Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
As a Senior Staff Software Engineer, you will develop scalable applications using a full technology stack, focusing on collaboration, AI integration, and enhancing customer experiences.
Top Skills:
AngularjsApi GatewaysAWSAzureCatchpointCdnsCSSDell BoomiHTMLJavaJavaScriptKafkaReactSplunkSQL
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The role involves building scalable code, collaborating with product owners, mentoring colleagues, and integrating AI into processes. Requires experience with modern coding practices and UI frameworks.
Top Skills:
AngularJavaJavaScriptReactVue
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Serve as a strategic finance partner for Global and Industry GTM teams, analyzing expenditures, driving decision-making, and improving financial processes.
Top Skills:
Excel
This Senior Software Engineer role focuses on developing, optimizing, and maintaining the software that drives high-performance data processing pipelines. The position plays a critical part in supporting computer vision and machine learning (CVML) initiatives, building scalable, efficient solutions for complex, data-driven challenges.
Responsibilities
- Build and Optimize the CVML Software Stack: Maintain, expand, and refine our software stack to meet high standards for performance, quality, and extensibility.
- Profile and Improve Performance: Identify bottlenecks in existing code and implement performance improvements essential for processing large datasets.
- Re-architect Legacy Code: Transform legacy code into clean, maintainable, and extensible structures that align with industry best practices.
- Manage Infrastructure and Automation: Take ownership of build processes, continuous integration, and delivery pipelines to optimize reliability and speed in deployments.
- Enhance Test Coverage and Quality: Strengthen test strategies to improve reliability, functionality, and maintainability across codebases.
- Support Deep Learning Development: Enable deep learning workflows, including automating training processes, managing model versioning, and ensuring traceability.
- Develop High-Performance Code: Write efficient, lower-level code (e.g., in C++) and create seamless Python interfaces for team accessibility.
- Build Tools for R&D: Develop both web-based and native tools that simplify workflows and empower R&D efforts.
Requirements
- Educational Background: A BS or MS in Computer Science or a related field is recommended but not required.
- Experience: 5+ years in software engineering, with a focus on performance optimization and high-performance computing.
- Programming Skills: Advanced proficiency in both C++ and Python, with a disciplined approach to coding practices.
- Scripting Proficiency: Strong experience with shell scripting, especially in Bash and Python.
- Source Control: Proficiency in Git and collaborative source control practices.
- Linux Expertise: Extensive hands-on experience with Debian-based Linux distributions, such as Ubuntu.
- Familiarity with Modern Development Practices: Knowledge of CI/CD processes, Scrum methodologies, and automated testing.
Preferred Qualifications
- Preferred Qualifications
- Experience with Python C++ extension packaging.
- Knowledge of Docker containerization.
- Familiarity with the Nvidia Jetson platform.
- Exposure to cloud computing platforms, such as GCP, AWS, or Azure.
This role offers an opportunity to work at the forefront of computer vision and machine learning, addressing challenging, impactful projects within a collaborative, future-focused environment. With the chance to make significant contributions and tackle meaningful technical problems, this position is ideal for professionals looking to deepen their expertise in CVML and data processing.
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute