C++Developer(Computational geometry) at VJ Coresoft Pvt. Ltd · Pune · 5 - 9 years · ₹12L - ₹20L / yr · Bootstrapped · Posted 16 Jan 2026

Here’s a detailed job description you could use for a C++ Developer specializing in Computational Geometry:
🧑💻 Job Description: C++ Developer (Computational Geometry)
📌 Position Overview
We are seeking a highly skilled C++ Developer with expertise in computational geometry to design, implement, and optimize algorithms for geometric modeling, spatial analysis, and high-performance applications. The ideal candidate will have strong problem-solving skills, a deep understanding of geometric data structures, and experience building efficient, scalable software solutions.
🎯 Key Responsibilities
- Develop and maintain C++ applications focused on computational geometry, geometric modeling, and spatial algorithms.
- Implement and optimize algorithms for tasks such as:
- Polygon triangulation
- Convex hulls
- Voronoi diagrams
- Delaunay triangulation
- Collision detection
- Pathfinding and geometric queries
- Work with large-scale geometric datasets and ensure robustness, accuracy, and performance.
- Collaborate with cross-functional teams (e.g., graphics, CAD, robotics, GIS, simulation).
- Write clean, maintainable, and well-documented code following industry best practices.
- Conduct performance profiling and optimize algorithms for real-time applications.
- Stay updated with the latest research and techniques in computational geometry and related fields.
🛠️ Required Skills & Qualifications
- Strong proficiency in modern C++ (C++11/14/17/20).
- Solid understanding of computational geometry concepts and algorithms.
- Experience with data structures (trees, graphs, spatial indexing like KD-trees, R-trees).
- Familiarity with numerical methods and precision handling in geometric computations.
- Knowledge of multithreading, parallel computing, and optimization techniques.
- Experience with libraries such as CGAL (Computational Geometry Algorithms Library), Boost.Geometry, or similar.
- Strong debugging and problem-solving skills.
- Bachelor’s/Master’s degree in Computer Science, Mathematics, or related field.

About VJ Coresoft Pvt. Ltd
About
VJ CORESOFT Pvt. Ltd. (VJCS) is a Pune based IT Company catering services in: • Testing of Engineering Analysis Software • Development related to CAD/CAM/CAE Software • Engineering Design and Analysis (CAD and CAE) VJCS has proven experience of over 22 years across domains such as Automotive, Aerospace, Heavy engineering, Marine engineering, Retail, Oil and Gas industry. Our expertise in design, development, testing, analysis and documentation across CAD, CAM, CAE, and PLM empowers us to provide value added solutions to our clients. Our delivery model ensures seamless execution of projects without compromising on security and confidentiality of client data, IPs, and source codes. We are strategic partner to many multinational companies. We have client base predominantly from North America, China and Europe. VJCS is a subsidiary of Computational Applications and System Integration Inc. (CASI), based in Illinois, USA. CASI's patented FEA solvers are being used by more than 2,00,000 users worldwide, including renowned multinational companies.
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We are looking for a C++ Developer to build high-performance systems software.
Responsibilities
- Develop performance-critical applications in modern C++
- Write concurrent, multithreaded code
- Use STL and Boost effectively
- Profile and optimise for latency and memory
Requirements
- 1+ years of professional C++ development
- Strong understanding of multithreading and memory management
- Linux systems programming experience
Qualifications & Requirements:
- 4+ years of experience in C++ application development.
- Hands-on experience with C++11 or above.
- Strong knowledge of object-oriented programming and software design.
- Deep understanding of STL, multi-threading, socket programming, and data structures.
- Solid grasp of Linux development and debugging techniques.
- Proficient in using GCC, GDB, and Makefile.
- Familiarity with Valgrind and similar analysis tools.
- Experience with version control tools like Git.
- Experience writing and maintaining automated tests.
- Experience in capital markets/trading domain is a plus.
Skills:
- Strong problem-solving and analytical thinking.
- Clear and effective communication.
- Self-driven with the ability to work independently.
- Passionate about high-quality software and strong engineering practices.
- Comfortable working in a fast-paced, collaborative environment.
- Skilled C/C++ Software Engineer to design, develop, and optimize high-throughput, low-latency client-server based application
- Responsible for building backend business logic and managing highly efficient data layers interacting with SQL databases
- Expertise in C++ patterns, memory management, multi-threaded programming, and SQL performance tuning
- Design, build, and maintain efficient, reusable, and reliable C/C++ code for core application layers
- Implement and manage database connectivity abstractions utilizing APIs
- Develop, optimize, and maintain SQL queries, stored procedures, triggers, views, and database schemas
- Diagnose systems issues, identify memory leaks, refactor legacy codebases
- Participate in code reviews, write unit tests, perform testing and operate actively within Agile sprints
- 8+ years of professional development experience using standard C++ with a strong grasp of OOP
- Hands-on expertise with relational databases (e.g., Microsoft SQL Server, MySQL, PostgreSQL, or Oracle)
- Strong proficiency in multi-threading, concurrency, IPC, and socket programming
- Experience developing on Windows environments
- Familiarity with debugging tools and version control platforms like Git
- Background in UI frameworks that hook into C++ backends
- Familiarity with scripting languages (Python or Shell scripting) for database data loading and automation
As an Engineering Manager, you'll lead efforts to strengthen and optimize our state-of-the-art systems, ensuring high performance, scalability, and efficiency across our suite of trading solutions.
The core responsibilities for the job include the following:
Technical Expertise:
- C++ coding and debugging to strengthen and optimize systems.
- Design and architecture (HLD/LLD) to ensure scalable and robust solutions.
- Implementing and enhancing DevOps, Agile, and CI/CD pipelines to improve development workflows.
- Managing escalations and ensuring high-quality customer outcomes.
Architecture and Design:
- Define and refine the architectural vision and technical roadmap for enterprise software solutions.
- Design scalable, maintainable, and secure systems in line with business goals.
- Collaborate with stakeholders to translate requirements into technical solutions.
- Driving engineering initiatives to foster innovation, efficiency, and excellence.
Project Management:
- Oversee project timelines, deliverables, and quality assurance processes.
- Coordinate cross-functional teams to ensure seamless integration of systems.
- Identify risks and proactively implement mitigation strategies.
Technical Leadership:
- Lead and mentor a team of engineers, fostering a collaborative and high-performance culture.
- Provide technical direction and guidance on complex software engineering challenges.
- Drive code quality, best practices, and standards across the engineering team.
Requirements:
- 10-15 years in the tech industry, with 2-4 years in technical leadership or managerial roles.
- Technical Expertise: Expertise in C++ development, enterprise architecture, and scalable system design, and proficiency in performance optimization, scalability, software architecture, and networking principles.
- Extensive experience managing the full development lifecycle of large-scale software products, from concept to deployment.
- Strong knowledge of STL containers, multi-threading concepts, and algorithms.
- Solid understanding of memory management and efficient resource utilization.
- Microservices Architecture Expertise: Experience in designing and implementing scalable, reliable microservices.
- Strong Communication and Decision-making skills: Ability to clearly articulate trade-offs, make informed decisions, and ensure alignment across stakeholders.
- Commitment to Creating and fostering Engineering Excellence: Deep understanding of best practices, including code quality, testability, security, and release management, and passion for fostering a strong engineering culture and continuously improving developer workflows and tools.
- Self-Driven and Motivated: Ability to operate independently while driving impactful results.
Mandatory:
- The candidates should be from Capital Market domain
- The candidates should be from B.Tech background
Required Skills:
- 12–18 years in the tech industry, with 2–4 years in technical leadership or managerial roles.
- Technical Expertise: Expertise in C++ development, enterprise architecture, and scalable system design, and proficiency in performance optimization, scalability, software architecture, and networking principles. Extensive experience managing the full development lifecycle of large-scale software products, from concept to deployment.
- Strong knowledge of STL containers, multi-threading concepts, and algorithms. Solid understanding of memory management and efficient resource utilization.
- Microservices Architecture Expertise: Experience in designing and implementing scalable, reliable microservices.
- Strong Communication & Decision-Making Skills: Ability to clearly articulate trade-offs, make informed decisions, and ensure alignment across stakeholders.
- Commitment to Creating and fostering Engineering Excellence: Deep understanding of best practices, including code quality, testability, security, and release management, and passion for fostering a strong engineering culture and continuously improving developer workflows and tools.
- Self-Driven and Motivated: Ability to operate independently while driving impactful results.
Key responsibilities:
- Technical Expertise:
○ C++ coding and debugging to strengthen and optimize systems.
○ Design and architecture (HLD/LLD) to ensure scalable and robust solutions.
○ Implementing and enhancing DevOps, Agile, and CI/CD pipelines to
improve development workflows.
○ Managing escalations and ensuring high-quality customer outcomes.
- Architecture & Design:
○ Define and refine the architectural vision and technical roadmap for enterprise
software solutions.
○ Design scalable, maintainable, and secure systems in line with business goals.
○ Collaborate with stakeholders to translate requirements into technical
solutions.
○ Driving engineering initiatives to foster innovation, efficiency, and excellence.
- Project Management:
○ Oversee project timelines, deliverables, and quality assurance processes.
○ Coordinate cross-functional teams to ensure seamless integration of systems.
○ Identify risks and proactively implement mitigation strategies.
- Technical Leadership:
○ Lead and mentor a team of engineers, fostering a collaborative and high- performance culture.
○ Provide technical direction and guidance on complex software engineering challenges
○ Drive code quality, best practices, and standards across the engineering team.

About the company
The client is a quantitative investment firm focused on Indian financial markets. They operate a multi-strategy, multi-manager platform designed to generate consistent, risk- adjusted returns.
Their approach combines systematic investment methods, rigorous quantitative research and institutional-grade manager evaluation. We bring together research, technology and data to build scalable investment solutions.
Role Overview
We are seeking a Quantitative Developer with strong C++ and Python expertise to convert mathematical models and research prototypes into reliable, high-performance analytical engines.
You will work closely with Quantitative Research, Data Engineering, AI and Product Engineering teams throughout the full model lifecycle—from research handover and production implementation to validation, deployment and ongoing support.
This role is ideal for someone who enjoys working at the intersection of quantitative finance, numerical computing and production software engineering.
Key Responsibilities
Research Production
- Translate mathematical models and Python research prototypes into robust, production-quality C++.
- Develop reusable components for risk analytics, forecasting, portfolio analysis and simulation.
- Build efficient Python interfaces for C++ components using pybind11 or similar technologies.
- Ensure production implementations remain mathematically and numerically consistent with the underlying research.
- Establish clear and reproducible processes for transitioning models from research to production.
Engine Development and Validation
- Design and develop analytical engines capable of processing historical, batch and streaming data.
- Integrate calculation components with data pipelines, APIs, databases and downstream applications.
- Validate production implementations against research prototypes, benchmark datasets and expected results.
- Develop automated numerical, unit, integration, regression and performance tests.
- Identify and resolve numerical stability, precision and edge-case issues.
- Optimize calculation speed, memory usage, concurrency and scalability.
- Profile and benchmark critical components to meet defined performance requirements.
Deployment and Delivery
- Package analytical engines as libraries, services, APIs or containers.
- Support deployment across internal infrastructure and client-controlled environments.
- Configure engines for different datasets, workflows and institutional requirements.
- Assist with integration testing, production upgrades, issue diagnosis and technical troubleshooting.
- Implement appropriate logging, monitoring and error-handling capabilities.
- Document interfaces, assumptions, configurations, dependencies and deployment requirements.
Collaboration and Ownership
- Work closely with Quantitative Research, Data Engineering, AI and Product Engineering teams.
- Participate in technical design discussions, code reviews and quantitative model reviews.
- Communicate implementation trade-offs, constraints and risks clearly to technical and quantitative stakeholders.
- Take end-to-end ownership of assigned components, from research handover through production deployment and support.
- Contribute to engineering standards, reusable libraries and development best practices.
Required Qualifications
- Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, Statistics, Physics, Quantitative Finance or a related discipline.
- Strong professional programming experience in modern C++, including object- oriented and generic programming.
- Proficiency in Python and scientific-computing libraries such as NumPy, pandas or SciPy.
- Experience translating mathematical or analytical prototypes into production software.
- Strong understanding of algorithms, data structures, software architecture and design principles.
- Experience building automated unit, integration and performance tests.
- Familiarity with numerical methods, floating-point behaviour and numerical validation.
- Experience profiling and optimizing compute-intensive or data-intensive applications.
- Proficiency with Git and modern software-development practices.
- Strong analytical, debugging and problem-solving skills.
- •Ability to work effectively with both researchers and software engineers.
Preferred Qualifications
- Experience with pybind11, Boost.Python, Cython or similar interoperability technologies.
- Knowledge of quantitative finance, portfolio analytics, risk modelling, forecasting or simulation.
- Familiarity with time-series data and financial-market datasets.
- Experience developing applications that process batch or real-time streaming data.
- Exposure to concurrent, parallel or distributed computing.
- Experience with containerization and deployment technologies such as Docker.
- Familiarity with Linux environments, CI/CD pipelines and cloud or on-premises infrastructure.
- Experience building analytical libraries, calculation services or APIs for institutional users.
- Knowledge of Indian financial markets is advantageous
Job Title: C Developers
Company Name: Chella Software Private Limited
Company Website: https://www.chelsoft.com/
Company details
THE PARTNER OF CHOICE FOR FINANCIAL MARKETS
Our deep domain experience, ultra-high-performance software solutions, and on-time project delivery make us the preferred partner for the financial markets.
Over the last two decades, Chella Software has built deep domain experience in the financial markets and a capability for developing ultra-high-performance software that can handle very high volumes of data with the lowest levels of latency.
We are now preferred partners for a host of Central Banks, Stock Exchanges, Clearing Corporations, Brokerages, and Institutional Investors across 12 countries.
We are a global provider of fintech solutions for central banks, exchanges, central counter parties, and financial market intermediaries. We meet the software needs of customers in India, the Middle East, Africa, Singapore, and the USA.
Location: Mumbai
Mode of Working: Work from office: 2 rounds - virtual
Days of Working: 5 Days a week
Responsibilities
Job Description:
- Programming Languages: C Platform: Linux and Windows environment
- Comfortable with software development on Unix/Linux platforms • Strong debugging skills
- Ability to work independently and efficiently to meet deadlines. Self-motivated, detail-oriented and organized.
- Strong analytical skills to diagnose/resolve complex issues • Ability to multi-task and stay organized in a dynamic work environment.
- Ability to "think outside the box".
- Highly proficient programming skills [C family]
- Excellent algorithm-design skills
- Very good knowledge of database concepts and technology, in particular SQL and relational algebra, and query optimization
Roles & Responsibilities:
- Planning, estimation, and design usually done in a group
- Working closely with end-users (traders) to understand their requirements and needs
- Working closely with the other members of the MC team to identify and employ strategies and solutions to best support the trading desk
- Working closely with the rest of the SPG to identify and employ strategies and solutions to best support the needs of the MC team
- Providing support for the traders on trading and risk infrastructure issues
- Development and support of our trading, risk management, infrastructural and reporting applications
- Work with the Lead Technologists to develop and deliver solutions within a timely manner within the scope of the overall business strategy
- Assisting Application Support with root cause analysis of production incidents
Interview process
Interview Process
- Round 1: Virtual
- Round 2: Virtual
- Final Discussion: Face-to-face in Mumbai
Perks:
- Training period: 2 months at Madurai; the training cost, Stay, Travel, Food, etc., will be provided by the company
- Yearly 2 travel to your home town shall be sponcered by the company.
We are looking for an experienced Developer with experience in compiled languages and ready to work in Golang. You will be responsible for the Development of distributed services GUI and terminal application in Golang. Candidates should have strong understanding of Algorithms, Memory Management and Networking
Required Experience & Skills:
- C/C++/C#/Go/Rust.
- Networking, Database, Linux, Docker.
- Multiprocessing, Multithreading, Distributed computing, Thread synchronization techniques.
- Communication protocols, gRPC, MQTT, REST, Modbus, OPC...
- GUI Programming
- Testing, Debugging and performance optimization.
- REST APIs, MySQL, Redis
- Proficiency with Git for version control and collaborative development workflows.
Role: Software Developer
Employment Type: Full Time
Location: Gurugram, India
Educational Qualification: BE/BTech/ M.Tech / MS in Software Engineer
Work Experience: 6-8+ years of relevant work experience
Role Description:
Design and develop software for satellite systems, including onboard flight software and ground segment applications, ensuring reliability and real-time performance. Collaborate with hardware, AOCS, and mission teams to implement, test, and integrate software across the mission lifecycle. Support verification, validation, and in-orbit operations for robust and mission-critical performance.
Responsibilities & Duties:
- Design, develop, and maintain onboard flight software (FSW) and ground segment applications for satellite missions
- Develop real-time, embedded software for spacecraft subsystems (AOCS, EPS, payload, communication)
- Implement software in languages such as C/C++, Python, and embedded C for high-reliability systems
- Design software architecture, modules, and interfaces aligned with system requirements and mission objectives
- Develop drivers and low-level firmware for hardware interfaces (SPI, I2C, UART, CAN, SpaceWire, Ethernet)
- Work with real-time operating systems (RTOS) such as FreeRTOS or equivalent
- Implement communication protocols for telemetry, telecommand, and data handling
- Collaborate with hardware, AOCS, RF, and systems teams for seamless hardware-software integration
- Develop simulation tools, test scripts, and automation frameworks using Python or MATLAB
- Perform software verification and validation (V&V), including unit testing, integration testing, and system testing
- Develop and execute Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) test environments
- Perform code reviews, static analysis, and debugging to ensure reliability and performance
- Optimize software for real-time performance, memory usage, and fault tolerance
- Implement fault detection, isolation, and recovery mechanisms
- Support integration, system testing, and environmental testing (EMI/EMC, thermal vacuum, vibration)
- Develop and maintain technical documentation (design documents, interface control documents, test reports)
- Participate in design reviews (SRR, PDR, CDR, TRR) and technical discussions
- Support launch operations, commissioning, and in-orbit software updates and anomaly resolution
- Utilize version control and collaboration tools such as Git
- Work within structured development processes (Agile/Waterfall/Sprint) and configuration management systems
- Troubleshoot software and system-level issues and perform root cause analysis
Desirable Skills & Certifications:
- Strong proficiency in C/C++ and Python for embedded and system-level software development
- Experience with real-time operating systems such as FreeRTOS or equivalent RTOS platforms
- Familiarity with spacecraft communication protocols (UART, SPI, I2C, CAN, SpaceWire, Ethernet) and telemetry/telecommand systems
- Experience in Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and simulation-based verification
- Knowledge of space software standards and practices (ECSS, NASA, ISRO, MISRA C guidelines)
- Proficiency in version control and development workflows using Git and CI/CD practices
- Understanding of embedded systems, firmware development, and hardware-software integration
Position Title: Real-Time Computer Vision & Edge AI Engineer (Founding Engineering Team / Core LLD)
Reporting Structure: High-Level AI Architect (Principal ML Scientist, Google)
Domain: Sub-16ms Edge AI, 3D Pose & Shape Estimation (SMPL-X), TensorRT C++ Inference, Zero-Copy Systems
Performance Benchmark: Hard locked 60 FPS (<16.6 ms total frame budget) on dedicated RTX hardware
1. Position Overview & Architecture
We are building a proprietary, ultra-low-latency spatial computing platform centered on high-fidelity 100% 3D Digital Twin architecture and real-time human digitization.
In this role, you will serve as the Low-Level Design (LLD) Core AI Engineer, working directly alongside a Lead AI Scientist from Google. Your primary mandate is to solve complex surface occlusion and volumetric estimation challenges by building an ultra-fast C++ inference pipeline. This system must accurately regress a subject's true underlying 3D body shape and skeletal pose directly from a live camera feed. You will deploy models that extract parametric data (SMPL-X shape/pose parameters) and bridge these joint rotations seamlessly into our Vulkan graphics engine via shared GPU memory.
System Architecture:
● Hardware Camera Ingestion: (V4L2 / GStreamer / CUDA)
↓ Raw RGB Frames (Zero CPU Copy)
● Edge AI Inference: (TensorRT / ONNX C++ API for 3D Pose Tracking, Kinematic Anchoring, SMPL-X Shape)
↓ 3D Skeletal Transforms & Shape Parameters
● Zero-Copy Shared Memory: (CUDA-Vulkan Bridge feeding directly into OpenRigLogic / MetaHuman Engine)
2. Key Responsibilities & Deliverables
A. Real-Time 3D Pose & Shape Estimation
● Deploy and optimize state-of-the-art 3D human body reconstruction models (e.g., Shapy, SMPLify-X, CLIFF) to accurately regress the user's underlying skeletal structure and body volume, effectively bypassing unpredictable surface topologies and complex environmental occlusions.
● Extract mathematically stable shape parameters (β) and pose parameters (θ) to drive the skeletal hierarchy of a high-fidelity digital avatar.
B. Edge Inference Pipeline (TensorRT)
● Translate Python-based research models into production-grade C++ inference engines using NVIDIA TensorRT and ONNX Runtime.
● Implement INT8/FP16 quantization, layer fusion, and custom CUDA plugins to ensure the entire AI inference pass executes within a strict <10 ms budget per frame.
C. Temporal Smoothing & Anti-Jitter Kinematics
● Implement highly optimized temporal filters (Kalman filters, One-Euro filters, optical flow tracking) in native C++ to eliminate all high-frequency jitter from the output joint rotations before they reach the graphics engine.
● Ensure kinematic constraints (e.g., fixed bone lengths) are strictly maintained to prevent the digital asset from stretching or warping dynamically.
D. Zero-Copy Ingestion & Engine Synchronization
● Build hardware-accelerated video capture pipelines using V4L2 or GStreamer to ingest raw camera frames directly into GPU memory.
● Bridge the output coordinate data and transformation matrices to the graphics team using POSIX shared memory and CUDA-Vulkan interop (VK_KHR_external_memory_fd), eliminating CPU staging overhead.
3. Technical Qualifications & Tech Stack
● Core Programming: Production-level Modern C++ (C++17/20), Python (strictly for model training/validation), and CUDA C/C++.
● AI & Acceleration Frameworks: NVIDIA TensorRT, ONNX Runtime (C++ API), PyTorch.
● Computer Vision Libraries: OpenCV (CUDA backend), MediaPipe C++ bindings.
● Mathematical Foundations: 3D Kinematics, Matrix Transformations, Quaternions/Euler angles, statistical body modeling (SMPL/SMPL-X architecture).
● Systems Architecture: Low-latency memory management, multi-threading (std::jthread, lock-free queues), SIMD vectorization.
4. Relevant Projects & Demonstrable Experience (Preferred)
Candidates will be preferred if they present functional codebases, GitHub repositories, or thesis work covering:
● Real-Time Body Fitting / Pose Estimation: Practical experience deploying 3D human pose or shape reconstruction models on live video feeds.
● TensorRT / C++ Deployment: Demonstrable experience stripping a PyTorch model out of Python and running it natively in C++ using TensorRT or ONNX, ideally with custom CUDA layers or INT8 calibration.
● High-Throughput Vision Pipelines: Built a C++ video processing pipeline that aggressively minimizes latency and avoids memory garbage collection pauses.
● Kinematics & Smoothing: Applied mathematical filters to raw sensor or AI data to produce smooth, mechanically accurate 3D rotations.
5. Compensation & Engagement Structure
● Compensation: ₹1,50,000 to ₹2,00,000/month
● Mentorship: Direct architectural guidance, algorithm review, and technical leadership from a Principal ML Scientist at Google.
● Hardware: Dedicated high-end workstation equipped with discrete NVIDIA RTX hardware.





