Benefits:

• Health plan

• Dental plan

• Extended parental leave

• Daycare assistance

• Education incentive

Education Requirements:

• Academic background in computing (degree complete or in progress in Computer Science, Computer Engineering, Information Systems or related fields)

Experience Requirements:

• Experience with automated tests

• Deep understanding of current system flows to anticipate risks and propose quality improvements

Other Requirements:

• Advanced English

• Tech Stack: Python, Java, Golang, AWS (EKS, SQS, SNS), PostgreSQL, ClickHouse, Redis, Git, Jenkins, Grafana

Responsibilities:

• Investigate and diagnose failures, identifying the root cause of bugs and system inconsistencies.

• Create test suites based on functional and non-functional requirements of features.

• Implement automated tests to ensure coverage and reliability of new functionalities.

• Validate system state before deployments, ensuring all environments are stable and ready for release.

• Continuously monitor application health and performance, acting preventively in cases of instability.

Experience Requirements:

• 3+ years building production systems in Python/Django with Postgres.

• Hands-on experience fine-tuning and optimizing LLMs/SLMs, ideally in fraud, anomaly detection, or adversarial domains.

• A track record of reducing latency/cost in ML inference without compromising accuracy.

• Comfort working across the stack - from PyTorch profiling to Django APIs.

• An experimental but practical mindset: ship fast, measure rigorously, iterate.

Other Requirements:

• Prior work with imbalanced datasets (e.g., 1 in 10,000 fraud cases).

• Knowledge of feature stores, online learning, and temporal aggregation for fraud models.

• Familiarity with regulatory requirements around PII, KYC/AML, and compliance in financial data.

Responsibilities:

• Fine-tune, distill, and quantize LLMs and small language models (SLMs) for fraud detection tasks: entity resolution, anomaly detection, customer communication classification, synthetic data generation.

• Optimize inference so our models run fast and cost-efficiently in production - using techniques like lightweight fine-tuning (LoRA/PEFT), quantization to smaller precisions, and modern serving frameworks (e.g. vLLM, TensorRT)

• Build training/eval pipelines for fraud models that balance recall (catch fraud) with precision (minimize false positives).

• Create golden datasets, adversarial test sets, and online/offline evaluation harnesses that mirror real-world fraud evolution.

• Architect and own Python/Django services that integrate model predictions directly into customer-facing APIs.

Education Requirements:

• relevant education background in Engineering

Experience Requirements:

• 4-5 years

Other Requirements:

• Comfortable using programming languages and relational databases

• Strong debugging and troubleshooting skills

• Strong understanding of JavaScript fundamentals

• Good hands-on experience with React, Redux, Nodejs and Mongo

Responsibilities:

• Own and build new features, improvements, bug fixes

• Write clear quality code for software and applications and perform test reviews

• Develop, implement, and test APIs

• Provide input on software development projects

• Have critical and analytical thinking skills

Benefits:

• flexible remote working environment

• healthy work-life balance

• Base salary + OTE

• high likelihood of this role becoming a leadership role

Experience Requirements:

• 7+ years of user-facing experience whilst working directly for a SaaS company

• Experience with Salesforce, Hubspot, LimeCRM, Microsoft Dynamix, other CRMs

• Tech background (API’s, Web development, JS)

Other Requirements:

• Fluent in English

• High degree of empathy and emotional intelligence

• Demonstrated business acumen and expectation management skills

• Project management skills

• Familiarity with ABM, online advertising and Google Ads

Responsibilities:

• Handle inbound queries via chat and email

• Participate in calls with clients and prospects

• Contribute to our internal and external knowledge bases

• Troubleshoot bugs and file feature requests

• Manage enterprise client requirements during pre-sales transitioning from pre-sales to post-sales

Benefits:

• Hands-on experience in embedded systems, robotics, and AI-driven imaging technologies.

• Exposure to full lifecycle development—from design to testing and deployment.

• Mentorship from experienced engineers and scientists.

• The chance to contribute to cutting-edge innovations in spectral sensing and MedTech.

• The opportunity to work with a cutting-edge AI-powered technology company

Education Requirements:

• Master ’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related technical field.

Experience Requirements:

• Basic to intermediate experience in one or more programming languages such as C#, Python, or JavaScript.

• Familiarity with embedded platforms (Arduino, Raspberry Pi, Jetson).

• Understanding of software–hardware integration and communication protocols (e.g., serial, USB, I2C, SPI).

Other Requirements:

• Curious, proactive, and eager to learn new technologies.

• Strong problem-solving skills and attention to detail.

• Effective communication and collaboration within cross-functional teams.

• Comfortable working in a dynamic startup environment with evolving priorities.

• Applicants must be U.S. citizens.

Responsibilities:

• Assist in the design, development, and testing of embedded and desktop software for device control, spectral data acquisition, and system automation.

• Support implementation and optimization of systems using Arduino, Raspberry Pi, and Nvidia Jetson platforms.

• Help develop and test APIs and system integration for real-time data collection and control of optical devices.

• Contribute to prototyping and automation projects, including interfacing with motors, sensors, and actuators.

• Support data analytics and visualization workflows, including Python-based processing of spectral and image data.

Benefits:

• Non-bureaucratic compute approvals

• Work on frontier methods that scale

• Everyone on the team can code

• Competitive compensation with generous early-stage equity, full medical and vision

Education Requirements:

• BSc/MSc/PhD is an indicator

Experience Requirements:

• Familiar with TRL/veRL/etc.

• Comfortable with torchrun/accelerate/multi-node training.

• Clever about getting the data needed – or synthetically generating it.

• Finds easy solutions to hard problems, but doesn't mind getting their hands dirty, i.e., jumping a layer down into PyTorch or CUDA.

• Publications are a plus, but being able to critically evaluate research is a must.

Other Requirements:

• Not afraid of formulas

• Thinks they can learn anything in 2 weeks, but isn't arrogant about it.

• Prefers .py to .tex

• Must articulate ideas well! A big part of making successful models is telling people about them. This includes writing docs and technical reports at the minimum – and jumping on podcasts at the extreme.

• If you do not have US work authorization, we can help with that.

Responsibilities:

• Post-train reasoning into LLMs with GRPO and SFT.

• Design and iterate RL training environments for retrieval – unstructured, structured, web.

• Own the entire training pipeline: from training data curation to wandb.

• Run small and large model experiments – yolo runs encouraged.

• Work on next-generation vision-first embedding models.

Experience Requirements:

• 3+ years of professional software development experience.

Other Requirements:

• Strong proficiency in React.js and modern JavaScript/TypeScript.

• Experience with backend technologies (Java, Node.js, Python, or similar).

• Experience with Data Engineering and AI tools

• Solid understanding of REST APIs and/or GraphQL.

• Familiarity with cloud platforms (AWS, GCP, or Azure).

Responsibilities:

• Develop and maintain full-stack applications with a focus on frontend React development.

• Collaborate with product managers and designers to create user-friendly interfaces for complex data applications.

• Design, build, and scale backend services and APIs that support a SaaS environment.

• Ensure high performance, security, and reliability of the application.

• Contribute to architectural decisions and participate in code reviews.

Education Requirements:

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

Experience Requirements:

• 4–7 years of professional full-stack development experience.

Other Requirements:

• Proficiency in JavaScript (ES6+), HTML5, CSS3, and modern frontend frameworks such as React, Angular, or Vue.js.

• Strong backend expertise in Java, Spring Boot, or equivalent frameworks for building RESTful services.

• Hands-on experience with PostgreSQL (or other relational databases) — including schema design and performance tuning.

• Solid grasp of data structures, algorithms, and system design principles.

• Experience working in agile development environments with version control (Git).

Responsibilities:

• Design and develop scalable, maintainable, and high-performance web applications across the stack.

• Participate and contribute to Architecture and Design discussions to make key technical decisions for new modules, integrations, and system improvements.

• Build and optimize RESTful APIs, microservices, and database models supporting complex data workflows.

• Design efficient PostgreSQL schemas, ensuring data integrity, scalability, and performance.

• Collaborate with product managers, designers, and data engineers to translate product vision into robust technical solutions.

Benefits:

• Challenging projects.

• A friendly and inclusive workplace culture.

• Competitive compensation.

• A great benefits package.

• Catered lunch

Experience Requirements:

• Deep experience with PyTorch and torch.distributed (c10d)

• Hands-on experience with at least one of: Megatron-LM, DeepSpeed, or FairScale

• Proficiency in Python and Linux shell scripting

• Experience with multi-node GPU clusters using Slurm, Kubernetes, or similar

• Strong understanding of NCCL, collective communication, and GPU topology

Other Requirements:

• Familiarity with debugging tools and techniques for distributed systems.

• Experience scaling LLM training across 8+ GPUs and multiple nodes

• Knowledge of tensor, pipeline, and data parallelism

• Familiarity with containerized training environments (Docker, Singularity)

• Exposure to HPC environments or cloud GPU infrastructure

Responsibilities:

• Develop and support distributed PyTorch training jobs using torch.distributed / c10d

• Integrate and maintain frameworks like Megatron-LM, DeepSpeed, and related LLM training stacks

• Diagnose and resolve distributed training issues (e.g., NCCL hangs, OOM, checkpoint corruption)

• Optimize performance across communication, I/O, and memory bottlenecks

• Implement fault tolerance, checkpointing, and recovery mechanisms for long-running jobs

Benefits:

• Challenging projects.

• Competitive compensation.

• A great benefits package.

• Catered lunches.

• A friendly and inclusive workplace culture.

Education Requirements:

• A degree in computer science, electrical engineering or related field.

Experience Requirements:

• Experience designing, building and deploying large-scale distributed systems.

Other Requirements:

• Fluency in at least one of the following languages: C, C++, Golang, Java, Python.

• Excellent communication skills.

• Excellent debugging and problem solving skills.

• Operating systems expertise (e.g. threads, scheduling, process sync, kernel programming).

• Computer networks expertise (e.g. networking stacks and protocols, queuing theory, congestion control).

Responsibilities:

• Use your coding skills and distributed system knowledge to contribute directly to the design and build of high performance, reliable and scalable systems.

Benefits:

• Challenging projects.

• Competitive compensation.

• A great benefits package.

• A friendly and inclusive workplace culture.

• Catered lunches.

Experience Requirements:

• At least 5 years of experience with C/C++ systems programming

Other Requirements:

• Deep knowledge of Linux internals (e.g., system calls, memory management, kernel modules)

• Strong foundation in concurrent programming and synchronization techniques

• Strong understanding of the TCP/IP stack, socket programming, and low-latency networking (e.g., RDMA, DPDK, XDP)

• Strong understanding of memory hierarchy, CPU caches, multi-core architectures, and GPUs

• Strong skills in systems design, performance analysis, and low-level debugging

Responsibilities:

• Lead/contribute directly to the design and build of high performance, reliable and scalable systems.

Benefits:

• Challenging projects.

• Competitive compensation.

• A great benefits package.

• A friendly and inclusive workplace culture.

• Catered lunches.

Education Requirements:

• A degree in computer science, electrical engineering or related field.

Experience Requirements:

• At least 5 years of industry experience.

Other Requirements:

• Expertise in data structures, algorithms and software design.

• Designing, building and scaling large distributed systems in production.

• Service-oriented architectures and cloud technologies (AWS, GCP, Azure).

• Operating systems (e.g. threads, scheduling, process sync, kernel programming).

• Fluency in one or more languages: C, C++, Golang, Java, Python.

Responsibilities:

• Lead/contribute directly to the design and build of high performance, reliable and scalable systems.

Benefits:

• Challenging projects.

• A friendly and inclusive workplace culture.

• Competitive compensation.

• A great benefits package.

• Catered lunch.

Education Requirements:

• A degree in Computer Science, Electrical Engineering, or a related field.

Other Requirements:

• Proficiency in both front-end and back-end programming languages such as TypeScript, HTML, Go, and Python.

• Strong experience building custom data visualizations and interactive user interfaces.

• Hands-on experience with front-end frameworks (e.g., Vue, React, or similar) and visualization libraries such as D3.js or SVG-based tools.

• Excellent debugging, problem-solving, and collaboration skills.

• Strong communication and attention to detail.

Responsibilities:

• Work in a fast-paced environment that values innovation, diversity of talent, and technical excellence.

• Collaborate closely with Clockwork engineering teams to design, prototype, and implement end-to-end web applications and interactive visualizations that simplify complex data for network engineers and enterprise clients.

• Develop front-end interfaces using modern frameworks and back-end services that ensure performance, reliability, and scalability.

• Write clean, efficient, and maintainable code across multiple languages and layers of the stack.

• Continuously improve platform performance, usability, and design by staying current with modern technologies and development practices.

Benefits:

• Competitive compensation that includes base salary, bonuses and profit sharing

• Equity Awards in the form of Stock Options

• Comprehensive healthcare fully covered for you and your family including medical, dental, and vision

• Flexible work and vacation schedules

• 401k with matching contributions

Experience Requirements:

• 7+ years of experience

• Strong computer science fundamentals and problem solving skills

• A user-centric mindset

• Expert proficiency with SQL, Typescript, and Node

• Experience with GraphQL and/or REST

Other Requirements:

• Experience with Docker, Kubernetes, and at least one major cloud service, such as AWS or GCP

• Experience with pub/sub systems and streaming platforms

• Experience with large-scale, reliable, and low-latency distributed systems

• Excellent communication skills

• Strong desire to grow and learn new things

• Experience developing features that utilize LLMs such as ChatGPT, Gemini, or Claude

• Experience with CRDTs

Responsibilities:

• Iterate with the team on product definition and implementation with a focus on the end user's experience, scalability, and security

• Specify, build, and maintain services, APIs, and features for the product

• Create and support robust integration, testing, deployment, alerting, and monitoring systems

• Perform code reviews and participate in design discussions

• Mentor junior developers

Benefits:

• Competitive salary

• Flexible job schedule and generous vacation policy

• Unlimited access to the latest AI coding assistants

• No corporate bs

• Direct impact: Your work on projects will directly impact millions of worldwide users within months

Experience Requirements:

• Expertise in Python

• A strong background in backend development. Experience with microservices and event-driven architectures

• At ease with containerization technologies (Docker, Kubernetes), CI/CD and cloud platforms

• Experience with SQL and NoSQL databases

• Experience building systems that leverage LLMs

Other Requirements:

• Mastery of system and software design patterns

• Ability to identify problems, propose robust solutions, and execute with velocity and a sense of ownership

• Hands-on, curious, and obsessed with building things that work, scale, and last

Responsibilities:

• Design and build an app that delivers real-time emotional AI experiences at scale (sub-second latency for millions of requests)

• Integrate with LLMs providers, run open-weights models on our GPU clusters, help fine-tune our own LLMs

• Participate in design reviews, set technical direction, and ensure scalability and reliability of applied AI services

• Optimize for global growth: high-availability systems, replication, cost-effective API integrations, and scalable embeddings search

Education Requirements:

• B.Sc. or equivalent experience in Computer Science and Engineering

Experience Requirements:

• 5+ years of hands-on experience in data science - must

Other Requirements:

• Expert-level proficiency in Python and its data manipulation and analysis libraries (e.g., NumPy, pandas, TensorFlow, PyTorch)

• Strong background in networking concepts and protocols – Significant advantage

• Proven experience in production-level software development, with a portfolio of deploying complex models and systems

• Ability to lead technical projects, balance multiple priorities, and meet tight deadlines

• Familiarity with network protocols, hardware, and infrastructure - Significant advantage

• Exude high energy and a positive attitude

• Stellar verbal and written communication skills

• Passionate about data science and implementation

• Have data science and GPU performance experience

• Want to make what was impossible possible!

Responsibilities:

• We expect you to conduct in-depth analysis of datasets, raise and validate hypotheses, extract significant features, and build, train, and deploy models on top of them

• Design and implement high-performance algorithms and data structures applicable to large-scale datasets and distributed processing. You will own the optimization and refinement of models to meet production-level performance and accuracy

• Collaborate with cross-functional teams to help define and execute the technical strategy for integrating AI-driven monitoring and optimization into our networking systems

• Build and test prototypes to demonstrate proof-of-concept and present technical findings to stakeholders and team leadership

• Analyze technical trade-offs in different solutions and design and implement robust systems for improving the throughput of analytics on large data streams

Education Requirements:

• BS, MS, or PhD in EE/CS or related field (or equivalent experience)

Experience Requirements:

• 12+ overall years of relevant experience

• 5 yrs of managing systems/platform software teams, ideally in server RAS, firmware, telemetry, or data center solutions

Other Requirements:

• Strong knowledge of DMTF/PLDM for OOB telemetry collection, time series databases (e.g., InfluxDB, Prometheus) and REST APIs (Redfish)

• Deep understanding of Server and firmware architecture and optimization for low-latency APIs

• Proven track record of delivering scalable server products and telemetry solutions

• Experience with SCM (Git, Perforce) and project management tools (Jira)

• Excellent written and oral communication skills, strong work ethic, and commitment to teamwork

• Hands-on experience with x86/ARM system architecture and coding (C/C++, Python)

• Familiarity with Confidential Compute and notification systems

• Demonstrated ability to analyze algorithms for time/space complexity and system resource requirements

• You are a self-starter who loves to find creative solutions to complicated problems and hands on with coding

• Experience building and scaling telemetry collection and analysis engines

• Active contributor to Open Compute (OCP) and DMTF in relevant areas

• Proven leadership in delivering innovative platform telemetry solutions for large-scale AI infrastructure

Responsibilities:

• Lead Data Center Compute Telemetry & RAS: Own the end-to-end architecture and delivery for telemetry solutions, including fleet health monitoring, fault remediation, and data visualization at scale. Owning OOB telemetry solution and data validation for telemetry from each underlying device

• Build and Mentor a World-Class Team: Recruit, develop, and motivate a high-performing engineering team focused on platform telemetry, RAS and observability

• Process Optimization: Continuously improve software development processes for optimal productivity and quality

• Cross-Functional Collaboration: Work across teams to ensure seamless integration of telemetry solutions with platform firmware, server architecture, and data center management

• Product Ownership: Drive product life cycles with QA teams, ensuring robust testing, productization, and delivery

Education Requirements:

• MS in Electrical or Computer Engineering (or equivalent experience)

Experience Requirements:

• Minimum 5 years experience in Physical Design Engineering

Other Requirements:

• Familiar with aspects of chip design including Floor planning, Clock and Power distribution, Place and Route, Integration and Verification

• Strong background with hierarchical design approach, top-down design, budgeting, timing and physical convergence

• Familiar with various process related design issues including Design for Yield and Manufacturability, EM and IR closure and thermal management

• You'll need to have expertise and in-depth knowledge of industry standard EDA tools

• Proficiency in programming and scripting languages, such as, Perl, Python, and C++

Responsibilities:

• Developing physical design methodologies for implementation of graphics processors and SOCs

• Key responsibility includes developing unique and creative solutions to the state of the art physical design problems that are needed for NVIDIA chips

• Participate in developing flow and tool methodologies for chip floorplan, power and clock distribution, chip assembly and P&R, timing analysis and closure, power and noise analysis and back-end verification across multiple projects

Education Requirements:

• BSc or MSc or equivalent experience in electrical engineering

Other Requirements:

• Deep understanding of how to build and integrate systems with various technology components

• Knowledge and understanding of computing and networking systems

• A can-do attitude and high energy with leadership and excellent interpersonal skills and possess the ability to learn complex concepts in a fast pace environment

• Utmost passion for attention to details in design and a high focus on design quality

• Experience and love for system architecture, CPU/GPU/Memory/Storage/Networking

Responsibilities:

• Define the Network Adapter chip architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). Work with related industry standards & customers on deploying your tech

• Collaborate with teams across teams (physical design, logic design, system software, firmware, applications)

• Work on proof of concepts and advance development projects

• Perform research and analysis for current and future architectures

• Craft product design specifications

Benefits:

• Competitive compensation and performance bonus scheme

• Employee enablement, global team, trust and recognition culture

• Comprehensive health plans, flexible work, generous paid leaves