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Cache Capital Jobs (NOW HIRING)

Staff Software Engineer

Foster City, CA · On-site

$240K - $315K/yr

... Capital, and Seven Seas Partners, Alluxio sits at the intersection of data, distributed systems ... Cache and metadata consistency - advance Alluxio's intelligent caching framework for multi-tenant ...

Staff Software Engineer

Foster City, CA · On-site

$240K - $315K/yr

... Capital, and Seven Seas Partners, Alluxio sits at the intersection of data, distributed systems ... Cache and metadata consistency - advance Alluxio's intelligent caching framework for multi-tenant ...

Staff Software Engineer

Foster City, CA · On-site

$240K - $315K/yr

... Capital, and Seven Seas Partners, Alluxio sits at the intersection of data, distributed systems ... Cache and metadata consistency - advance Alluxio's intelligent caching framework for multi-tenant ...

... Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ... Repeated kv cache for long-running agents * Distillation without the dark - replicating black-box ...

Android Developer

Palo Alto, CA · On-site

$65.50 - $86/hr

... capital firms in New York and Silicon Valley behind our vision. Build an easy to use, fast ... Storage such as SQLite, SharedPreferences, File Storage, and Cache Storage * Animations, Graphics ...

Android Developer

Palo Alto, CA

$65.50 - $86/hr

... capital firms in New York and Silicon Valley behind our vision. Build an easy to use, fast ... Storage such as SQLite, SharedPreferences, File Storage, and Cache Storage * Animations, Graphics ...

Sr. Principal SoC Architect

San Jose, CA · On-site

$275K - $325K/yr

Participants include M12 (Microsoft's Venture Fund), Carbon Direct Capital, Aramco Ventures, Bosch ... Drive CPU architecture specification encompassing microarchitecture, pipeline design, cache ...

Site Reliability Engineer (AWS)

Milwaukee, WI · Hybrid

$56.25 - $74.75/hr

... and Capital Markets business. This role will report under our Wealth and Retirement team. FIS ... In-Memory Cache, S3: object storage, Security Groups: Ingress/Egress Firewall configurations for ...

... Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ... kv cache reuse, chunked prefill and LoRA) for ML model inference and infrastructure. * Deep dive ...

... Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets ... Understanding of AXI/AMBA protocols and cache coherency * Experience with FPGA prototyping or ...

... Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets ... Understanding of AXI/AMBA protocols and cache coherency * Experience with FPGA prototyping or ...

Software Engineer

New York, NY · On-site

$140K - $220K/yr

Capital : We're backed by the world's best investors, including Sequoia, Felicis, and a standout ... Implemented incremental forward chaining to cache authorization responses for deeply nested ...

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Cache Capital information

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$43.5K

$128.4K

$325K

How much do cache capital jobs pay per year?

As of May 30, 2026, the average yearly pay for cache capital in the United States is $128,375.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $130,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Venture Capital Analyst at a firm like Cache Capital, and why are they important?

To thrive as a Venture Capital Analyst, you need strong analytical skills, financial modeling expertise, and a background in finance, economics, or a related field, often supported by a relevant degree. Proficiency with Excel, PowerPoint, and research databases such as PitchBook or Crunchbase, as well as familiarity with due diligence processes, is typical. Standout soft skills include effective communication, critical thinking, and the ability to build relationships with startups and stakeholders. These skills are essential for sourcing promising deals, evaluating investment opportunities, and supporting portfolio growth in a competitive investment environment.

What are the typical responsibilities and daily tasks of an investment professional at Cache Capital?

As an investment professional at Cache Capital, your daily tasks typically include sourcing and evaluating potential investment opportunities, conducting detailed market and financial research, and performing due diligence on prospective portfolio companies. You will also prepare investment memos, present findings to the investment committee, and work closely with portfolio companies to support their growth strategies. Collaboration is key, as you’ll frequently interact with team members across investment, legal, and operations departments, as well as external advisors and company founders.

What is Cache Capital?

Cache Capital is a venture capital firm that provides funding and support to early-stage technology startups, primarily in China. The firm focuses on investing in innovative companies across various sectors, including artificial intelligence, internet technologies, and consumer services. Cache Capital offers not only financial backing but also mentorship and strategic guidance to help startups grow and succeed in competitive markets.

What is the difference between Cache Capital vs Financial Analyst?

AspectCache CapitalFinancial Analyst
Required CredentialsTypically a bachelor's degree in finance, economics, or related fieldsUsually a bachelor's degree in finance, accounting, or economics; certifications like CFA are common
Work EnvironmentInvestment firms, private equity, or venture capital settingsCorporations, banks, investment firms, or consulting companies
Employer & Industry UsageUsed in private equity and investment managementCommon in finance, banking, and corporate finance sectors
Comparison Search IntentUnderstanding private equity or investment rolesAnalyzing financial data and investment opportunities

Cache Capital typically refers to private equity or investment firms focusing on capital management, while Financial Analysts evaluate financial data to support investment decisions. Both roles require finance-related degrees and work in finance-heavy environments, but Cache Capital roles are more investment-focused, whereas Financial Analysts often work across various industries analyzing data for decision-making.

More about Cache Capital jobs
Infographic showing various Cache Capital job openings in the United States as of May 2026, with employment types broken down into 6% Full Time, 93% Part Time, and 1% Temporary. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $128,375 per year, or $61.7 per hour.
Staff Software Engineer

Staff Software Engineer

Alluxio

Foster City, CA • On-site

$240K - $315K/yr

Full-time

Posted 19 days ago


Job description

About Alluxio
Alluxio powers the data layer for modern AI and analytics. Proven in production at eight of the top ten internet companies and seven of the ten highest-valued enterprises globally, Alluxio's data orchestration platform unifies data across storage systems, regions, and clouds providing a high-performance distributed caching layer built for large-scale AI workloads.
Spun out of UC Berkeley's AMPLab by the creators of Tachyon and backed by Andreessen Horowitz, Hillhouse Capital, and Seven Seas Partners, Alluxio sits at the intersection of data, distributed systems, and AI infrastructure.
Our technology is deployed at scale by organizations such as Meta, Uber, Tencent, TikTok, Alibaba, Expedia, Rakuten, Microsoft, and Walmart, orchestrating data for billions of operations per day. Learn more at alluxio.io or on Wikipedia.
The Role
We're looking for experienced distributed-systems engineers to join our Core Product team and advance the next generation of Alluxio's data-orchestration engine - the foundation for AI and analytics at global scale.
As a Staff Software Engineer, you'll work on high-impact systems problems such as:
1. Optimizing metadata management, caching, and replication across thousands of nodes.
2. Designing concurrent, fault-tolerant services for multi-region and multi-cloud environments.
3. Evolving Alluxio's storage abstraction and scheduling layer to support large-scale AI/ML data pipelines.
4. Collaborating with internal product teams to push the limits of distributed I/O performance.
This is a hands-on, architecture-plus-implementation role for engineers who love deep systems work and want visible impact in a small, senior, highly technical team.
What You'll Own
  • Cache and metadata consistency - advance Alluxio's intelligent caching framework for multi-tenant environments (TTL policies, write-back consistency, invalidation protocols, and distributed metadata scaling).
  • High-throughput data I/O optimization - profile and optimize Alluxio's data path across S3, GCS, HDFS, and POSIX interfaces using adaptive prefetching, async I/O, and tier-aware scheduling.
  • Scaling for AI and analytics workloads - evolve the coordination layer to efficiently serve distributed AI training clusters, accelerating model load and shuffle operations across regions and clouds.
  • Observability and performance insights - build fine-grained metrics and tracing for cache efficiency, throughput, and latency across storage tiers.
  • Open-source leadership - drive design discussions, mentor contributors, and represent Alluxio's core-systems direction within the OSS community.

What You'll Do
  • Design and implement core components of Alluxio's distributed file and object-access layer.
  • Optimize performance for large-scale, high-throughput environments using advanced concurrency and caching techniques.
  • Build scalable metadata and coordination systems that ensure strong consistency, high availability, and minimal latency.
  • Collaborate cross-functionally with product, solution-engineering, and research teams to drive roadmap and customer success.

What We're Looking For
  • Strong computer-science fundamentals and a passion for large-scale distributed systems.
  • Professional experience developing in Java, C++, or Go.
  • Deep understanding of concurrency, replication, fault tolerance, and performance optimization.
  • Experience with distributed storage, data-access layers, or cloud infrastructure (e.g., Spark, Presto, Hadoop, Kubernetes).
  • Bachelor's or advanced degree in Computer Science or related technical field (or equivalent experience).
  • Demonstrated technical leadership: defining architecture, mentoring peers, or driving major projects from design through release.

Why Alluxio
  • Build infrastructure trusted by the world's largest AI and data-driven companies.
  • Join a small, senior engineering team where your designs shape the product's evolution.
  • Work directly with the original creators of open-source Alluxio.
  • A culture of empathy, curiosity, and ownership - where engineers collaborate closely to solve hard problems.

Alluxio is an equal opportunity employer and does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors.
The salary range for this US full-time position is $240,000-$315,000, depending on experience, and subject to standard withholding and applicable taxes. All candidates receive generous equity (stock options) and access to a comprehensive benefits offering. The base salary range reflects the minimum and maximum target for candidates across all US locations. Work location, skills, experience, and any relevant education or training determine the compensation awarded to the candidate. The Recruiting Team or Hiring Manager can share more about the specific salary range with you during the recruitment process.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.