C++Developer(Computational geometry)

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.

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.

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.

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: Computer Vision Engineer

Experience: 2–3 Years

Location: Bengaluru, Karnataka

Employment Type: Full-time

About the Role

We are seeking a highly motivated Computer Vision Engineer to join our autonomy and avionics team. The role involves developing, implementing, and validating computer vision models and algorithms and pipelines for UAVs operating in both GNSS-available and GNSS-denied environments.

The ideal candidate should have a strong foundation in theory of deep learning and machine learning, strong understanding of electromagnetic spectrum, imaging fundamentals, camera principles, and mathematical concepts with hands-on experience in implementing these algorithms on embedded or real-time systems.

Key Responsibilities

• Design, develop, and optimise AI Models
• Make custom CNNs/ modify existing CNNs to suit specific problems at hand
• Handle end-to-end training flow
• Implement end to end inference pipelines on standard PCs as well as on embedded systems
• Understand performance benchmarks and assess the accuracy and inference times
• Implement traditional image processing algorithms
• Factor the code to leverage underlying hardware architecture
• Prune the networks for efficiency
• Integrate the system within the application framework using C++
• Work closely with perception, controls, embedded software, and systems engineering teams.

Required Qualifications

• B.E./B.Tech/M.E./M.Tech in Computer Science and Engineering, Electronics, ECE, Mechatronics, or a related discipline.
• 2–3 years of experience in relevant area
• Strong understanding of: Linear Algebra, Probability and Statistics, AI-ML-DL fundamentals, Image processing, Camera Functioning
• Strong programming skills in C++ and Python.
• Experience with MATLAB for algorithm development and validation.
• Familiarity with Linux development environments.
• Experience with Git version control.

Preferred Skills

• Experience with Camera, IMU Calibration and Synchronisation
• Experience with multi-sensor fusion.
• Experience working with NVIDIA devices
• Experience on FPGA will be an added advantage
• Full understanding of Git functionality
• Exposure to airborne software development processes and coding standards (e.g., MISRA C++).

Personal Attributes

• Strong analytical and problem-solving skills.
• Ability to work independently on challenging technical problems.
• Good communication and documentation skills.
• Passion for solving challenging problems
• Willingness to participate in field trials and flight testing.
• Team player

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.