1522 Embedded Software Engineer Audio Level jobs in Dallas,TX

$50.00 - $90.00/hr.

Medical, dental & vision

Critical Illness, Accident, and Hospital

401(k) Retirement Plan

Pre-tax and Roth post-tax contributions available

Life Insurance (Voluntary Life & AD&D; for the employee and dependents)

Short and long-term disability

Health Spending Account (HSA)

Transportation benefits

Employee Assistance Program

Time Off/Leave (PTO, Vacation or Sick Leave)

Bachelor AND Masters Degree in Engineering, Computer Science, Robotics, or a related field.

3-5+ years of experience developing perception systems for robotics, autonomous vehicles, or advanced driver/operator assist systems.

2+ years with Machine Learning for Perception (tuning and training models/deep learning)

Strong understanding of computer vision, sensor fusion, and machine learning concepts applied to real-world perception problems.

Proficiency in C++ and Python for developing production-quality perception and autonomy software.

Experience with ROS or similar autonomous infrastructure software frameworks for robotic systems.

Hands-on experience working with camera, lidar, and/or radar data for perception and autonomy applications.

Practical experience using OpenCV for computer vision tasks and TensorFlow or PyTorch for deep learning-based perception models.

Experience with mobile robotics perception for autonomy or advanced operator assist systems, including computer vision, machine learning, and deep learning techniques.

Familiarity with lidar, radar, and cameras as perception sensors and their integration into autonomy software stacks.

Working knowledge of the Agile software development life cycle and its application to perception and autonomy software projects.

Experience using modern development tools such as Git, DockSr. er, CMake, and testing frameworks to build, test, and deploy software.

Experience with Eigen for numerical and linear algebra operations in perception and autonomy algorithms.

Familiarity with Azure DevOps or Jira for project management, work item tracking, and Agile collaboration.

Knowledge of standard software development tools such as SonarQube, GoogleTest, Artifactory, and Clang used in mobile robot perception system development.

Knowledge of cloud compute and storage tools, including AWS EC2, S3, and Batch, for training, deploying, or scaling perception and machine learning workloads.

Experience with code development tools and continuous integration/continuous delivery practices for perception software.

Background in artificial intelligence, autonomy, or advanced operator assist systems is highly beneficial.

$60.00 - $87.00/hr.

Medical, dental & vision

Critical Illness, Accident, and Hospital

401(k) Retirement Plan

Life Insurance (Voluntary Life & AD&D; for the employee and dependents)

Short and long-term disability

Health Spending Account (HSA)

Transportation benefits

Employee Assistance Program

Time Off/Leave (PTO, Vacation or Sick Leave)

3+ years of professional software development experience.

Must have development experience with Ignition

Experience with one or more of the following: Python, Java, C#, or JavaScript.

Strong full-stack development experience, including front-end and back-end technologies.

Strong MES experience

Experience with React or similar modern web frameworks.

Experience working with relational and/or non-relational databases.

Knowledge of Git, CI/CD practices, and modern deployment processes.

Familiarity with containerization technologies such as Docker.

Bachelor's degree in Computer Science, Software Engineering, or a related field.

Experience with Ignition, Perspective, or industrial application development.

Experience in manufacturing, industrial automation, or operational technology environments.

Familiarity with MQTT, OPC-UA, SCADA, MES, or ERP systems.

Experience deploying applications in Azure, AWS, or other cloud environments.

Experience working in Agile/Scrum teams.

5 Days - 8 Hours

Full Time

Proficient in Microsoft applications including Word, Excel, and PowerPoint

5+ years within healthcare, business, or information systems

Certified or proficient in assigned Epic module (must be obtained within 6 months of employment date)

Associates or Bachelor's degree preferred with a focus in healthcare, business, or information systems.

Associated certifications on area of focus, preferred

Full-Time Salary Range: $107359 - $182510

Health, dental, and vision insurance

Health savings accounts

A 401(k) savings plan

Disability coverage

Life and accident insurance

An employee assistance program

A legal plan

Discounts on things like home, auto, and pet insurance

Paid time off

Paid holidays

Paid parental, military, bereavement, and any applicable federal and state sick leave

Bachelor's degree in electrical engineering

Minimum of four years of relevant experience in related industry (i.e. defense, electronics) or two years with a master's degree

Solid understanding of fundamentals of digital, analog, power, and mixed-signal electronics and interface/communication standards such as UART, SPI, QSPI, I2C, USB, Ethernet, ARINC 429, MIL-STD-1553, PCIe

Experience with the SOSA standard for 3U and 6U VPX module design.

PCB/CCA design experience for 3U or 6U VPX and other form factors.

Proficient at testing and troubleshooting analog, digital, and power supply-based circuits in a lab setting using oscilloscopes, bench supplies, vector network analyzers, spectrum analyzers, frequency counters, arbitrary waveform generators, function generators, logic analyzers

Master's degree in electrical engineering, RF Engineering, or equivalent

Familiarity designing with FPGAs, System-On-Chips (SoC), and/or CPLDs using VHDL and/or Verilog

Familiarity designing and writing embedded SW for microcontroller-based systems and modules

Knowledge of system level EMI mitigation techniques along with proper grounding/shielding architecture

Experience with high-speed mixed signal HDI PCB design, constraints management, and proper routing for interfaces with lane rates up to 25Gbps

Understanding of SPICE simulators and simulation methods, preferably using LTSpice, TINA, PSpice Experience with the following PCB and CCA design features: micro-via and blind/buried vias, stacked micro-vias, via-in-pad and via fill/cap processes, controlled impedances, back drilling, high pin count / fine-pitch BGAs, Chip-on-Board (COB), QFNs/DFNs, LGAs, and other advanced IC package types

Familiarity with Signal Integrity and Power Integrity, as it applies to proper layout techniques

Ability to obtain a DoD Security Clearance - Secret

The salary range for this role is 86,800 USD - 165,200 USD.

Annual short-term and/or long-term incentive compensation programs

Relocation assistance available for this position

Medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays

Typically requires a bachelor's degree in Science, Technology, Engineering or Mathematics (STEM) and minimum of 5 years of prior relevant experience or an advanced degree in a related field and minimum 3 years' experience to include radar systems, software engineering, radar signal processing techniques, mathematical / radar mode algorithm development, analytic techniques and digital simulation models (DSM)

The ability to obtain and maintain a U.S. government issued Secret security clearance is required.

U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Coding experience is required to implement algorithms into the program's system simulation

An active and in-scope DOD Secret US security clearance is desired.

MATLAB and C or C++

Model Based Systems Engineering (MBSE) tools

Mathcad, Python, or related languages and tools

TF Navigation concepts and algorithms

Radar mode development skills including maritime surveillance, MTI, air-to-air, sense and avoid, weather detection, and terrain detection / terrain avoidance

Digital communications

Strapdown inertial navigation and transfer alignment

Target discriminators and feature extraction / exploitation

Machine-learning experience