Role Overview:
We are seeking a skilled Data Scientist to join our cutting-edge research team working on EEG and EMG signal analysis. This role offers the unique opportunity to implement state-of-the-art algorithms from research papers, develop deep learning models for neural signal processing, and contribute to groundbreaking neuroscience research.

What makes this role exciting: You'll work with advanced signal processing techniques, implement algorithms from the latest research papers, and develop Machine Learning/Deep Learning models for neural recordings. Your work will directly contribute to published research and conference presentations

Key Responsibilities

• Algorithm Implementation: Implement advanced signal processing algorithms from research papers, including spatial filtering techniques, time-frequency analysis methods, and other cutting-edge approaches

• Data Preprocessing & Cleaning: Handle complex EEG/EMG datasets, perform signal filtering, artefact removal, and data preparation for analysis

• Model Development: Build and train machine learning and deep learning networks for neural signal classification

• Model Training & Optimization: Conduct hyperparameter tuning, cross-validation, and model optimization for various machine learning approaches

• Performance Evaluation: Implement metrics, validation frameworks and statistical analysis to evaluate model performance

• Documentation: Maintain comprehensive documentation of methods, results, and experimental procedures

• MLOps Implementation: Adopt best practices of MLOps for model training, evaluation and inference capabilities.

• Feature Engineering: Extract and analyze statistical features from EMG signals including spectral analysis, entropy measures, and channel dominance

Required Qualifications

• Experience: 2-3 years minimum in data science, machine learning, or signal processing roles

• Programming Skills: Proficiency in Python and optionally in MATLAB

• Deep Learning: Hands-on experience with TensorFlow, PyTorch, Keras frameworks or at least a strong experience with scikit-learn.

• Machine Learning: Strong foundation in supervised learning, particularly SVM and neural networks

• Time Series Analysis: Demonstrated experience working with time series data and signal processing techniques

• Implementation Skills: Excellent ability to translate research papers into working code implementations

Technical Stack

Python, MATLAB, TensorFlow, PyTorch, SVM ,CNN-LSTM

Preferred Qualifications

• Time series analysis experience in any domain (finance, IoT, sensor data is also acceptable)

• Strong mathematical background in signal processing or machine learning theory

• Experience scaling ML models with large datasets

• Knowledge of statistical feature extraction and spectral analysis

Personal Traits We Value

• Complete Ownership: Take full responsibility for your work, owning both successes and failures with accountability

• Collaborative Spirit: Genuine desire to help colleagues and contribute to the organization's success

• Data Enthusiasts: Someone who genuinely enjoys exploring data and finds satisfaction in uncovering insights

• Research Mindset: Curiosity to explore independent research directions and contribute to scientific knowledge

Growth & Development

This is a permanent position with exceptional growth opportunities

• Leadership Development: We mentor and encourage leadership qualities in every role we hire

• Industry Partnerships: Work with leading neuroscience labs and premier medical institutions to drive real-world impact

• Research Publications: Active involvement in publishing basic and applied neuroscience papers

• Conference Presentations: Opportunities to present research findings at scientific conferences

• Mentorship Opportunities: Future prospects to mentor interns and junior team members

• Independent Research: Encouraged and supported to pursue your own research interests
  You'll receive close mentorship on research methods while having the autonomy to implement and optimize solutions independently.

Job Location: Bengaluru
Apply here: Link

Responsibilities:

• Responsible for the design, development, and support of new and existing hardware products.

• Manage the design process from conceptual design, parts selection, design simulation, detailed design, and schematic capture, to PCB design rules creation.

• Coordinate with layout teams to ensure adherence to guidelines during PCB design and manufacturing.

• Lead prototype builds with contract manufacturers and manages product bring-up, debugging, and verification.

• Testing and Support

2. • Execute test protocols, document results, and provide feedback for improvement of existing products.

   • Support environmental testing and entry into production phases for hardware systems.

   • Provide on-site support for customer-related activities, including demos, training, installation, and troubleshooting field issues.

   • Cross-Department Collaboration

   • Collaborate with software, mechanical, and other departments as part of daily board design practices to maintain inter-departmental communication.

   • Work closely with the design and layout teams to support board layout, system bring-up, and verification.

   • Involved in customer-facing activities such as demos, installation, and field issue resolution.

   • Continuous Innovation

   • Be an integral part of the Hardware Design Team, driving new ideas for product development and offering feedback to improve existing systems.

Requirements:

1.Technical Expertise

• Proven experience in designing ultra-low-noise analog front-ends and precision analog circuits.

• Deep knowledge of mixed-signal system design, including both analog and digital subsystems.

• Strong understanding of electronic hardware, circuit theory, and electronic components such as MOSFETs, transistors, ADCs, DACs, filters, and feedback systems.

• Experience in power electronics, including power supply architecture design and regulation.

• Expertise in analog and digital circuit design, including microcontrollers and communication protocols like UART, SPI, I2C, I2S, CAN bus, RS232, Ethernet etc.

• Proficiency in PCB design tools (e.g., Altium) and high-speed schematic capture.

• Skilled in circuit simulation and modeling tools, including LTspice, TINA, MATLAB/Simulink, and PSpice.

• Hands-on experience with lab equipment such as multimeters, oscilloscopes, spectrum analyzers, power supplies, and protocol analyzers.

• Solid grasp of sensor interfaces, signal conditioning, and analog-to-digital conversion (ADC) techniques.

• Ability to read and interpret schematics, wiring diagrams, datasheets, and technical documentation.

2. Design and Testing Knowledge

• Experience with design-for-manufacturing (DFM) and design-for-testability (DFT) best practices.

• Skilled in signal quality verification (SNR, THD, CMRR) and data fidelity validation using precision instruments.

• Knowledge of EMC/EMI design practices, compliance testing, and certification standards such as IEC 60601-1 and medical-grade safety.

• Familiarity with product certification processes and working with EMC/Safety labs for regulatory readiness.

• Prior experience in environmental qualification, stress testing, and failure analysis (HALT/HASS is a plus).

• Ability to troubleshoot embedded systems, analyze test failures, and support documentation of layout/test procedures.

3. Communication and Collaboration

• Strong written and verbal communication skills with the ability to clearly convey design ideas and technical concepts.

• Effective collaboration with cross-functional teams (software, mechanical, layout engineers).

• Ability to work independently on complex hardware design tasks with minimal supervision.

Additional Skills:

• Knowledge of C programming is a plus.

• Experience with analog/digital video interfaces is an advantage.

• Prior work on wearable or portable electronics, particularly in human-interface systems like BCI (Brain-Computer Interfaces), is highly desirable.

Job Location: Bengaluru
Apply here: Link

Role Overview

As a Principal Software Engineer, you will be responsible for architecting, implementing, and optimizing core system components in C++ that run on our edge devices and host platforms. You will own the end-to-end software design—from real-time signal acquisition to API-level abstractions—and ensure Nexstem’s platform is performant, reliable, and scalable.You will also be expected to provide technical leadership, mentor engineers, and work cross-functionally with hardware, firmware, and AI/algorithm teams.

Key Responsibilities

1. System Architecture & Design

   • Architect modular, extensible software frameworks for BCI hardware and companion applications.

   • Define system-level interfaces between hardware, firmware, signal-processing, and APIs.

   • Make critical design trade-offs balancing performance, scalability, and maintainability.

2. Core Development

   • Develop high-performance C++ software (C++14/17/20) with a focus on low-latency, multi-threaded, and memory-efficient applications.

   • Implement hardware drivers, communication protocols, and real-time signal acquisition pipelines.

   • Build abstractions and libraries that expose Nexstem’s hardware capabilities to higher-level SDKs and APIs.

   • Be strong in core Computer Science fundamentals and architecture.

3. Hardware-Software Integration

   • Collaborate with hardware engineers on device drivers, data acquisition interfaces, and embedded systems.

   • Optimize performance on embedded processors, FPGAs, Linux-based systems, and edge computing devices.

4. Performance & Reliability

   • Profile and optimize system performance across CPU/GPU/accelerator architectures.

   • Implement reliability, fault-tolerance, and recovery mechanisms for production-grade deployments.

5. Mentorship & Leadership

   • Set coding standards, best practices, and CI/CD workflows for the engineering team.

   • Mentor junior and mid-level engineers in C++, software design, and system thinking.

6. Innovation & Research Alignment

   • Stay up-to-date with advances in real-time computing, compilers, and systems programming.

   • Collaborate with algorithm and AI researchers to translate signal-processing pipelines into efficient runtime implementations.

Requirements
Education

• Master’s degree in Computer Science & Engineering or a related field.

• (Bachelor’s with an exceptional track record may be considered).

Experience

• 5+ years of professional experience in C++ system-level development.

• Proven track record in designing and delivering complex, production-grade software systems.

Technical Skills

• Expert-level C++ (C++14/17/20): STL, templates, modern design patterns.

• Strong knowledge of multi-threading, concurrency, synchronization, and memory management.

• Experience writing low-level code: device drivers, firmware interfaces, or embedded Linux/RTOS.

• Deep understanding and experience in Linux Kernel development and low-level operating system concepts.

• Familiarity with hardware communication protocols (USB, BLE, Wi-Fi, nRF, SPI, I2C, etc.).

• Experience in performance optimization, debugging tools (gdb, valgrind, perf), and profiling.

• Exposure to real-time systems, signal acquisition, or streaming data pipelines.

Bonus Skills (Good to Have)

• GPU programming (CUDA, OpenCL, Vulkan compute).

• Experience integrating C++ with Python or Rust in hybrid pipelines.

• Prior work in neurotech, robotics, IoT, or other real-time hardware-adjacent domains.

• Familiarity with numerical methods, DSP, or machine learning integration.

Soft Skills

• Strong systems thinking: can see the big picture and design for scalability.

• Exceptional problem-solving skills under performance/latency constraints.

• Ability to work cross-functionally with hardware, AI, and product teams.

• Clear communicator who can mentor, document, and lead by example.

Compensation & Benefits

• Competitive compensation with growth opportunities.

• Opportunity to define and shape the core software architecture for a cutting-edge neurotech platform.

• Work alongside an elite team at the intersection of hardware, neuroscience, and AI.

• Flat hierarchy, ownership-driven culture, and the freedom to experiment and innovate.

Apply: Link