Silicon Valley Career Coach.
The Highest Bar on Earth. Your Resume Either Clears It or It Doesn’t.
Apple, Google, Meta, Nvidia, and Cisco are all headquartered within 30 miles of each other. The competition for every senior role here is global, credentialed, and relentless. Most Silicon Valley professionals are extraordinarily qualified — and getting filtered anyway because their resume doesn’t communicate their impact in the specific language these companies evaluate in the first six seconds. Legacy Careers LLC builds documents that clear that filter.
Legacy Careers LLC · 2,500+ placed · 87% placement rate · 58-day avg. to offer
Apple hiring managers scan for hardware-software integration specifics, silicon architecture depth, and supply chain performance at the scale of a trillion-dollar consumer hardware company — not generic product or engineering language. Nvidia evaluates GPU architecture engineers, ML infrastructure professionals, and CUDA platform developers for the specific parallel computing depth that the world’s most valuable semiconductor company demands. Google’s bar-raiser culture requires quantified system-level impact at Google scale — billions of users, petabytes of data, and measurable latency improvements — not just a list of technologies used. Meta, Cisco, and Intel each have their own equally specific hiring vocabulary. Most Silicon Valley professionals have the experience. Almost none have a document written precisely enough to clear the six-second scan at each of these companies simultaneously.
A Single Generic Resume Competes in None of Them. A Precisely Built One Wins in All of Them.
Apple’s headquarters in Cupertino anchors the world’s most valuable consumer hardware and software ecosystem — a company that has redefined product design, silicon engineering, and supply chain operations simultaneously. Nvidia’s Santa Clara headquarters has become the most consequential semiconductor company of the AI era — their H100 and Blackwell GPU architectures are the physical infrastructure of the artificial intelligence revolution, and every function at Nvidia is evaluated through the lens of accelerated computing depth. Google’s Mountain View campus sets the global bar for software engineering scale, search infrastructure, and AI research. Meta’s Menlo Park campus evaluates engineers, product managers, and researchers for social platform scale. Cisco’s San Jose headquarters anchors enterprise networking and cybersecurity. Intel’s Santa Clara campus is navigating its most significant manufacturing transformation since the microprocessor. Every one of these companies recruits globally — and every one evaluates candidates at a bar set by the best engineers, product managers, and operators in the world. Most Silicon Valley professionals are competing in this field with a resume that has never been written for it specifically.
You’re Qualified. Your Resume Just Isn’t Written for the World’s Hardest Hiring Market.
Apple, Nvidia, and Google don’t filter you because you’re underqualified. They filter you because your resume doesn’t communicate your impact in the specific technical and operational language their hiring systems are built to identify. The difference between getting the interview and getting filtered is almost never about experience — it’s almost always about how precisely that experience is expressed on paper.
Apple is the only company on earth that designs its own silicon, operating systems, developer platform, and retail experience simultaneously — and their hiring managers evaluate every function through the lens of that integration. Hardware engineers are evaluated for silicon architecture specifics: process node transitions, power efficiency at nanometer scale, thermal performance metrics, and the specific Apple Silicon roadmap language that signals a candidate who understands the M-series and A-series chip design philosophy. Product managers are evaluated for the cross-functional integration language that Apple’s unified platform demands — not standard PM metrics. Supply chain professionals are evaluated for the global manufacturing precision and supplier relationship depth that building 200 million iPhones per year actually requires. Generic hardware, product, or operations resumes don’t enter Apple’s evaluation process competitively.
Nvidia has become the most important semiconductor company in the world in less than five years — and their hiring bar reflects that position. GPU architecture engineers are evaluated for CUDA programming model depth, tensor core utilization optimization, memory bandwidth efficiency, and the specific parallel computing performance metrics that distinguish a world-class GPU engineer from a general-purpose computer architect. ML infrastructure engineers are evaluated for distributed training framework specifics — PyTorch FSDP, Megatron-LM, NCCL communication optimization — and large-scale model training efficiency metrics. Software engineers are evaluated for CUDA kernel optimization, driver stack depth, and the specific accelerated computing vocabulary of an organization that is building the physical infrastructure of the AI revolution. Most engineers applying to Nvidia have relevant experience. Almost none have a resume that reflects it at Nvidia’s actual technical depth.
Google’s bar-raiser culture is legendary — and it’s legendary for a reason. Their hiring process is explicitly designed to filter for candidates who have operated at Google scale and can communicate it precisely: systems serving billions of users, infrastructure handling petabytes of daily data, latency improvements measured in milliseconds across global request volume, and machine learning models trained on datasets larger than most companies’ entire data footprint. A resume that says “built scalable systems” or “improved recommendation accuracy” fails Google’s evaluation at the first recruiter screen. The specific metric, the specific scale, and the specific system-level impact — stated precisely — is what moves a Google application from “screened out” to “phone screen scheduled.”
Silicon Valley’s Core Employers — We Know Their Hiring Languages From the Inside
Silicon Valley isn’t one job market — it’s a collection of the world’s most demanding and technically specific hiring cultures operating within 30 miles of each other. Each one evaluates candidates differently. Each one requires a different resume vocabulary. We’ve placed professionals across all of them.
Hardware engineers, silicon architects, iOS and macOS software engineers, product managers, supply chain and operations leaders, retail and services professionals. Apple’s unified platform philosophy means every function is evaluated for cross-disciplinary integration depth — the hardware team that doesn’t understand software, and the PM that doesn’t understand silicon, both fail Apple’s bar. We build for Apple’s specific integration language across every function, from Apple Silicon design to Developer Relations to Global Supply Chain.
GPU architects, CUDA engineers, ML infrastructure engineers, AI research scientists, semiconductor design professionals, enterprise software engineers, and sales and solutions architects for the data center and automotive AI markets. Nvidia’s position as the physical infrastructure of the AI era means every technical role is evaluated for accelerated computing depth — and every business role is evaluated for the ability to translate that depth into enterprise value. Generic semiconductor or ML resumes compete poorly at Nvidia’s current talent bar.
Software engineers at every level (L3–L7+), product managers, site reliability engineers, ML researchers, data scientists, and technical program managers. Google’s Levels.fyi compensation transparency has made their pay bands globally known — and their bar-raiser interview culture equally famous. Every engineering resume targeting Google needs to communicate system-level impact at Google scale, distributed systems depth, and the specific algorithmic and infrastructure vocabulary that Google’s technical screens evaluate from the first recruiter pass.
Software engineers, product managers, data scientists, ML engineers, AR/VR hardware and software professionals, and infrastructure engineers across Meta’s family of apps — Facebook, Instagram, WhatsApp, Threads — and the Reality Labs division building the metaverse. Meta’s hiring evaluates for social platform scale, experimentation framework depth, and the specific ranking and recommendation system language that billions of daily active users create. Reality Labs adds a hardware and spatial computing dimension that almost no career coach in Silicon Valley is positioned to write for.
Cisco’s San Jose headquarters covers enterprise networking, cybersecurity, collaboration, and cloud infrastructure at global scale. Intel’s Santa Clara campus is navigating its most significant manufacturing and architecture transformation in decades — IDM 2.0, Intel Foundry Services, and the transition to GAAP-competitive process nodes. Network architects, cybersecurity engineers, semiconductor process engineers, and enterprise technology professionals need resumes built for the specific operational and technical depth these established giants evaluate — distinct from the startup and hyperscaler language that dominates Silicon Valley coaching.
Senior leaders targeting Director, VP, and C-suite roles at Silicon Valley’s most demanding employers — and professionals making the hardware-to-software, research-to-product, startup-to-FAANG, or enterprise-to-hyperscaler transitions that Silicon Valley’s unique ecosystem enables. At every level above L5 at FAANG, your documents compete against the top candidates in the world. The difference between your resume and theirs is almost never experience — it’s almost always precision of expression, scale of stated impact, and domain vocabulary specificity.
This Is What It Looks Like When a Hiring Executive Builds Your Resume for the World’s Hardest Market
Anthony Harris spent 12+ years making hiring decisions across operations, process improvement, and enterprise leadership. He didn’t just review resumes — he made the calls that changed people’s careers. Every document we build is written with that exact perspective — what the person across the table from you at Apple, Nvidia, Google, or Meta is actually evaluating in those first six seconds.
Not “get more responses.” Land a role with an offer letter. The 87% placement rate holds even in Silicon Valley’s hyper-competitive market — because the problem most qualified professionals here have is not their experience. It’s that their resume has never been written to communicate that experience at the precision and scale Apple, Nvidia, and Google’s hiring systems require. Fixing that specific problem is what we do.
Silicon Valley’s hiring windows are paradoxically fast and slow simultaneously. Headcount freezes can last months — and then a team gets budget approval and fills three L5 roles in three weeks. Being positioned with a precisely built document before the window opens — rather than scrambling to update a resume after seeing the job posting — is the structural advantage that consistently separates our clients from the candidates who miss the window every time it opens.
Silicon Valley’s total compensation bands are the widest in the world — particularly at Nvidia, Apple, and Google, where the difference between mid-band and top-of-band at L5 or Director can exceed $150K annually in base, bonus, and RSU value. Most professionals here are sitting at mid-band or below not because their performance doesn’t justify more, but because they’ve never negotiated with a document that positioned their impact at the level the top of the band actually requires. We build that document.
Silicon Valley professionals hold every service provider to the same rigorous standard they apply to their own engineering, product, and research work. They debug coaching advice the way they debug code — and they leave reviews that reflect the actual delta between where they were and where they landed, not just whether the coach was pleasant. The 4.9-star rating from verified clients in one of the world’s most demanding professional communities is the most meaningful version of that number we could have.
Done-For-You. FAANG-Caliber. Backed by a Guarantee.
Resume + Cover Letter
Best for: Silicon Valley professionals getting filtered before a human reads their resume
Apple, Nvidia, Google, and Meta ATS systems and recruiter screens are calibrated to eliminate candidates whose resumes don’t use the right technical vocabulary at the right scale. We’ve been on that side of the hiring table. We know exactly what clears FAANG’s first pass — GPU architecture and CUDA depth for Nvidia, system-level scale and latency metrics for Google, hardware-software integration specifics for Apple, and social platform experimentation language for Meta.
What you get: ATS resume · editable DOCX · keyword map · unlimited revisions 30 days
- Written in the specific technical or domain language of your Silicon Valley target — Apple, Nvidia, Google, Meta, Cisco, Intel, or a high-growth startup
- Every bullet rewritten with quantified system-level impact at the scale FAANG hiring managers actually evaluate
- Cover letter tailored to your specific target role, team, and employer within Silicon Valley’s distinct hiring cultures
- Premium ($125): Resume + cover letter + full LinkedIn rewrite
Interview Accelerator
Best for: Silicon Valley professionals who need documents + interview prep together
Clearing Apple’s recruiter screen and Nvidia’s technical phone screen is step one. Winning the offer at FAANG requires preparation built around how each specific company actually interviews — Apple’s design thinking and cross-functional integration assessment, Google’s systems design and bar-raiser culture, Nvidia’s accelerated computing technical depth evaluation, Meta’s product sense and data fluency rounds — and compensation negotiation against total comp packages where the RSU component alone can exceed most professionals’ entire annual salary.
What you get: Resume · Cover Letter · LinkedIn · 90-min coaching · Unlimited edits 30 days
- All documents built for your specific Silicon Valley target — Apple, Nvidia, Google, Meta, Cisco, Intel, or a Series B–D startup
- 90-min recorded coaching session built around your target company’s actual interview format, leveling philosophy, and bar-raiser culture
- 3–4 business day delivery
- 60-Day Interview Guarantee: apply to 25 roles with no interview — we rewrite free
Executive Legacy Program
Best for: Silicon Valley Directors, VPs, and senior ICs targeting L7+ and executive roles
At Director, VP, and L7+ in Silicon Valley, the executive hiring process is a months-long gauntlet involving multiple hiring committee reviews, bar-raiser rounds, and compensation negotiations that regularly exceed $1M in total annual value. A weak application is eliminated before the first recruiter call. Complete executive presence package — every document, every angle — built to the FAANG executive standard.
What you get: Exec resume · cover letter · LinkedIn · value prop letter · 60-min coaching · 60-Day Guarantee
- Executive positioning built for Silicon Valley’s senior hiring culture — Apple silicon and platform leadership, Nvidia AI infrastructure leadership, Google L7+ systems scale, and Meta Reality Labs executive positioning
- 60-min strategy session: executive interview prep or total comp negotiation across base, bonus, and RSU components at the level Silicon Valley’s most valuable companies actually pay their senior leaders
- Pay in full or split with Klarna/Afterpay
LinkedIn Rewrite
Best for: Silicon Valley professionals invisible to Apple and Nvidia recruiters
Apple, Nvidia, Google, and Meta’s internal recruiting teams source on LinkedIn constantly — especially during headcount freezes when sourcing identified talent for roles that don’t exist yet. Nvidia’s AI infrastructure sourcing team searches for CUDA, Hopper architecture, and distributed training keywords that most engineers don’t know to include. Apple’s silicon sourcing team searches for process node specifics and power architecture depth. If your profile doesn’t surface, you never enter the conversation.
What you get: Headline · About · Experience bullets · recruiter keywords
- Headline engineered to appear in Apple, Nvidia, Google, Meta, Cisco, and Intel internal recruiter LinkedIn searches at the right level
- About section that communicates your technical depth and FAANG-caliber impact in the first three lines — the only three lines most recruiters read before deciding whether to click through
- Experience bullets rewritten with the system-level scale, domain-specific vocabulary, and quantified technical impact each Silicon Valley employer’s sourcing team actually searches for
Career Coaching
Best for: Silicon Valley professionals who need full strategy and navigation, not just documents
Silicon Valley’s market rewards professionals who understand how to time their search around headcount cycles, navigate FAANG’s internal referral ecosystem, and position for the leveling conversation — where L5 vs. L6 at Google or E5 vs. E6 at Meta represents $200K+ in annual total comp difference. This is weekly accountability, expert guidance, and curated Silicon Valley job leads every Monday until you land at the level and compensation your experience actually commands.
What you get: 1:1 coaching · resume/LinkedIn · weekly leads · strategy
- Essentials — $350: 2 sessions + resume/LinkedIn + 3 months leads + 3-Month Guarantee
- Advanced — $450: 3 sessions + exec resume + 6 months leads + total comp negotiation coaching
From Filtered to Hired in Silicon Valley — 4 Steps
Submit your resume. Within 24 hours we’ll identify exactly what’s costing you callbacks at Apple, Nvidia, Google, or Meta — missing technical depth, wrong scale language, generic impact statements. No pitch. The specific, actionable diagnosis your document needs in the world’s most competitive job market.
Your resume and LinkedIn are rebuilt from scratch — silicon architecture and supply chain precision for Apple, GPU architecture and CUDA platform depth for Nvidia, system-level scale and distributed infrastructure impact for Google, platform experimentation and ranking system language for Meta. Every bullet rewritten to communicate the impact you actually had at the scale FAANG evaluates it.
We prepare you for your specific target’s interview culture — Apple’s design thinking integration assessment, Google’s systems design bar-raiser rounds, Nvidia’s accelerated computing technical depth evaluation, Meta’s product sense and data fluency sessions — with total comp negotiation coaching that accounts for base, bonus, and RSU components at the level these companies actually pay.
Our clients average 58 days to offer. Silicon Valley headcount opens fast when it opens. Being positioned with the right document — one written at FAANG’s actual technical depth — before the window opens means you’re in the conversation instead of scrambling to catch up. That timing advantage compounds with every hiring cycle.
Real Silicon Valley Clients. Real Results. Verified.
These aren’t testimonials we wrote. These are verified reviews from real clients who were exactly where you are — qualified, experienced, and getting filtered by the world’s most demanding hiring market — and landed.
“Anthony worked with me to fix up my resume in just 30 minutes, and by the end of the week, I had a job! His help was truly invaluable. Don’t hesitate — you won’t regret it.”
“I got a $20K salary bump because I revised my resume to get me inside the right rooms. My resume told a real story of what I actually did. This was amazing.”
“They enhanced my resume, showcasing my strengths and tailoring it for specific industries. I’m now confident my resume will make an impact in any room I walk into.”
Frequently Asked Questions
Why choose Legacy Careers in Silicon Valley where career coaching is everywhere?
Silicon Valley has no shortage of resume writers and career coaches. What it has a critical shortage of is coaches who actually understand the technical and domain-specific hiring vocabulary that Apple, Nvidia, Google, and Meta evaluate — not just coaches who know how to format a resume and insert the right buzzwords. Most Silicon Valley career coaches are generalists applying generic frameworks to the world’s most specialized hiring market. The 87% placement rate and 58-day average to offer are built on understanding exactly what moves an application forward at each specific company — not on generic FAANG coaching templates that every competitor sells.
Do you know Apple’s hiring culture and what they evaluate technically?
Yes. Apple’s unified platform philosophy means every function is evaluated for cross-disciplinary integration depth — hardware teams must understand software constraints, software teams must understand silicon limitations, and product teams must understand both. Apple Silicon engineers are evaluated for process node specifics, power efficiency architecture, and the integration between CPU, GPU, Neural Engine, and memory subsystem. Supply chain professionals are evaluated for supplier qualification depth, component yield management, and the specific demand forecasting precision that building at Apple’s volume requires. We know the difference between an Apple resume and a generic tech hardware resume — and it’s significant.
Can you write for Nvidia’s GPU architecture and AI infrastructure roles?
Yes — accelerated computing is one of our deepest technical specialties. Nvidia’s GPU architecture team evaluates candidates for shader core design, memory hierarchy optimization, and thermal performance at process node. Their ML infrastructure team evaluates for CUDA kernel optimization, NCCL communication efficiency, Megatron-LM training specifics, and large-scale distributed training throughput metrics. Their enterprise software and solutions teams evaluate for the ability to translate GPU architecture depth into customer value at data center scale. We build for each of these teams specifically — not a single generic “semiconductor engineer” resume for all of them.
How do you handle Google’s leveling and bar-raiser culture?
Google’s leveling system — and the bar-raiser’s explicit mandate to maintain hiring standards across every team — means your resume needs to signal the right level unambiguously before the first recruiter call. L5 vs. L6 at Google is a $100–200K+ total comp difference — and the hiring committee evaluates your resume for the evidence of that level distinction. We know what L5, L6, and L7 impact looks like on paper at Google — and we build your resume to signal the right level clearly, so the conversation starts from a position of strength rather than ambiguous signal.
Do you work with Meta and their Reality Labs division?
Yes. Meta’s core apps organization — Facebook, Instagram, WhatsApp, Threads — evaluates engineers and PMs for social platform scale, experimentation framework depth, ranking and recommendation system specifics, and the specific growth and engagement metrics that billions of daily active users generate. Reality Labs is a separate evaluation culture entirely — hardware engineers are evaluated for AR/VR optical system design, spatial computing platform depth, and the specific display and sensing technology that makes XR viable. We build for both sides of Meta’s organization with distinct vocabulary for each.
What if I don’t get interviews after working with you?
The Interview Accelerator and coaching packages include a 60-Day or 3-Month Interview Guarantee. Apply to 25 relevant roles with no interview and we rewrite your resume at no additional cost. We back the work with a guarantee because 87% of our clients land — and we know exactly what Apple, Nvidia, Google, Meta, and Cisco’s hiring managers need to see on a document that earns a callback in the world’s most competitive technology market.
You’re qualified. Apple, Nvidia, and Google are hiring. The only thing standing between you and the interview is a resume written precisely enough to clear the world’s hardest hiring filter.
Apple, Nvidia, Google, and Meta hiring managers decide in 6 seconds. Those 6 seconds are won with technically precise domain language, system-level impact at the right scale, and ATS keyword depth that reflects the specific vocabulary each company uses internally — not generic tech resume language. Book a free 15-min consult. We’ll review your resume and tell you exactly what it needs to compete at Silicon Valley’s actual standard.