Other Requirements:

• Requires being in our NYC office 5 days a week

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.

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.

Education Requirements:

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

Experience Requirements:

• 5+ years in a solutions architect or engineering role, preferably within cloud or AI infrastructure domains.

• Previous pre-sales experience, including POCs, with client stakeholders, including senior technical staff and management.

Other Requirements:

• Hands-on experience with cloud platforms (AWS, GCP, Azure, OCI).

• Strong understanding of Kubernetes and container orchestration.

• Extensive knowledge of networking protocols.

• Excellent communication and relationship-building abilities, with a customer-centric mindset.

• Proficiency with Python, SQL, and Linux (Golang, C, C++, and Java are a plus).

Responsibilities:

• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.

• Lead proof of concept evaluations to showcase the value of Clockwork's solutions within customer environments.

• Provide technical leadership during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.

• Work closely with Clockwork's sales team to complete PoC evaluations and close deals.

• Collaborate with product and engineering teams, and identify opportunities for product enhancement.

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.

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:

• 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

Benefits:

• Competitive compensation and performance bonus scheme

• Employee enablement, global team, trust and recognition culture

• Comprehensive health plans, flexible work, generous paid leaves

Benefits:

• Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.

• Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.

• Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.

• Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.

• Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.

Experience Requirements:

• 4+ years of experience in software engineering

• Proven track record of translating complex technical concepts into clear business value propositions with measurable outcomes

• Entrepreneurial mindset with experience driving initiatives from concept to execution

• Solid understanding of modern programming languages and (AI) frameworks (e.g., Python, LangChain, Vercel AI-SDK, React, TypeScript, Next.js, etc.)

Other Requirements:

• A skillset at the intersection of software development, business strategy and customer engagement

• Strong problem-solving skills and a knack for innovative thinking

• Excellent communication skills and a collaborative team spirit

Responsibilities:

• Partner directly with customers to translate critical business requirements into technical solutions, engaging with customer executives to architect software that addresses their most pressing challenges in banking

• Drive high-stakes projects with CTO-level ownership, writing production-quality code while balancing multiple technical and business priorities across architecture, coding, and strategic planning

• Architect and build end-to-end systems integrating AI models, backend APIs, and web applications while owning complete technical solutions from design through production deployment

• Learn and drive engineering best practices

Benefits:

• Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.

• Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.

• Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.

• Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.

• Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.

Experience Requirements:

• 5+ years of experience in client-facing solution architecture, technical consulting, technical product management or implementation roles

• Deep understanding of cloud-native architectures and APIs (RESTful services, authentication standards, etc.)

• Proven experience integrating SaaS or AI-driven platforms into complex enterprise environments

• Familiarity with data pipelines, ETL tools, and financial systems integration

• Prior experience in fintech, banking, or highly regulated industries is a strong plus

Other Requirements:

• Skilled in navigating technical discussions with both engineers and executives

• Strong problem-solving mindset with an ability to manage multiple priorities in a fast-paced environment

• Excellent written and verbal communication skills

• Proficiency in one or more programming languages (NextJS, Typescript preferred)

• Hands-on experience with compliance-sensitive implementations (e.g., KYC/AML, credit decisioning workflows)

Responsibilities:

• Lead post-sales technical implementation for our AI-powered lending platform with major U.S. financial institutions

• Translate complex client needs into scalable, secure, and high-performance architectures

• Collaborate cross-functionally with Engineering, Product, and Risk to deliver seamless integrations

• Guide clients through API integrations, data mapping, and custom configurations

• Be the trusted technical advisor for clients, ensuring long-term success and satisfaction

Benefits:

• Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.

• Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.

• Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.

• Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.

• Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.

Education Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)

Experience Requirements:

• 5+ years of software development experience, particularly in scalable backend and infrastructure systems (e.g., Rust, Node.js, Python, or Go), and modern deployment technologies like Docker, Kubernetes, and Helm.

• Strong experience with major cloud platforms (AWS, Azure, GCP) and their managed services for compute, storage, and networking.

• Proficiency in infrastructure as code tools (e.g., AWS CDK, Terraform, Pulumi) and CI/CD automation (e.g., GitHub Actions, Jenkins).

• Experience with building observability tooling including metrics collection, distributed tracing, logging systems, and monitoring dashboards.

• Experience with enterprise software features like permissions (RBAC), analytics, audit logs, notifications, self-serve onboarding, and provisioning.

Other Requirements:

• Proven ability to mentor and guide technical teams.

Responsibilities:

• Architect and enhance platform features including authentication, auditability, and enterprise integrations across the banking ecosystem.

• Build and maintain high-performance, developer-friendly infrastructure using containerization (Docker), orchestration (Kubernetes, Helm), and cloud-native services across AWS, Azure, and GCP.

• Improve reliability, scalability, and compliance for platform services like permissions management, admin reporting, and customizations

• Develop and optimize infrastructure as code (AWS CDK, Terraform) and CI/CD pipelines to automate deployments, ensuring high availability, disaster recovery, and efficient resource utilization.

• Collaborate with AI engineers to benchmark & integrate models into the core platform.

Benefits:

• Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.

• Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.

• Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.

• Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.

• Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.

Experience Requirements:

• 3+ years of management consulting experience at a leading firm (McKinsey, Bain, BCG, etc.) or strategic roles at high-growth tech companies

• Proven ability to structure complex operational challenges, build scalable processes, and drive execution in fast-paced startup environments

• Experience managing internal operations, team coordination, or chief of staff responsibilities at high-growth companies

• Background in fintech, banking, or lending industry

Other Requirements:

• Strong analytical skills with ability to work across both quantitative analysis and qualitative strategic thinking

• Exceptional communication skills and ability to coordinate across all levels of the organization, from individual contributors to executive leadership

• Previous founder's office, chief of staff, or CEO assistant experience at a scaling startup

• Experience building internal operations during rapid team growth (30+ to 200+ employees)

Responsibilities:

• Manage CEO priorities and special projects, ensuring critical initiatives stay on track while maintaining focus on core business objectives

• Drive cross-functional alignment and communication, breaking down silos between teams and ensuring everyone is working toward shared goals

• Own internal operations spanning executive team coordination and strategic planning processes

• Partner directly with the CEO on critical operational initiatives including team scaling and process optimization

• Lead internal projects that drive operational excellence, from implementing new systems to streamlining workflows across all teams

Benefits:

• Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.

• Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.

• Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.

• Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.

• Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.

Education Requirements:

• Degree in Computer Science or experience as an engineer preferred

Experience Requirements:

• 4+ years of proven experience as a Product Manager or Product Lead in a fast-paced, tech-driven environment, preferably delivered customer-facing AI technology or financial service products.

• Familiarity with AI, machine learning, and/or financial services is highly desirable.

Other Requirements:

• Strategic Thinking: Demonstrated ability to think creatively, innovate, and challenge the status quo to develop unique, differentiated products.

• Cross-Functional Leadership: Excellent communication, collaboration, and influencing skills across diverse teams.

• Analytical Skills: Strong analytical and problem-solving abilities with a data-driven approach to decision-making.

• Adaptability: Ability to manage multiple priorities, pivot quickly, and thrive in a dynamic startup environment.

Responsibilities:

• Oversee the product development lifecycle from concept to release, ensuring alignment with Casca’s strategic goals.

• Define clear product roadmaps based on stakeholder input and user feedback.

• Drive product development with subject matter experts and designer partners.

• Champion user-centric design by ensuring products are intuitive, user-friendly, and meet the highest quality standards.

• Drive the product vision and strategy by thinking outside the box to deliver AI-native solutions that set new industry standards.

Experience Requirements:

• 5–7 years of experience in Business Systems, Revenue Operations, or Business Applications roles (startup or scale-up experience preferred)

• Strong analytical skills with the ability to analyze ROI, create case studies, and translate data into actionable insights

• Proven track record managing end-to-end systems implementations and cross-functional projects

• Strong, hands-on experience with Salesforce, HubSpot, Intercom, Zendesk, and BI tools (Quicksight/Tableau)

• Experience with integration tools and understanding of APIs

Other Requirements:

• Excellent project management skills: able to juggle multiple projects and stakeholders with clear communication

• Strong interpersonal and leadership skills; able to influence across teams

• Comfortable working independently in a fast-paced, resource-constrained startup environment

• Proactive, self-starter with an ownership-driven mindset

Responsibilities:

• Implement, configure, and maintain core business platforms: CRM (Salesforce), CS tools (Intercom/Zendesk), BI (Quicksight/Tableau), and others

• Serve as system administrator: manage configuration, user roles, workflows, and integrations

• Build and maintain dashboards and recurring reports for leadership and GTM teams

• Track and analyze key metrics: pipeline, revenue, churn/retention, customer health, support SLAs, and financial KPIs

• Lead end-to-end business application projects: from scoping and requirements gathering to implementation, testing, and adoption