Total 7 job vacancies by Rapsodo Pte. Ltd.

Description
Rapsodo is a global sports technology company with offices in Singapore, the United States, Türkiye, Japan, and Malaysia. We build data-driven, portable, and easy-to-use sports analytics products that help athletes at every level understand and improve their performance. From Major League Baseball pitchers to professional golfers, our technology is trusted by athletes and coaches worldwide — from youth development to elite competition. Our products deliver real-time, actionable insights that directly impact performance.

We operate at the intersection of hardware and software, designing and building integrated systems with a strong emphasis on accuracy, reliability, and performance. Rapsodo is a globally distributed team, working across regions, cultures, and time zones. What enables us to operate effectively is not just technical capability, but how we work — with ownership, clarity, and disciplined execution.

The Group Finance Manager is a hands-on finance role responsible for the day-to-day financial operations, reporting, and compliance across group entities. Reporting to the Finance Director, this individual will execute group consolidation, support planning cycles, and ensure intercompany and statutory obligations are met accurately and on time. The role suits a detail-oriented finance professional who is comfortable working across jurisdictions and can operate independently with minimal oversight.

Key Responsibilities

1. Financial Reporting & Consolidation

• Maintain and reconcile intercompany balances across entities, ensuring alignment with agreed intercompany agreements and pricing terms.
• Support the preparation of statutory financial statements and liaise with external auditors during annual audits.
• Ensure all reporting deadlines are met, and financials are accurate, complete, and audit-ready.

2. Budgeting & Financial Analysis

• Assist in the preparation of annual budgets and quarterly forecasts across entities, working closely with the Finance Director.
• Perform variance analysis (actual vs. budget/forecast) and prepare clear commentary for management review.
• Prepare routine financial reports and dashboards for internal stakeholders.
• Support ad hoc financial analysis as required by the business.
• Work with stakeholders to create additional reports (e.g. monthly manpower report with HR) as and when needed and work on judiciously introducing AI in the finance processes (e.g. in KPI setting)

3. Accounts & Month-End Close

• Own the month-end close process for assigned entities, ensuring timely posting of journals, accruals, and prepayments.
• Review and reconcile balance sheet accounts, flagging issues and resolving discrepancies promptly.
• Maintain accurate records of fixed assets, deferred revenue, and other SaaS-relevant accounting items.

4. Treasury & Cash Management

• Monitor group cash positions across entities and prepare regular cash flow reports.
• Process and track intercompany payments and recharges in line with intercompany agreements.
• Assist with banking administration including account documentation, signatories, and correspondence with banks (e.g. DBS and other group banks).

5. Compliance & Controls

• Ensure compliance with local statutory requirements across Singapore and other relevant jurisdictions (GST filings, corporate secretarial deadlines, etc.).
• Support transfer pricing compliance - maintain documentation, assist with functional analysis memos, and ensure intercompany pricing aligns with agreed mark-up structures.
• Implement and adhere to internal controls and finance policies; flag control gaps to the Finance Director.
• Assist in preparation of board resolutions and director-level correspondence related to finance matters.

6. Systems & Process

• Maintain data integrity within the ERP system (e.g. NetSuite and the financial data flows between systems) and ensure chart of accounts and entity structures are correctly maintained.
• Identify and flag process inefficiencies; support process improvement initiatives led by the Regional Finance Director.
• Assist with finance system updates, reconciliations between systems, and data validation. As part of the finance leadership team, drive further process improvement in e.g. automatic data capture (e.g via OCR), integration with the banks, automation of controls and report generation.

Requirements

• Degree in Accountancy, Finance, or equivalent; CPA / CA / ACCA.
• 7 - 9 years of relevant finance or accounting experience, including at least 1–2 years in a multi-entity or group finance environment.
• Solid working knowledge of IFRS; familiarity with consolidation accounting and intercompany treatment.
• Hands-on experience with ERP systems (NetSuite, SAP, or equivalent) and strong Excel skills.
• Experience in a technology, SaaS, or subscription-based business is an advantage.
• Familiarity with transfer pricing concepts and intercompany service agreements.
• Experience with deferred revenue, subscription billing, or SaaS revenue recognition.

Rapsodo is a global sports technology companywith offices in Singapore, the United States, Türkiye, Japan, and Malaysia. Webuild data-driven, portable sports analytics products that help athletesunderstand and improve their performance.

From Major League Baseball pitchers toprofessional golfers, our products are used globally across all levels ofsport. Delivering these products requires strong execution across hardware,software, and real-world environments.

We operate as a globally distributed team,enabled by ownership, clarity, and disciplined execution.

Weare innovative, focused, and rapidly growing. We are continuously looking forteam players who will stop at nothing to deliver state-of-the-art solutions aspart of Team Rapsodo.

Join our growingteam as an HR Intern supporting core HR operations that require accuracy,coordination, and consistent follow-through.

You will be part ofthe HR team supporting day-to-day operations across the employee lifecycle.This role requires professionalism and discretion due to exposure to sensitiveinformation.

About the Role

You will supportday-to-day HR operations across recruitment and employee lifecycle processes,with a focus on execution, accuracy, and follow-through.

This is a hands-onrole where you will be trusted to handle real work. You will manage details,follow up with stakeholders, and ensure tasks are completed accurately and ontime.

The role is bestsuited for individuals who are reliable, detail-oriented, and able to workindependently once given direction.

Key Responsibilities

HR Operations & Recruitment

• Maintain accurate and up-to-date candidate records in the applicanttracking system (ATS)
• Track interview progress and follow up with stakeholders to ensuretimely movement
• Coordinate interviews and hiring logistics
• Follow up with hiring managers on interview feedback and pending actions

Process &Data Discipline

• Ensure HR data is accurate, complete, and properly documented
• Track key HR data points (headcount, joiners/leavers, status changes)
• Maintain recruitment, onboarding, and other trackers with consistentupdates
• Prepare simple weekly summaries (e.g., hiring pipeline status)
• Support process mapping and documentation of HR workflows
• Identify gaps or inefficiencies and propose practical improvements
• Ensure tasks are completed accurately and on time, as delays or errorscan impact hiring timelines and employee experience

Coordination& Execution

• Coordinate with IT and other teams for new hire onboarding
• Follow up on pending documents, approvals, or actions acrossstakeholders
• Coordinate across teams and time zones (Singapore, US, Japan, etc.)
• Escalate when timelines are at risk or tasks are delayed
• Assist with coordination of tasks and activities where required

What We Look For

• Able to commit to a 6-month full-time internship starting May 2026
• Currently pursuing a Diploma or Degree in Human Resource Management,Business, Humanities or a related field
• Reliable and follows through on tasks proactively
• Pays attention to details and takes pride in getting things right
• Comfortable working independently once given direction
• Able to organize tasks and manage multiple priorities
• Communicates clearly and simply
• Comfortable working in a fast-paced, multicultural environment
• Enjoys structured, execution-focused work and seeing tasks through tocompletion
• Being a sports enthusiast is a plus, but not required.

Rapsodo is a global sports technology companywith offices in Singapore, the United States, Türkiye, Japan, and Malaysia. Webuild data-driven, portable sports analytics products that help athletesunderstand and improve their performance.

From Major League Baseball pitchers toprofessional golfers, our products are used globally across all levels ofsport. Delivering these products requires strong execution across hardware,software, and real-world environments.

We operate as a globally distributed team,enabled by ownership, clarity, and disciplined execution.

Weare innovative, focused, and rapidly growing. We are continuously looking forteam players who will stop at nothing to deliver state-of-the-art solutions aspart of Team Rapsodo.

Join the teamas an IT Intern supporting core IT operations that require accuracy,coordination, and consistent follow-through.

You will be part of the IT team supporting day-to-day operations acrosssystems, devices, and user support. This role requires professionalism anddiscretion due to exposure to sensitive information.

About the Role

You will support day-to-day IT operations across the organization, with a focus on hands-ontroubleshooting, system support, and execution.

This is apractical, hands-on role where you will work on real systems and devices usedby teams across Singapore and globally. You will be exposed to how IT supportsa fast-paced, international company, and will build a strong foundation in IToperations, user support, and systems thinking.

The role is bestsuited for individuals who enjoy solving problems, working with technology, andtaking ownership of tasks from start to finish.

Key Responsibilities

IT Operations & Support

• Set up and configure laptops, devices, and user accounts for new hires
• Provide first-level IT support (hardware, software, network access,basic troubleshooting)
• Assist users with day-to-day technical issues in a timely and structuredmanner
• Support onboarding and offboarding processes from an IT perspective

Systems &Tools

• Support administration of internal tools (e.g. Google Workspace,Microsoft 365, access management)
• Assist in maintaining user access, permissions, and system hygiene
• Help track and manage IT assets (laptops, peripherals, inventory)

Process &Documentation

• Document common issues, fixes, and IT processes for internal reference
• Maintain accurate records of support requests and resolutions
• Identify recurring issues and suggest simple improvements or fixes

Coordination& Execution

• Work with cross-functional teams (HR, Finance, Engineering) onIT-related requests
• Follow up on pending tasks and ensure timely completion
• Escalate more complex technical issues when required

What We Look For

• Able to commit to a full-time internship for 5 months or more
• Currently pursuing a Diploma in Information Technology, Cybersecurity,or related field
• Hands-on interest in IT (e.g. troubleshooting, setting up devices,building PCs is a plus)

• Willing to learn, take initiative, and contribute to day-to-dayoperations
• Organized and able to manage tasks independently once given direction
• Strong problem-solving mindset with attention to detail
• Comfortable communicating with both technical and non-technical users
• Able to handle sensitive information with care and professionalism
• Comfortable working in a fast-paced, multicultural environment

Rapsodo is a global Sports Technology company with offices in the USA, Singapore, Turkey, and Japan. We develop cutting-edge sports analytics products that are data-driven, portable, and easy to use, empowering athletes at all levels to analyze and improve their performance. From Major League Baseball pitchers to professional Golf tour players, athletes around the world rely on Rapsodo technology to refine their game.

Job Description

Our algorithm team designs and implements state-of-the-art computer vision and deep learning solutions for Rapsodo’s advanced sports analytics products. As a Senior Computer Vision Engineer, you will develop cutting-edge 3D vision, image processing, and AI-driven measurement solutions that help athletes reach their full potential.

This role requires a strong foundation in computer vision, deep learning, and embedded AI, with opportunities to contribute to both new product development and optimization of existing models for edge computing.

Key Responsibilities

• Develop Advanced Vision Algorithms – Design, implement, and optimize 3D vision, image classification, segmentation, and feature extraction algorithms.
• Neural Network Development – Architect and train CNNs and custom deep learning models using PyTorch, TensorFlow, or ONNX for real-time applications.
• Embedded AI & Edge Optimization – Optimize and port vision models to embedded platforms (ARM, GPU, TPU, or custom accelerators) for high-performance, low-latency inference.
• Camera Calibration & 3D Vision – Develop and enhance multi-camera calibration, stereo vision, and 3D reconstruction techniques.
• Software Architecture & API Design – Design scalable computer vision pipelines and APIs for seamless integration with Rapsodo’s product ecosystem.
• Performance Optimization – Apply quantization, pruning, and model compression techniques to enhance real-time inference efficiency on resource-constrained
• Education – Master’s or Ph.D. in Computer Science, AI, Robotics, or a related field, specializing in Computer Vision & Image Processing.
• Experience – 6-8+ years of hands-on experience in computer vision, deep learning, and real-time image processing.

Technical Expertise:

• 3D Vision & Camera Calibration – Strong foundation in multi-camera setups, stereo vision, and geometric transformations.
• Deep Learning & Vision Models – Expertise in CNNs, object detection, pose estimation, segmentation, and feature extraction.
• AI Frameworks & Optimization – Hands-on experience with PyTorch, TensorFlow, OpenCV, and model compression techniques (quantization, pruning, distillation, etc.).
• Embedded Deployment – Experience optimizing and deploying deep learning models on ARM, GPU, TPU, or custom edge AI hardware.
• Programming & Software Development – Strong proficiency in C/C++ with some Python, and experience in software architecture and API design.
• Problem-Solving & Communication – Strong analytical skills and ability to collaborate across teams, explaining technical concepts to diverse stakeholders.

Why Join Us?

• At Rapsodo, you will work on high-impact, real-time AI-driven vision systems that push the boundaries of sports analytics. Join a fast-growing, innovation-driven team to shape the future of sports technology.
• Apply now and be part of our cutting-edge vision engineering team!

Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable and easy-to-use to empower athletes at all skill levels to analyse and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

We are innovative, focused and rapidly growing. We are continuously looking for team players who will stop at nothing to deliver state of the art solutions as part of Team Rapsodo.

This role requires a highly versatile skill set and you will have opportunities to contribute to all relevant domains. Your responsibilities will include development and enhancing of new and existing products.

Responsibilities:

• Hardware Design, document and develop optimized hardware- PCB Layout and Schematic Capture
• Testing, bug fixing, improving hardware performance
• Create schematic and PCB Library and Bill of Materials
• Preparing plans and documentation to support product through certification/approval
• Assisting on product issues both during production and in-service

Requirements:

• Bachelor's Degree in Electrical or Electronics Engineering preferred
• Minimum 5 years of experience in Hardware Design, Validation, & Optimization
• Proven Experience in High Speed Digital board design with experience in interfacing bus standards like DDR3/4/ LVDS/MIPI/PCIe etc.
• Analog Circuit Design & Simulation
• Experience in developing complex CPU and microcontroller-based system
• Experience in dealing with regulatory requirements such as FCC/CE
• Experience in Design Tools (Altium Designer, Pads logic and layout, Allegro or OrCAD, Microsoft Office package, JIRA, VHDL, Linux)
• Ability to work in a dynamic environment with good communication and interpersonal skills

Are you an engineer at heart with a passion for solving complex technical challenges? Do you thrive on leading teams to develop high-performance embedded systems that push the boundaries of AI, computer vision, and real-time data processing? At Rapsodo, we turn cutting-edge technology into game-changing solutions.

As a global leader in sports vision technology, we design and develop advanced hardware products integrating cameras, radars, deep learning, and embedded systems powered by multiprocessor ARM architectures. Our solutions deliver real-time AI-driven insights, high-performance computing, and data precision to help athletes and teams elevate their game.

We are looking for an Engineering Manager to drive the end-to-end development of our embedded technology stack. You will lead teams, make critical technical decisions, and ensure the successful execution of high-performance embedded systems, firmware, and AI-driven applications from concept to deployment.

Key Responsibilities

Technical Leadership

• Oversee the architecture, development, and optimization of embedded firmware, middleware, and system software for high-performance multi-processor ARM-based systems.
• Drive the integration of computer vision, deep learning models, radar signal processing, and embedded systems into efficient and scalable hardware solutions.
• Ensure seamless middleware implementation for real-time inter-process communication, memory management, and low-latency execution on embedded platforms.
• Lead firmware development, ensuring robust device control, driver optimization, and real-time data acquisition from cameras, radars, and sensors.
• Optimize system performance, power efficiency, and reliability for edge computing and AI acceleration applications.
• Develop and optimize Embedded Linux environments, including kernel modifications, device drivers, and system-level optimizations for high-performance computing.
• Stay ahead of the latest embedded systems technologies, AI-driven hardware architectures, and hardware acceleration frameworks.

Project Execution & Delivery

• End-to-End Project Ownership: Drive the full product lifecycle—from concept, design, development, and prototyping to manufacturing, testing, and deployment.
• Team & Stakeholder Management: Collaborate with cross-functional teams (software, hardware, ML engineers) and manage technical challenges, scope, and timelines.
• Execution & Risk Management: Identify and mitigate technical, operational, and execution risks to keep projects on track.
• Ensure the on-time and high-quality execution of engineering projects, implementing best practices in software and hardware development.

Requirements

• MS/MEng/PhD in Electrical Engineering, Computer Engineering, or a related field
• 10+ years of experience in embedded systems, firmware, middleware, and computer vision applications
• Strong expertise in C/C++, Python for real-time, low-latency applications in computer vision or signal processing
• Deep understanding of middleware frameworks, multi-core processing, inter-process communication, and Embedded Linux development
• Hands-on experience with ARM multi-core architectures, and real-time embedded systems
• Strong expertise in firmware development, low-level device drivers, and kernel-space programming for Embedded Linux
• Experience with radar signal processing, sensor fusion, and deep learning frameworks (TensorFlow, PyTorch, ONNX, etc.)
• Proven experience managing complex hardware-software integration projects
• Strong leadership, problem-solving, and project management skills
• Excellent communication skills to translate technical details to both engineering teams and business stakeholders
• Entrepreneurial mindset—ability to thrive in a fast-paced, dynamic, and highly technical environment

Benefits

At Rapsodo, you will have the opportunity to

• Work on cutting-edge technology that integrates AI, sensor fusion, and high-performance embedded computing,
• Be part of a highly skilled, multidisciplinary engineering team driving innovation,
• Lead end-to-end product development with real-world impact,
• Shape the future of sports through advanced embedded systems and AI-driven solutions.

If you’re passionate about solving complex engineering challenges and want to be at the forefront of next-generation technology, we’d love to hear from you.

Apply now and be part of the team that’s redefining performance through innovation!

Rapsodo is a global sports technology company with offices in Singapore, the United States, Türkiye, Japan, and Malaysia. We build data-driven, portable, and easy-to-use sports analytics products that help athletes at every level understand and improve their performance. From Major League Baseball pitchers to professional golfers, our technology is trusted by athletes and coaches worldwide — from youth development to elite competition. Our products deliver real-time, actionable insights that directly impact performance.

We operate at the intersection of hardware and software, designing and building integrated systems with a strong emphasis on accuracy, reliability, and performance. Rapsodo is a globally distributed team, working across regions, cultures, and time zones. What enables us to operate effectively is not just technical capability, but how we work — with ownership, clarity, and disciplined execution.

We are building computer-vision capabilities on Linux-based edge devices. This role owns the embedded software that takes models from “works on a workstation” to “runs reliably, efficiently, and measurably fast on-device.” You will develop and optimize inference pipelines, integrate vendor runtimes on NPUs/MPUs, and work close to the Linux kernel when needed (performance, memory, I/O, and driver interactions).

What you will do

• Build and maintain production-grade embedded software for on-device computer vision inference (camera ingest, preprocessing, inference, postprocessing, telemetry) primarily in C++, with Rust as an option where appropriate.
• Integrate and run deep learning models using edge runtimes/toolchains (e.g., TensorRT, TFLite, OpenVINO, ONNX Runtime, vendor SDKs for NPUs/MPUs).
• Profile and optimize end-to-end performance: latency, throughput, memory footprint, power, and thermal constraints.
• Implement deployment-oriented model optimizations when needed (quantization workflows, operator compatibility fixes, graph optimizations, runtime-specific conversion).
• Work on Linux-based embedded platforms: cross-compilation, build systems, packaging, and reliable field deployment.
• Debug complex system issues across the stack: kernel/user-space boundaries, driver/I/O bottlenecks, memory contention, and multi-threaded performance.
• Collaborate with model/CV stakeholders to ensure models are edge-ready (I/O specs, accuracy vs. performance tradeoffs, validation on target hardware).
• Establish and uphold engineering standards: code quality, test strategy, CI, performance benchmarks, and observability on-device.

Required qualifications

• 7–8+ years professional experience in embedded software development, with significant time shipping Linux-based products.
• Strong expertise in C++ (modern C++11/14/17); Rust experience is a plus (or willingness to use Rust where it benefits reliability/performance).
• Strong Linux systems knowledge, including at least some of: kernel fundamentals, device I/O, scheduling, memory behavior, and profiling/debugging tooling (e.g., perf, ftrace, eBPF).
• Working knowledge of computer vision and deep learning inference concepts (pipelines, tensors, common CV tasks, latency/accuracy tradeoffs). You do not need to be a model developer/researcher, but must be fluent in deploying and running models.
• Experience optimizing inference for edge hardware (NPUs/MPUs/GPUs/accelerators), including quantization and runtime constraints.
• Master’s degree minimum in a relevant field (Computer Vision, Machine Learning/Deep Learning, Electrical/Computer Engineering, Computer Science, or related).

Preferred qualifications

• Camera stacks and media pipelines (V4L2, GStreamer, ISP integration).
• Embedded build and deployment toolchains (Yocto/Buildroot, CMake/Bazel).
• Hardware-aware optimization experience (ARM, NEON/SIMD).
• Experience with vendor-specific NPU SDKs and quantization toolchains (e.g., Rockchip RKNN, Qualcomm SNPE/QNN, MediaTek, Intel Movidius, etc.).
• OTA, reliability, and embedded security practices (watchdogs, crash dumps, secure boot).

AI coding tools

• Comfortable using modern AI-assisted development tools (e.g., code completion, refactoring, test generation) while maintaining strong engineering judgment, code review discipline, and security awareness.