Develop and scale Acceldata’s Pulse data observability platform by designing software, improving performance, delivering features, troubleshooting production issues, writing tested code, and collaborating through design and code reviews.
We are looking for a Software Engineer to join the Pulse product team at Acceldata. In this role, you will contribute to building and scaling Pulse, our data observability platform, by developing high-quality software, enhancing system performance, and delivering impactful features that improve data reliability and insights for customers.
Product Link: https://www.acceldata.io/pulse
Key Responsibilities:
- Design, develop, and maintain large-scale, scalable software applications.
- Write clean, efficient, and well-tested code following industry best practices.
- Collaborate with cross-functional teams to define, design, and deliver new features.
- Troubleshoot, debug, and resolve production issues in a timely manner.
- Participate in code reviews to maintain code quality and share knowledge.
- Continuously learn and adopt new technologies, tools, and frameworks.
Required Qualifications & Skills:
- Master’s degree in Computer Science, Engineering, or a related field.
- Proficiency in one or more programming languages such as Java, Python, or Go.
- Strong understanding of data structures, algorithms, and system design.
- Experience with distributed systems and scalable architectures.
- Familiarity with RESTful APIs and microservices architecture.
- Strong problem-solving skills and attention to detail.
- Good communication and collaboration skills.
- Ownership and accountability
- Analytical thinking
- Collaboration and teamwork
- Adaptability and continuous learning
- Customer-focused mindset
Key Competencies:
acceldata Campbell, California, USA Office
2105 S Bascom Ave, Campbell, CA, United States, 95008
Similar Jobs
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead the strategy, roadmap, business plan, and lifecycle of a data center SSD product segment. Conduct customer, market, competitor, and workload analysis; build business cases and forecasts; define product requirements; and coordinate engineering, sales, marketing, customers, and partners through product development and launch. Improve cross-functional processes and apply AI-driven workflows where beneficial.
Top Skills:
AsicsData Center InfrastructureDramFirmwareNandSsdStorage InterfacesStorage Protocols
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Leads the data center SSD product portfolio, setting strategy, roadmap, priorities, and investment decisions based on customer, market, and competitive analysis. Owns business plans, business cases, forecasts, go-to-market execution, and product launches. Partners cross-functionally with engineering, sales, marketing, customers, and technology partners while applying storage industry expertise and improving workflows through AI-driven processes.
Top Skills:
AsicsCloud StorageData Center InfrastructureDramFirmwareHardwareLlm InferenceLlm TrainingNandNoSQLSoftwareSoftware-Defined StorageSQLSsdStorage InterfacesStorage ProtocolsValidation
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Leads technology strategy for AI workloads, acceleration architectures, memory, and storage. Evaluates market opportunities, customer needs, competitive dynamics, technology roadmaps, partnerships, and investments. Translates complex technical and market analysis into product, platform, roadmap, and investment recommendations for executives. Collaborates across engineering, product, finance, operations, sales, corporate development, customers, hyperscalers, and ecosystem partners while driving cross-functional execution and executive communications.
Top Skills:
Accelerator ArchitecturesAccelerator FrameworksAIData Center InfrastructureEdge AiMemorySemiconductor TechnologyStorage
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
