Domain: Aerospace and defence, multi-sensor data fusion
Openings
Nice to have
• Experience with airborne or defence sensor data: radar, IRST or EO/IR.
• Monte Carlo simulation and performance evaluation (RMSE, OSPA, NEES/NIS).
• Experience in navigation (GPS/INS), ADAS sensor fusion or surveillance systems.
• C/C++ experience, for easier handover to embedded implementation.
• Published papers or a thesis in tracking, estimation, signal processing or computer vision.
Full description
Do you love a career where you Experience, Grow & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you.
Learn how we are redefining the meaning of work , and be a part of the team raved by Clients, Job-seekers and Employees.
Jobseeker Video Testimonials
Employee Glassdoor ReviewsIf you are a Algorithm Developer, MATLAB looking for excitement, challenge and stability in your work, then you would be glad to come across this page.We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long-term project. Here are a few details.Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive Talent Solution.Role: Algorithm Developer
**Location: BANGALORE Experience: 3-8 Years Employment Type: Full time Notice Period:0-30 days(If you have negotiable notice period or buyout option please apply)**
Requirements
Job Opening: Algorithm Developer / Engineer
Domain: Aerospace and defence, multi-sensor data fusion
Candidates strong in both MATLAB and Python are preferred for every profile.
Common details
Location: Bangalore, full-time at the client
site. Remote or hybrid work is not possible.
Work environment: Closed network with no
internet access. You must derive equations and write code from your own knowledge.
Before joining: Police verification and
background check are mandatory.
Role summary
Design, develop and validate data fusion, tracking and recognition algorithms. Prototype them in MATLAB or Python, measure their performance, and hand the benchmarked algorithms to the software team for embedded implementation.
Key responsibilities
Convert mathematical equations and algorithm
descriptions into working code.
Design and implement fusion, tracking or recognition
algorithms.
Build sensor models from interface specifications.
Build simulations and generate test data to check the
algorithms.
Measure performance with numbers: accuracy, track
continuity, false track rate and latency.
Benchmark candidate algorithms and recommend the best
performer.
Define test cases and carry out standalone algorithm
testing.
Write clear, commented code and document the equations,
design and results.
Present designs at formal design reviews and close the
action points raised.
Support the software team when the algorithm is
converted to C/C++.
Qualification
B.E./B.Tech in ECE, EEE, CSE or Aerospace, or M.Sc in
Mathematics or Physics. M.E./M.Tech is preferred.
Minimum 3 years of hands-on algorithm development in
MATLAB or Python.
Must-have skills for every candidate
**AreaWhat you must be able to doMATLAB programming (MATLAB profile)**
Scripts and functions, matrix indexing, vectorised code, structures and cell arrays, plotting, file handling and debugging. Write algorithms with core MATLAB functions, without depending on toolboxes
**Python programming (Python profile)**
Data types, functions, classes, lists and dictionaries, file and exception handling, and debugging. NumPy arrays, slicing and broadcasting, SciPy linear algebra and Matplotlib
Matrix mathematics
Multiplication, transpose, inverse, determinant and rank. Eigenvalues and eigenvectors. Solving linear equations. Positive-definite matrices. Cholesky, QR and SVD decompositions
**Probability and statistics**
Random variables, mean, variance, covariance and correlation. Gaussian distribution. Bayes rule. Generating and analysing noise
Estimation theory
Least squares, and the Kalman filter family (KF, EKF, UKF): predict step, update step, process noise and measurement noise
Coordinate frames
Polar, spherical and Cartesian conversion. NED and ECEF frames. 2D and 3D rotation matrices
Numerical methods
Interpolation, numerical integration and differentiation, root finding, and awareness of precision errors
Equations to code
Read a derivation, implement it correctly, and check the output against a hand calculation
C basics
Data types, loops, functions, arrays, pointers and structures. Read and write simple C programs
Working independently
Write code without internet search or AI tools, recalling common library functions and syntax from memory
Algorithm areas
Candidates must have hands-on experience in one or more of these areas. Experience in several is an advantage.
**AreaAlgorithms and skillsState estimation and tracking**
Task scheduling, rule-based priority logic, optimisation, information-gain based sensor tasking
**Target detection and recognition (Python required)**
OpenCV, PyTorch or TensorFlow, CNN and transformer-based object detectors, IR and EO image processing, video object tracking, dataset preparation and augmentation, model export to ONNX
**Networked and multi-platform fusion**
Triangulation, passive ranging, bearings-only tracking, geolocation, ambiguity resolution, time alignment of data from different platforms
Additional requirements for the Lead Algorithm Engineer
The lead is the single technical lead for the full project team and the point of contact with the client.
5 to 6 years of algorithm development experience.
Hands-on radar tracking experience covering the full
track life cycle: initiation, confirmation, maintenance and deletion.
Working knowledge of data association, Kalman and
multiple-model filters, and multi-sensor fusion.
Strong in both MATLAB and Python, able to review the
code and mathematics of other engineers.
Experience guiding a team, planning tasks, tracking
progress and reporting to a client.
Able to present and defend technical designs at formal
reviews.
Tech stack
Languages: MATLAB/Simulink or Python, and basic
C/C++.
MATLAB toolboxes: Sensor Fusion and Tracking,
Statistics and Machine Learning, Signal Processing, Optimization, Computer Vision.
Python libraries: NumPy, SciPy, FilterPy, Stone
Soup, Pandas, Matplotlib, OpenCV, PyTorch, ONNX.
Version control: Git.
Documentation: MS Word, Visio or draw.io.
Good to have
Experience with airborne or defence sensor data: radar,
IRST or EO/IR.
Monte Carlo simulation and performance evaluation
(RMSE, OSPA, NEES/NIS).
Experience in navigation (GPS/INS), ADAS sensor fusion
or surveillance systems.
C/C++ experience, for easier handover to embedded
implementation.
Published papers or a thesis in tracking, estimation,
signal processing or computer vision.
Benefits
Visit us at . Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.