2131 Software Engineering jobs in Seattle,WA

Sign-on payments

Restricted stock units (RSUs)

184,900.00 - 250,200.00 USD annually

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D; insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)

401(k) matching

Paid time off

Parental leave

Candidates 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.

3+ years of engineering team management experience

7+ years of working directly within engineering teams experience

3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience

Experience partnering with product or program management teams

Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations

Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy

Experience delivering products against plan in a fast-paced, multi-disciplined, distributed-responsibility and often ambiguous environment

Experience in Space Vehicle/Satellite Operations, Space Communications or related industry

$70.00 - $85.00/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)

Understand how commodity servers, operating systems and networks function, perform and scale.

In depth knowledge & experience of wireless communication embedded RF Systems.

Strong system troubleshooting skills.

Proficiency and experience in automation via Python programming and shell scripting.

Good understanding of standard internet protocols (wireless communication protocols, Ethernet, ARP, IP, ICMP, UDP, TCP, SSL, DNS, HTTP, etc.)

Demonstrable grasp of security best practices in server configuration, tool development, and access controls.

Experience in building SQL queries.

Python

Backend

AWS

Expert Level

Wireless embedded communication systems

RF systems and test equipment

Experience defining system performance\KPIs

Understanding & experience of managing and monitoring large scale communication systems

Operational knowledge of common enterprise switching and routing platforms

$174,000.00 - $261,000.00

Competitive annual discretionary bonus program

Opportunity for annual RSU grants

Our highly competitive benefits package is designed to support your success at work, at home, and at play.

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Ideal candidate has extensive expertise in building end to end applications for one or more of Computer Vision, Audio, LVM, LLM use cases using AI/ML tools/workflow preferably on Windows on CPU, GPU, NPU.

Excellent understanding of AI frameworks (e.g., TensorFlow, PyTorch), GPU programming, and parallel computing. Experience with large language models/foundational models development and deployment a plus

Good Understanding of complete AI Software stack and familiarity with AI performance tuning techniques on GPU, NPU based systems

Experience with development of end-to-end AI application on Windows using Windows ML, DirectML

Experience in full workflow involved in training and deployment of models on servers and porting to client Windows compute platforms involving model inference deployment and performance tuning

Proficiency in programming languages such as Python, C++

Familiarity with software development methodologies, version control systems, and agile project management practices.

4+ years' experience in application development involving High Performance Computing with 2+ years in AI application development on Windows

Bachelors/Masters in Computer Science or Electrical Engineering