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Senior Staff Software Engineer at Second Renaissance

Second Renaissance No longer available

Job Description

Overview

As a Senior Staff Software Optimization Engineer you will collaborate with a specialized team to drive C++ system optimizations for enhancing LLM model inference and training performance. You will play a pivotal role in transforming innovative concepts into tangible products alongside top AI/ML researchers. This is a full-time position. Working remotely is possible, but local candidates are preferred.

Responsibilities
  • Efficiently transform ideas and concepts into working prototypes and production-level code.
  • Conduct in-depth performance analysis and profiling, and identify performance bottlenecks.
  • Devise and implement novel strategies that exploit algorithm insights and hardware capabilities for enhanced efficiency, and speed.
  • Optimize core AI/ML algorithms to enhance performance.
  • Stay at the forefront of software, hardware optimization and AI advancements, utilizing this knowledge to spearhead continuous improvements.
  • Offer technical leadership and mentorship, elevating engineering practices and contributing to the development process.
Qualifications
  • Master's degree (or equivalent experience) in Computer Science, Engineering, or a related field.
  • Must have over 5 years of experience in software engineering and product development. A minimum of 2 years experience in optimizing AI models is strongly preferred.
  • Outstanding proficiency in C/C++, with hands-on experience developing high-performance systems. Familiarity with SIMD programming, assembly, intrinsic functions, AVX, or similar instruction sets, is a strong plus.
  • A strong understanding of memory allocation, the memory hierarchy and optimizing to make the best use of caches and memory layout on multi-core multi socket servers.
  • Expertise in common data structures and an understanding of CPU/GPU architectures, essential for developing optimized software.
  • A thorough grasp of system architecture, including hardware accelerators and advanced optimization techniques.
  • Experience working with LLMs, and a strong understanding of transformer attention is strongly preferred.
  • Strong communication abilities, capable of simplifying complex technical details for diverse audiences.
  • Adaptable and quick to embrace new technologies and methods, thriving in a fast-paced and innovative environment.
What We Offer
  • A role at the forefront of the AI revolution with a company shaping the future of intelligent computing.
  • A high degree of autonomy and responsibility from the outset, with significant opportunities for professional growth.
  • The chance to work with a world-class team of scientists and engineers.
  • A vibrant startup culture that values innovation, creativity, and collaboration.
Compensation & Application

Compensation: At Numenta, we offer a competitive salary reflective of the candidate's expertise. Our compensation package includes full medical, dental, and vacation benefits. The base annual salary range for this position for candidates residing in the San Francisco Bay Area is $150,000 to $225,000; exact salary will depend on the candidate's experience level and fit to the job description. We also include a competitive stock option package, ensuring a shared stake in our future success.

How To Apply

To apply please send your resume and a cover letter to . The cover letter must state your specific fit to Numenta's technology and products, and the requirements above.

Numenta is an equal opportunity employer supporting workforce diversity.

Join us at Numenta to help shape the future of AI. Apply today!

Typical senior pay: $169k for Software Developers nationally

National salary averages
Expected senior-level
$169k
Entry
Mid
Senior
Expected
$80k Market range (10th-90th percentile) $211k

Senior roles pay 64% more than entry—experience is well rewarded.

Strong candidate leverage

High demand and responsive wages. Negotiate confidently on all fronts.

Hiring leverage
Lean candidate
Wage leverage
Moderate
Mobility
Good mobility

Who this leverage applies to

Stronger for: All experience levels

Where to negotiate

Base salary
Sign-on bonus
Title / level
Remote flexibility
Scope & responsibility
Start date / PTO

Likely Possible Unlikely

Use competing offers and timing to your advantage.

Does this path compound?

Job Growth →
High churn
Growth, flat pay
🚀 Compound
Growth + pay upside
⚠️ Plateau
Limited growth
Specialize
Experts earn more
Pay Upside →
Growth + pay upside

Both the field and your earnings can grow significantly.

+16%
10yr growth
A bachelor's degree is typically expected.
115,200 openings projected annually—mostly replacing retirees and turnover.
Typical: Bachelor's degree

Good time to build expertise—demand will chase supply.

Labor data: BLS 2024