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Cache Capital Jobs (NOW HIRING)

Mythic

Senior Silicon Emulation Engineer

Austin, TX

$120K - $225K/yr

... 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 ...

Baseten

Software Engineer - GPU Kernels

New York, NY · On-site

$180K - $360K/yr

... Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ... Memory hierarchy (global, shared, registers, L1/L2 cache) * Thread/block/grid organization

Qode

.NET Architect

Austin, TX · On-site

Redis Cache * Kafka or Azure Service Bus messaging systems Financial Services Domain Experience * Prior experience in Banking, Capital Markets, Wealth Management, Trading Platforms, Payments, or ...

Qode

.NET Architect

Austin, TX · On-site

Redis Cache * Kafka or Azure Service Bus messaging systems Financial Services Domain Experience * Prior experience in Banking, Capital Markets, Wealth Management, Trading Platforms, Payments, or ...

Baseten

Post-Training Research Engineer

San Francisco, CA · On-site

$200K - $275K/yr

... 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 ...

Baseten

Post-Training Applied Researcher

San Francisco, CA · On-site

$200K - $275K/yr

... 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 ...

Alluxio

Senior Software Engineer

Foster City, CA

$142.80K - $188.20K/yr

... Capital, and Seven Seas Partners, Alluxio sits at the intersection of data, distributed systems ... Cache and metadata enhancements - design and implement improvements to caching policies, eviction ...

Alluxio

Senior Software Engineer

Foster City, CA · On-site

$142.80K - $188.20K/yr

... Capital, and Seven Seas Partners, Alluxio sits at the intersection of data, distributed systems ... Cache and metadata enhancements - design and implement improvements to caching policies, eviction ...

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$43.5K

$128.4K

$325K

How much do cache capital jobs pay per year?

As of May 29, 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
What job categories do people searching Cache Capital jobs look for? The top searched job categories for Cache Capital jobs are:
Cache Capital jobs near you
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.
Senior Silicon Emulation Engineer

Senior Silicon Emulation Engineer

Mythic

Austin, TX

$120K - $225K/yr

Full-time

Posted 9 days ago

Job description

About us:

Mythic is building the future of AI computing with breakthrough analog  technology that delivers 100 the performance of traditional digital systems  at the same power and cost. This unlocks bigger, more capable models and  faster, more responsive applications-whether in edge devices like drones,  robotics, and sensors, or in cloud and data center environments. Our technology powers everything from large language models and CNNs to advanced signal processing, and is engineered to operate from -40 C to +125 C, making it ideal for industrial, automotive, aerospace, and defense.

We've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets.

Mythic's Digital Design Team is seeking a Silicon Emulation Engineer to support the development and validation of AI accelerator and AI-centric SoCs using hardware emulation platforms. This role is critical to enabling early bring-up, software validation, and performance analysis of neural network accelerators prior to silicon availability. The engineer will work closely with RTL, verification, compiler, firmware, and ML software teams to ensure functional correctness, performance targets, and system-level integration of AI workloads.
What You'll Do
  • Develop and maintain emulation platforms for AI accelerator / AI-centric SoCs
  • Integrate large-scale RTL (compute, DMA, memory subsystems, interconnects) into emulation environments
  • Enable early firmware, driver, runtime, and ML stack bring-up on emulated hardware
  • Support execution of AI inference workloads (e.g., CNNs, transformers) on emulated Mythic accelerators
  • Collaborate with compiler, runtime, and ML teams to debug HW/SW co-design issues
  • Develop scripts and automation for emulation builds, regressions, and workload execution
  • Analyze performance, bandwidth utilization, latency, and throughput of AI workloads in emulation
  • Debug complex issues spanning RTL, firmware, drivers, and user-space ML frameworks
  • Support post-silicon correlation and performance validation when applicable
  • Document emulation flows, performance methodologies, and debug procedures
What We're Looking For
  • Bachelor's, Master's, or Doctorate degree in Electrical Engineering, Computer Engineering, Computer Science, or related field
  • Strong understanding of SoC architectures and AI accelerator design concepts
  • Experience with RTL simulation and emulation (Verilog/SystemVerilog)
  • Familiarity with hardware emulation platforms (e.g. Cadence Palladium)
  • Experience working in Linux-based environments
  • Proficiency in scripting (Python, Tcl, Bash)
  • Strong debugging skills across hardware and software layers
Nice to Have
  • Experience with NPU, DSP, or GPU-class accelerators
  • Experience running or debugging ML inference workloads on pre-silicon platforms
  • Knowledge of AI software stacks (runtime, compiler, graph execution)
  • Familiarity with DMA engines, memory hierarchies, and high-bandwidth interconnects
  • Understanding of AXI/AMBA protocols and cache coherency
  • Experience with FPGA prototyping or hybrid emulation flows
  • Exposure to performance modeling or architectural trade-off analysis
$120,000 - $225,000 a year
The proposed salary range for this position is $120,000-$225,000 annually. Actual compensation depends on experience, skills, qualifications, and location.
At Mythic, we foster a collaborative and respectful environment where people can do their best work. We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver. Our team brings a wide range of experiences and perspectives, which we see as a strength in solving hard problems together. We value professionalism, creativity, and integrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully.
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