signal processing engineer

Arcfield

<div>Responsibilities:
<p><b>
Who We Are</b></p><p>
Orion Space Solutions (Orion) was born out of the vision for applying fundamental space physics knowledge to address real-world problems. Founded in 2005, and based in Louisville, Colorado, Orion is a leader in the &ldquo;New Space&rdquo; small satellite industry. We leverage our scientific and engineering expertise to develop unique solutions to address complex space physics challenges, including instrumentation, modeling capabilities, and data analytics; Orion turns science into data, data into knowledge. We are scientists, researchers, engineers and businesspeople dedicated to solving global problems that affect how people live, work and play on our planet and in space through applied science backed by empirical knowledge. If you want to be part of a highly collaborative team, work in an amazing environment surrounded by the best and the brightest, solving BIG problems for our planet, read on.</p><br>
<p></p><ul><li>
Drive the implementation of signal processing for spaceborne GNSS remote sensing applications, including GNSS radio occultation and reflectometry.</li><li>
Work with software engineers and test engineers to prepare operational and pre-operational software for use in ground testing and on-orbit operation.</li><li>
Serve as a conduit between mission management, instrument specialists, and engineers on GNSS processing system.</li><li>
Lead algorithm research, development, and optimization for advanced GNSS signal acquisition and tracking techniques specifically tailored for space applications.</li><li>
Design and implement error correction and quality control systems for GNSS-derived atmospheric profiles and surface reflection measurements.</li><li>
Collaborate with science teams to define processing requirements and develop calibration approaches for new GNSS-based remote sensing techniques.</li><li>
Design and conduct simulations to validate algorithm performance across various orbital scenarios and signal environments.</li><li>
Develop and maintain technical documentation for GNSS signal processing algorithms, including mathematical derivations and implementation details.</li><li>
Participate in mission planning activities to ensure GNSS instrument requirements are properly defined and addressed.</li><li>
Analyze on-orbit GNSS receiver performance data to identify anomalies and recommend payload operations adjustments.</li><li>
Support proposal development for new GNSS-based Earth observation missions and instrumentation.</li><li>
Implement processing techniques that maximize scientific return from multi-GNSS constellation observations (GPS, Galileo, GLONASS, BeiDou).</li></ul>
Qualifications:
<ul><li>Degree in electrical engineering, aerospace engineering, applied mathematics, atmospheric science, or related discipline</li><li>
BS and 5-7 years experience, MS and 3-5 years experience or PhD with 0-2 years experience</li><li>
General expertise in signal processing techniques and their real-world application</li><li>
Hands-on experience with implementing and testing tracking of GPS and other GNSS signals, especially open loop tracking for GNSS radio occultation</li><li>
Hands-on experience with writing software for GNSS software-defined radio</li><li>
Proficiency in Python and C++</li><li>
Adherence to modern software development practices</li><li>
Excellent communication skills in technical reports and presentations</li><li>
Preferred<ul><li>
Deep knowledge of the signal properties of GPS, Galileo, BeiDou, and GLONASS</li><li>
Experience with calibration of GNSS radio occultation and reflectometry data products</li><li>
Understanding of GNSS receiver hardware</li></ul></li></ul>
Equal Pay Act: This is the projected compensation range for this position. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, Arcfield invests in its employees beyond just compensation. Arcfield &rsquo;s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long-Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections. Min: $80,144.69 Max: $192,586.48 EEO Statement:
<div>
</div><p>We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.</p></div>

Senior GNSS and DSP Specialist

Blue Origin

<div><div>Application close date:</div>
Applications will be accepted on an ongoing basis until the requisition is closed.<div></div><div>
At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We&rsquo;re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!</div><div></div>
This role is part of the Lunar Permanence business unit, which develops Blue Origin&rsquo;s Blue Moon landers and related products. To further Blue Origin's mission of millions of people living and working in space for the benefit of Earth, we are building sustainable infrastructure for our transport of crew and cargo from Earth to the lunar surface.<div></div><div>
You will work closely with the guidance, navigation, and control (GN&amp;C) team to seamlessly integrate these components with the rest of the GN&amp;C subsystem. This role is deeply interdisciplinary and requires coordination among a group of internal stakeholders, adjacent integrated product teams, and suppliers. Your contributions will enable flight of state-of-the-art aerospace vehicles and missions. Passion for our mission and vision is required!</div><div></div><div>
What you will do:</div><ul><li>
Design and simulation of end-to-end systems to meet required performance specification such as range and signal-to-noise ratio</li><li>
Design and validate signal processing algorithm for applications of detection, tracking, RF calibration, parameter estimation.</li><li>
Support Matlab/Simulink Code generation for signal processing and filtering</li><li>
Analysis of algorithmic computational complexity and hardware resource needs (FPGA fabric, memory/IO bandwidth, etc.).</li><li>
Signal-to-Noise/Clutter Ratio, Signal Sensitivity, RF nonlinearity calibration</li><li>
Work with hardware engineers to drive device selection : FPGA, ADC/DAC, DDR3/4, NOR flash, etc.</li><li>
Support HW bring-up and work alongside EE engineers to support design verification</li><li>
RTL logic implementation and FPGA prototyping</li></ul><div></div><div>
What you need to have:</div><ul><li>
B.S. in Electrical Engineering or a related field with 5+ years of DSP experiences</li><li>
Experience in developing and implementing DSP algorithm on FPGA and/or embedded processor</li><li>
Experience in simulating an end-to-end system to meet required performance specifications, such as link budget.</li><li>
Proficient with Matlab/Simulink, or equivalent modeling environment</li><li>
Experience in designing, choosing, and optimizing DSP algorithms for radar or other relevant sensors</li><li>
Proficient with IEEE 802.3, XAUI, PCIe, JESD204B/C, I2C, SPI interfaces</li><li>
Proficient in writing RTL using Verilog/SystemVerilog/VHDL (SystemVerilog desired).</li><li>
Strong understanding of FPGA design concepts, CDC, constraint definition, STA, and timing closure.</li><li>
Proficient with FPGA development tools such as Xilinx Vivado, Intel Quartus.</li><li>
Proficient with ModelSim/QuestaSim or equivalent simulators.</li><li>
Experience in writing testbenches utilizing techniques such as UVM/OVM, SV Assertion, and/or functional/code coverage analysis.</li></ul><div></div><div>
Nice-to-haves:</div><ul><li>
PhD or master&rsquo;s degree in electrical engineering, mathematics, signal processing or a related field</li><li>
Experience in FMCW or CW Radar/LiDAR signal processing</li><li>
Proficient with scripting languages like Perl, Python, or Tcl is a plus</li><li>
Experience with common on-chip bus protocols such as AMBA (AXI, AHB, APB), PCIe, JESD204B/C, I2C, (Q)SPI, etc.</li><li>
Experience with RF sensors.</li><li>
Experience with space applications and radiation environment.</li></ul><div></div><div><br>
Compensation Range for:</div>
CO applicants is $119,814.00 - $167,738.55
WA applicants is $130,706.00 - $182,987.70<div></div><div>
Other site ranges may differ</div><div></div><div>
Culture Statement</div><div>
Don&rsquo;t meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.</div><div></div><div>
Export Control Regulations</div><div>
Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.</div><div></div><div>
Background Check</div><ul><li><div>
Required for all positions: Blue&rsquo;s Standard Background Check</div></li><li><div>
Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation</div></li><li><div>
Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.</div></li><li><div>
Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical</div></li></ul><div></div><div>
Benefits</div><ul><li><div>
Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.</div></li><li><div>
Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.</div></li><li><div>
Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details.</div></li></ul><div></div><div>
Equal Employment Opportunity</div><div>
Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws.</div><div></div><div>
Affirmative Action and Disability Accommodation</div><div>
Applicants wishing to receive information on Blue Origin&rsquo;s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at <div>EEOCompliance@blueorigin.com</div>. Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.</div><div></div><div>
California Applicant Privacy Notice</div><div>
If you are a California resident, please reference the CA Applicant Privacy Notice <div>here</div>.</div></div>

Radio FPGA Engineer III - Lunar Permanence

Linvex Solutions

<p>Company: Linvex</p><p>Location: Bahria Town, Lahore (On-Site)</p><p>Employment Type: Full-Time</p><p>Apply at: LinvexAi@gmail.com</p><p>⸻</p><p>Role Overview</p><p>We are seeking a Senior Machine Learning Engineer with strong backend expertise to lead the development of intelligent edge-to-cloud AI systems powering VeluraSense.</p><p>⸻</p><p>Key Responsibilities</p><ul><li>Design and develop ML models for:</li></ul><ul><li>Fall detection</li></ul><ul><li>Activity recognition</li></ul><ul><li>Respiratory and heart rate estimation</li></ul><ul><li>Anomaly detection in time-series health signals</li></ul><ul><li>Process and analyze Wi-Fi CSI and mmWave radar signal data</li></ul><ul><li>Build real-time inference pipelines on edge devices</li></ul><ul><li>Architect and maintain scalable cloud-based ML systems</li></ul><ul><li>Develop backend APIs for health insights and alert systems</li></ul><ul><li>Optimize models for latency, efficiency, and deployment constraints</li></ul><ul><li>Implement model monitoring, validation, and drift detection</li></ul><ul><li>Collaborate with hardware and embedded teams</li></ul><ul><li>Ensure privacy-by-design architecture and secure data handling</li></ul><p>⸻</p><p>Required Experience (4+ Years)</p><p>Machine Learning &amp; Signal Processing</p><ul><li>Strong experience in Python</li></ul><ul><li>Deep understanding of time-series analysis and signal processing</li></ul><ul><li>Experience with PyTorch, TensorFlow, or similar frameworks</li></ul><ul><li>Experience deploying models into production</li></ul><ul><li>Experience with anomaly detection systems</li></ul><p>Backend &amp; Systems</p><ul><li>Strong experience building REST APIs (FastAPI, Django, or similar)</li></ul><ul><li>Experience designing scalable microservices</li></ul><ul><li>Experience with PostgreSQL or other relational databases</li></ul><ul><li>Experience with Docker and production deployments</li></ul><ul><li>Familiarity with cloud platforms (AWS, GCP, or Azure)</li></ul><p>⸻</p><p>Preferred Qualifications</p><ul><li>Experience with edge AI deployment</li></ul><ul><li>Knowledge of radar signal processing or RF-based sensing</li></ul><ul><li>Experience with real-time systems</li></ul><ul><li>Familiarity with IoT architectures</li></ul><ul><li>Experience working in regulated domains (health-tech, medical devices)</li></ul><ul><li>Understanding of data privacy and compliance standards</li></ul><p>⸻</p><p>Ideal Candidate</p><ul><li>Comfortable owning architecture decisions</li></ul><ul><li>Strong problem-solving and research mindset</li></ul><ul><li>Able to move from research prototype to production system</li></ul><ul><li>Interested in building privacy-first, life-impacting AI systems</li></ul><ul><li>Experience mentoring junior engineers is a plus</li></ul><p>⸻</p><p>How to Apply</p><p>Send your CV and GitHub or portfolio to:</p><p>LinvexAi@gmail.com</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

Senior Machine Learning Engineer (Edge AI & Backend Systems)

CoreEl Technologies

<div><div><h4 class="jobSectionHeader"><b>Job Overview:</b></h4>
<p>
The FPGA Technical Lead is responsible for driving the complete FPGA design lifecycle &mdash; from architecture definition to on-board validation &mdash; for complex digital and wireless communication systems. This role demands both strong technical expertise and leadership capability to guide engineers, ensure design excellence, and deliver mission-critical FPGA-based solutions on schedule and within quality standards.</p>
<p>
Key Responsibilities</p>
<div>
<ul><li>Technical Leadership</li></ul>
</div><ul><li>Own the FPGA design architecture and implementation for assigned subsystems or projects.</li>
<li>Translate high-level system requirements and signal processing algorithms into efficient FPGA architectures.</li>
<li>Lead design partitioning between FPGA fabric, embedded ARM cores (for SoCs), and external components.</li>
<li>Review and optimize RTL code for timing closure, power, and resource utilization.</li>
<li>Guide the team in synthesis, P&amp;R, STA, and bitstream generation for Xilinx/AMD platforms.</li>
<li>Lead root cause analysis for FPGA/hardware integration issues.</li>
</ul><div><ul><li>Design &amp; Development</li></ul>
</div><ul><li>Develop RTL (VHDL/Verilog) modules for signal processing, control, and high-speed data interfaces.</li>
<li>Implement and verify digital signal processing modules such as filters, modulators, encoders, and error correction blocks (LDPC, Turbo, etc.).</li>
<li>Define and maintain FPGA design documentation &mdash; architecture specs, interface definitions, implementation reports, and timing analysis records.</li>
<li>Integrate FPGA logic with embedded ARM software for SoC-based systems (e.g., Zynq/Zynq UltraScale+).</li>
</ul><div><ul><li>Verification &amp; Validation</li></ul>
</div><ul><li>Develop and review simulation testbenches using ModelSim or XSIM.</li>
<li>Drive functional verification, coverage, and regression test planning.</li>
<li>Support hardware bring-up, integration testing, and validation using real-time signals and tactical radio platforms.</li>
</ul><div><ul><li>Process &amp; Quality</li></ul>
</div><ul><li>Ensure adherence to ISO 9001:2015 and internal FPGA design development processes.</li>
<li>Conduct design reviews &mdash; input, output, verification, and change reviews &mdash; with documented MoMs.</li>
<li>Collaborate with cross-functional teams (System, Firmware, Hardware, QA) to ensure seamless product integration.</li>
</ul><div><ul><li>Mentorship &amp; Team Building</li></ul>
</div><ul><li>Mentor junior engineers in RTL design, FPGA methodologies, and debugging practices.</li>
<li>Provide technical guidance during code reviews, synthesis, and timing closure.</li>
<li>Encourage continuous learning, reusability, and innovation in FPGA workflows.</li></ul><br>
<p></p>
<p>
Professional Skills:</p>
<ul>
<li>RTL design in VHDL/Verilog</li>
<li>Xilinx tools for synthesis and implementation</li>
<li>Thorough understanding of Xilinx FPGA&rsquo;s</li>
<li>Simulation and verification using ModelSim/XSIM</li>
<li>Synthesis, place-and-route, static timing analysis, and constraint management</li>
<li>Hands on with Zynq SoC or Zynq UltraScale+ platforms preferred</li>
<li>Familiarity with scripting (Tcl/Python/Shell) for simulation &amp; compilation automation</li>
<li>Hardware Design: Logic Design &amp; Debugging expertise</li>
<li>Good to have implemented DSP algorithms in FPGA environment for Radar, wireless communication</li>
<li>Good to have modelled the algorithms in Octave/MATLAB, generated test vectors, visualized data.</li>
<li>Working knowledge on interfacing with ADCs and DACs and interpreting their performance.</li>
<li>Configuration/Version control tools like SVN</li>
</ul>
<p>Desired Attributes/ Softskills</p>
<ul>
<li>Strong analytical and debugging skills at both RTL and board levels.</li>
<li>Ability to architect modular and reusable FPGA designs.</li>
<li>Effective communicator with a collaborative mindset across hardware, software, and system teams.</li>
<li>Ownership-driven attitude with a focus on delivery excellence, decision making and design integrity.</li>
<li>Enthusiastic mentor fostering technical growth within the team.</li></ul></div></div><p></p>

Technical Lead – FPGA/RTL Design

smarthyre

<div>
 <ul>
  <li>
   <strong>
    About the Role
   </strong>
  </li>
 </ul>
 <p>
  We are seeking Data Scientists with strong foundations in signal processing, sensor fusion, and AI/ML modeling for real-world hardware-integrated environments. The ideal candidate will collaborate closely with quantum hardware and drone engineering teams to analyze, model, and fuse magnetometer, IMU, and UAV telemetry data for precision navigation and anomaly detection. You will design and implement data pipelines, fusion models, and inference architectures that translate complex multi-sensor datasets into actionable insights and control strategies.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You'll Do
  </strong>
 </p>
 <p>
  <strong>
   Sensor Intelligence &amp; Data Fusion
  </strong>
 </p>
 <ul>
  <li>
   Build scalable data ingestion, preprocessing, and cleaning pipelines for magnetometer, IMU, and UAV telemetry data.
  </li>
  <li>
   Develop and train physics-informed ML models for trajectory estimation, drift correction, and anomaly detection.
  </li>
  <li>
   Implement Kalman/Particle filters and deep sensor fusion frameworks (LSTM, Transformer, or Graph-based).
  </li>
  <li>
   Fuse magnetic, inertial, and positional data to achieve robust localization under GPS- denied conditions.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Geospatial Analytics &amp; Visualization
  </strong>
 </p>
 <ul>
  <li>
   Generate magnetic anomaly maps and heatmaps from airborne and terrestrial survey data.
  </li>
  <li>
   Apply statistical analysis, clustering, and signal denoising to extract spatial patterns.
  </li>
  <li>
   Build internal visual dashboards for real-time data interpretation and mission replay.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Collaboration &amp; Deployment
  </strong>
 </p>
 <ul>
  <li>
   Work with hardware engineers to design data interfaces and synchronization standards for live acquisition.
  </li>
  <li>
   Participate in field calibration, testing, and post-mission data validation.
  </li>
  <li>
   Document algorithms, results, and contribute to proposal writing and IP filings.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Ideal Candidate Profile
  </strong>
 </p>
 <ul>
  <li>
   B.Tech / M.Tech / Ph.D. in Data Science, Physics, Electrical/Computer Engineering, or Applied Mathematics.
  </li>
  <li>
   2&ndash;8 years of experience in multi-sensor data analytics, robotics, or scientific ML.
  </li>
  <li>
   Proven expertise in Python, NumPy/Pandas, PyTorch/TensorFlow, Scikit-learn.
  </li>
  <li>
   Strong grasp of signal processing (Fourier/wavelet transforms) and noise modeling.
  </li>
  <li>
   Experience with geospatial tools (GeoPandas, QGIS, rasterio) and sensor fusion frameworks.
  </li>
  <li>
   Familiarity with Kalman filtering, Bayesian statistics, and time-series modeling.
  </li>
  <li>
   Prior work involving UAV telemetry, inertial data, or magnetic field mapping preferred.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Skills (Bonus)
  </strong>
 </p>
 <p>
  &bull; Experience with edge AI model deployment (TensorRT, ONNX, Jetson).
 </p>
 <p>
  &bull; Exposure to defense or aerospace datasets.
 </p>
 <p>
  &bull; Familiarity with ROS, Gazebo, or robotics simulation environments.
 </p>
 <p>
  &bull; Knowledge of drone dynamics, control systems, or embedded ML inference.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We Offer
  </strong>
 </p>
 <p>
  &bull; Opportunity to pioneer AI-driven quantum sensing and navigation technologies in India.
 </p>
 <p>
  &bull; Work alongside a multidisciplinary R&amp;D team of physicists, engineers, and AI researchers. &bull; Access to cutting-edge datasets and hardware infrastructure.
 </p>
 <p>
  &bull; Competitive compensation, milestone bonuses, and IP participation opportunities.
 </p>
</div>


Data Scientist - Sensor Fusion & Geospatial Analytics (Quantum Navigation)

Grundfos Pumps

<div><p><b>Take the opportunity to join</b><b> our specialized IoT development team and craft cutting-edge solutions for industrial applications. Help deliver innovative, sustainable solutions that minimize environmental impact while being at the forefront of digital development.</b></p><p><b><br>
</b></p><div><b>What is the job about</b></div><div></div><div><br>
The Algorithm Development Specialist will do algorithm design in close collaboration with the product development projects ongoing and bring these algorithms to the final product ensuring value creation for our customers.</div><p></p><p><b><br>
Key Responsibilities</b></p><br>
<p></p><ul><li>
Take responsibility for the new algorithms in the DBS products.</li><li>
Facilitate/support the transfer of products to the full value chain.
</li><li>Work closely with lead specialists from T&amp;I as well as application specialists and others to create value for the DBS customers.</li><li>
Build and share knowledge of our algorithm design with colleagues and use simulation as the core in the development in both verification and development part</li><li>
Provide substance and content within own professional area.</li><li>
Apply key knowledge and technologies.</li></ul><p></p><p><b><br>
Your background</b></p><br>
<p></p><ul><li>
An Engineering having strong hands-on experience in control engineering or signal processing working in a large MNC</li><li>
Atleast 10+ years of experience within algorithm development using python scripting</li><li>
Strong expereince in Matlab Simulation</li><li>
Strong experience with planning own work and keep track of time spent and quality in deliveries</li><li>
Knowledge in Embedded C coding</li><li>
Well documented understanding and ability to drive the relevant development systems and simulation usage as an active part of the development
</li><li>Possess a great understanding of the relevant systems, local laws and regulations where applicable for product development</li><li>
Strong drive to learn and coach colleagues</li><li>
Good communication</li></ul><div></div><div><b><br>
What is in it for you</b></div><div></div><div><br>
Whether it&rsquo;s developing leadership skills or advancing your expertise even further, we&rsquo;ll support you with continuous learning and development opportunities, to help discuss and steer your long-term Grundfos career path. You&rsquo;ll be welcomed from day one into an inclusive, trusting environment guided by six core values.</div><div></div><div><b><br>
In addition, your day-to-day benefits include:</b></div><br>
<div></div><ul><li>
If you&rsquo;ll be working from your home office, we&rsquo;ll make sure you are well equipped with a good workstation. However, you are always welcome to our offices where <b>you can engage, learn, and have fun with colleagues .</b></li><li>
On top of it, flexible working hours and up to 3 days&rsquo; additional paid leave for volunteering of your choice
</li><li>Annual bonuses, health insurance, parental support, internal well-being consultants and programmes</li><li>
Diverse, inclusive environment with employee-led forums offering colleagues a safe place to connect and share openly.</li></ul><div></div><div><b><br>
Do you want to learn more?</b></div><div></div><div><br>
This position is based out of<i> </i><b><i>Chennai</i></b>. If this sounds appealing to you, please upload your CV/resume and cover letter today via our Careers portal.</div><div></div><div><br>
If you want to dig deeper into the Grundfos universe, please visit us on LinkedIn or Youtube and to get to know some of your future colleagues and why they appreciate working at Grundfos, check out Meet our people.</div><p>
We look forward to hearing from you.</p></div>

Algorithm Development Specialist

<p>ob Type: Full-Time</p><p>Location: On-Site</p><p>⸻</p><p>Job Description</p><p>We are building a next-generation embedded sensing platform that integrates wireless signal analysis, radar data fusion, real-time edge processing, and secure cloud connectivity.</p><p>We are seeking a highly skilled Embedded Firmware Engineer to lead development of the core sensing and communications firmware stack. This is a hands-on role requiring deep expertise in embedded systems, signal processing, and low-level hardware integration.</p><p>The ideal candidate has experience working with wireless PHY-layer data, radar interfaces, and secure IoT connectivity.</p><p>⸻</p><p>Key Responsibilities</p><p>Wireless Sensing Pipeline (ESP32-S3)</p><ul><li>Configure ESP32-S3 to extract and process Channel State Information (CSI)</li><li>Capture and analyze subcarrier amplitude and phase data at 100 packets per second</li><li>Implement digital signal filtering (bandpass 0.3Hz&ndash;3Hz range)</li><li>Develop Short-Time Fourier Transform (STFT)-based event detection algorithms</li><li>Optimize signal quality and reduce environmental noise artifacts</li><li>Minimize false positive event classification</li></ul><p>⸻</p><p>Radar Integration &amp; Sensor Fusion</p><ul><li>Integrate mmWave radar module via UART interface</li><li>Process raw serial radar data streams</li><li>Implement presence detection logic during low-motion conditions</li><li>Develop classification states based on radar output data</li><li>Extract low-frequency physiological or motion-based signals</li><li>Fuse radar and wireless sensing inputs for high-confidence event detection</li></ul><p>⸻</p><p>Connectivity &amp; Embedded Security</p><ul><li>Implement TLS-encrypted MQTT client on embedded device</li><li>Design robust WiFi connection and reconnection logic</li><li>Implement local hardware-based fail-safe triggers</li><li>Develop secure Over-the-Air (OTA) firmware update system</li><li>Validate signed firmware images before deployment</li><li>Support secure boot and firmware integrity verification</li></ul><p>⸻</p><p>Mechanical &amp; Deployment Awareness</p><ul><li>Support firmware integration with IP65-rated enclosure systems</li><li>Ensure RF and radar transparency compliance (non-metallic housing constraints)</li><li>Support ceiling-mounted or elevated deployment configurations</li><li>Account for sensor angle optimization in firmware calibration</li></ul><p>⸻</p><p>Required Qualifications</p><ul><li>Strong experience with ESP-IDF</li><li>Experience extracting and processing WiFi CSI data</li><li>Experience handling raw serial data from mmWave radar modules</li><li>Embedded C/C++ development</li><li>Strong signal processing background (STFT, filtering, FFT, frequency-domain analysis)</li><li>MQTT over TLS implementation on microcontrollers</li><li>OTA firmware update implementation</li><li>Experience working with hardware-level debugging tools</li></ul><p>⸻</p><p>Preferred Qualifications</p><ul><li>FreeRTOS task architecture design</li><li>Secure boot implementation</li><li>RF systems integration experience</li><li>Experience with sensor fusion algorithms</li><li>Edge AI / TinyML deployment experience</li><li>Experience in safety-critical or reliability-focused systems</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Senior Embedded Firmware Engineer (Wireless Sensing & Edge Systems)

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