Proactively improve tooling and infrastructure to support teammates’ workflows and reliability goals
Communicate clearly across disciplines and take pride in solving user-facing problems with clean backend solutions
Have a bachelor’s degree or equivalent in a related field to the offered position requirements

Job Responsibility

Design and implement scalable backend systems and APIs that power production LLM experiences, including agentic workflows, memory systems, and tool integrations
Build and operate high-availability infrastructure to support real-time inference, retrieval, and conversation pipelines
Develop internal platforms to improve engineering productivity—CI/CD pipelines, service templates, observability frameworks, and rollout tooling
Collaborate closely with applied research and frontend teams to rapidly prototype, ship, and iterate on end-user features
Ensure systems meet our high bar for security, uptime, and latency—through incident response, load testing, monitoring, and automation
Participate in on-call rotations to maintain the reliability of the services you build

What we offer

Diverse medical, dental and vision options
401k matching program
Unlimited paid time off
Parental leave and flexibility for all parents and caregivers
Support of country-specific visa needs for international employees living in the Bay Area
Competitive stock options

Member of Technical Staff

Interaction

Location:
United States , San Francisco Bay Area, California

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Requirements:

Additional Information:

Job Posted:
February 21, 2026

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Location:
United States , San Francisco Bay Area, California

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
February 21, 2026