SambaNova Internship 2027–2028: Programs, Deadlines & How to Apply
Last updated: July 2026
SambaNova closed a $1 billion Series F in July 2026 at an $11 billion valuation, and CEO Rodrigo Liang told CNBC the company is strongly considering an IPO in 2027. With roughly 500 employees and custom AI chips powering inference for clients like JPMorgan Chase, SambaNova occupies the intersection of hardware innovation and enterprise AI that produces some of the most technically demanding internships in the industry. Intern positions are not always publicly posted, so the application window is narrow and the preparation window is now.
Quick Facts
| Fact | Detail |
|---|---|
| Where to apply | sambanova.ai/company/careers via Greenhouse ATS. Intern postings typically appear seasonally; set a job alert and check campus recruiting events at target schools |
| Application window (2027–28) | Expected September to November 2026 for summer 2027 roles. Positions filled as suitable candidates are found. Some years postings appear as late as January to February |
| Rolling? | Yes, effectively rolling. Online applications account for 54% of interview candidates, campus recruiting 27%, employee referrals 10% |
| Eligibility | Pursuing BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, or related field. MS/PhD preferred for ML and compiler roles. Strong academic background from top CS programs valued |
| Duration | Estimated 12 weeks (May/June through August). No official public documentation; industry standard for AI chip startups is 10 to 12 weeks |
| Compensation | Estimated $45 to $60/hr based on comparable AI chip startups and new grad offer data ($135K base). Housing and relocation support likely provided given Bay Area location. Pre-IPO equity is a significant additional draw |
| Visa sponsorship | H-1B sponsored (12 to 31 LCAs filed per year). F-1 students eligible via CPT. Full-time conversion sponsorship track record is established |
| Locations | Palo Alto, CA (HQ) and San Jose, CA (primary engineering hub). Austin, TX for some roles. Flexible hybrid model per BuiltIn profile |
| # Programs | 4 historical tracks: Software Engineering, ML/AI Compiler, Hardware Engineering, and ML Software Engineering. Intern positions posted per team on a seasonal basis |
SambaNova has historically offered internships across 4 tracks (SWE, ML/AI Compiler, Hardware Engineering, ML SWE), though no dedicated intern positions are listed as of July 2026. Rolling admissions with postings expected September to November 2026. Estimated intern pay is $45 to $60 per hour in the Bay Area, with pre-IPO equity exposure at an $11B valuation.
Externships are short, remote projects where you finish real work for a real company. The Wayfair AI Agent Engineering Externship and Beats by Dre Data Analytics Externship build the systems-programming, data-analysis, and ML-engineering evidence that SambaNova's technically demanding interview loop evaluates. Explore all Externships.
What Is a SambaNova Internship?
A SambaNova internship is a technically intensive placement at a $11 billion AI chip startup that builds Reconfigurable Dataflow Unit (RDU) chips and SambaCloud inference infrastructure for enterprise customers including JPMorgan Chase and sovereign AI partners across Australia, Europe, and the UK. Co-founded in 2017 by Stanford professors Kunle Olukotun (the father of multi-core processors) and Christopher Re, alongside Oracle veteran Rodrigo Liang, SambaNova competes directly with NVIDIA, Cerebras, and Groq in the custom AI accelerator space. The company's careers page explicitly lists internship programs among its growth opportunities and mentions mentorship initiatives, buddy programs, cross-departmental collaboration, and access to the entire organization including the founders. With roughly 500 employees and a potential 2027 IPO, interning now means pre-IPO equity exposure and a front-row seat to one of the most ambitious hardware bets in AI.
When Do SambaNova Internship Applications Open for 2027–2028?
SambaNova's internship hiring follows a seasonal pattern with more flexibility than FAANG companies. For summer 2027 roles, expect postings to appear between September and November 2026, though some years they surface as late as January or February. The process is effectively rolling: positions are filled as suitable candidates are found, and campus recruiting accounts for 27% of interview candidates. Glassdoor reports that the average SWE intern hiring process takes 35 days from application to offer. The critical insight is that SambaNova's small cohort size and $11B valuation make each intern seat highly competitive, so early preparation and referrals (10% of candidates) significantly improve your odds.
No summer 2027 intern postings are live yet, but they are expected between September and November 2026. This is the build window: strengthen your C/C++ and Python skills, study computer architecture, practice DSA (graphs, dynamic programming, concurrency), and build ML projects using PyTorch.
Intern postings expected on sambanova.ai/company/careers/job-openings via Greenhouse ATS. Apply early: rolling review means positions fill as candidates are found. Attend campus recruiting events if at a target school (27% of candidates enter this way) and leverage employee referrals (10% of candidates).
Interview window. The typical loop runs 22 to 35 days: recruiter screen, technical phone screen with DSA coding (45 to 60 minutes), 2 to 3 on-site or virtual rounds covering coding, system design, and behavioral fit, then an HR round. Difficulty is rated 3.2 out of 5.0 on Glassdoor.
Offers extended on a rolling basis. Pre-IPO equity is part of the compensation package, making timing especially relevant given the CEO's public statements about a 2027 IPO.
Estimated 12 weeks, full-time, May or June through August. Primary locations are Palo Alto and San Jose, CA. Work on RDU chip infrastructure, SambaCloud platform, ML compiler optimization, or hardware validation alongside a team that includes Stanford faculty co-founders.
Why You Must Apply the Week Applications Open
Rolling review at a company with limited intern headcount means the math is simple: earlier applicants face more open seats. SambaNova fills roughly 500 total positions across the company, and intern cohorts are small and targeted. Online applications account for 54% of candidates, but campus recruiting (27%) and employee referrals (10%) convert at higher rates. So the week-one moves are to apply the moment a posting appears, attend SambaNova's campus recruiting events if your school is targeted (Stanford, Berkeley, and other top CS programs are heavily recruited), and secure a referral from a current employee via LinkedIn. The SWE intern hiring process averages 35 days on Glassdoor, longer than most roles at the company, so early application compounds into early offers and more leverage on competing deadlines.
Which SambaNova Internship Programs Should You Target?
SambaNova does not run a single unified internship program. Instead, intern positions are posted per team on a seasonal basis. Four historical tracks have been identified from Glassdoor interview data and job posting analysis. Each reflects a different layer of the AI chip stack, from silicon design to ML framework integration.
| Track | Focus | Duration (est.) | Key skills |
|---|---|---|---|
| Software Engineer Intern | General software engineering across SambaNova's stack: SambaCloud platform, performance tooling, and infrastructure supporting the RDU chip ecosystem | 12 weeks | Python, C/C++, data structures and algorithms, systems programming, low-level debugging |
| ML/AI Compiler Intern | Develop and optimize compilers that map ML workloads onto SambaNova's Reconfigurable Dataflow Unit (RDU) architecture | 12 weeks | Compiler design (LLVM preferred), computer architecture, C/C++, performance optimization. MS/PhD preferred |
| Hardware Engineering Intern | Digital design, RTL, FPGA-related engineering, validation, and signal integrity for SambaNova's custom AI chips (SN40, SN50) | 12 weeks | Verilog/SystemVerilog, computer architecture, digital design, validation, signal integrity |
| ML Software Engineer Intern | ML model optimization, framework integration (PyTorch, TensorFlow), and building scalable ML systems on SambaNova hardware | 12 weeks | Python, PyTorch/TensorFlow, machine learning fundamentals, model optimization, scalable systems. MS/PhD preferred |
See current openings on the SambaNova careers portal. As of July 2026, 29 roles are open (mostly senior/principal level) with an AI Systems Performance Engineer New Graduate role in San Jose. Intern postings typically appear seasonally in fall.
What Are the Eligibility Requirements?
SambaNova's eligibility requirements vary by track, but several patterns repeat across postings and Glassdoor interview data:
• Education: pursuing a BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field. MS or PhD is preferred for ML and compiler tracks.
• Academic background: strong performance at top CS programs is valued, reflecting the company's Stanford co-founder roots. Campus recruiting accounts for 27% of interview candidates, with Stanford and Berkeley heavily targeted.
• Work authorization: H-1B visas are sponsored (12 to 31 LCAs filed per year). International students on F-1 visas can participate via CPT. The company's sponsorship track record indicates willingness to sponsor full-time employment post-internship.
• Location: primary intern locations are Palo Alto and San Jose, CA (Bay Area). Some roles may be in Austin, TX. The company operates a flexible hybrid model per its BuiltIn profile.
How Competitive Are SambaNova Internships?
Highly competitive for a startup of this size. SambaNova has roughly 500 employees, a $3.7 billion total raise, and an $11 billion valuation, putting it in direct competition with NVIDIA, Cerebras, and Groq for top talent. The company recruits heavily from top CS programs, the technical bar spans architecture, systems, ML, and low-level programming, and intern positions are not always publicly posted. Estimated acceptance rate is in the low single digits (likely 3 to 8%). Prior internship experience at comparable companies, published research, contributions to ML or compiler open-source projects, and familiarity with dataflow architectures are all strong differentiators.
What Skills Does SambaNova Look For, and How Do You Build Them?
Across six SambaNova engineering job descriptions spanning SWE, ML/AI Compiler, Hardware, and ML SWE functions, Python and C/C++ each appear in five, and data structures and algorithms in four. But the standout pattern is depth: SambaNova is not a web company. The technical interview covers computer architecture, concurrency primitives, graph search, dynamic programming, and low-level debugging. Glassdoor rates interview difficulty at 3.2 out of 5.0, and questions like asking what would happen without a synchronization primitive signal the level of systems knowledge expected.
What SambaNova looks for in interns
Skills across 6 SambaNova intern & analyst job descriptions · 2025–26 SambaNova engineering JDs and Glassdoor interview data, projecting intern requirements
Method: full-text analysis of six SambaNova engineering job descriptions across SWE, ML/AI Compiler, Hardware Engineering, and ML SWE roles, supplemented by Glassdoor interview question data (67 reports). MS/PhD-preferred roles weight compiler and ML skills higher.
How Is Demand for ML and Hardware Engineer Interns Moving Right Now?
ML and hardware engineer intern hiring right now: July 2026
Across US ML-engineer and hardware-engineer intern postings tracked this week · aggregate market data, all employers
The AI chip sector is in a build-out phase, with SambaNova's $1B Series F and potential 2027 IPO signaling sustained investment. Intern demand at custom-silicon companies is rising, but cohort sizes remain small, so each application carries higher stakes.
Method: aggregate analysis of US ML-engineer-intern and hardware-engineer-intern postings, July 2026 baseline. SambaNova-specific intern headcount is not publicly disclosed; market figures reflect the broader AI chip and ML infrastructure sector.
Build These Skills Before You Apply
Every skill in that chart maps to a remote Externship where you finish a real project before a posting opens.
| Skill (from real JDs) | JD evidence | Externship that builds it |
|---|---|---|
| Python, C/C++ & systems programming | SWE JDs: "proficiency in Python, C/C++, data structures and algorithms, systems programming" | Wayfair AI Agent Engineering |
| Data analysis, ML evaluation & model optimization | ML SWE JDs: "ML model optimization, framework integration, building scalable ML systems" | Beats by Dre Data Analytics |
| System design & API architecture | SWE and ML JDs: "performance tooling, infrastructure supporting the RDU chip ecosystem, scalable systems" | Wayfair AI Agent Engineering |
The Wayfair project delivers the systems-engineering and architecture evidence that SambaNova's coding and system design interview rounds probe for, and the Beats project produces the data-analysis and ML-evaluation portfolio the ML SWE track wants.
What Is the SambaNova Application and Interview Process Like?
SambaNova's interview process spans 22 to 35 days depending on role, with 58.6% of candidates reporting a positive experience on Glassdoor. The typical loop for intern candidates:
1. Apply online via sambanova.ai/company/careers. Submit your resume through the Greenhouse ATS. Online applications account for 54% of interview candidates. Campus recruiting events and employee referrals are alternative high-conversion channels. Legitimate SambaNova communications come only from @sambanova.ai email addresses.
2. Recruiter screen (15 to 30 minutes). Background, motivations, and logistics. This is a fit and interest check, not a technical evaluation. Expect questions about why SambaNova and your interest in AI hardware and infrastructure.
3. Technical phone screen (45 to 60 minutes). Resume deep-dive (15 minutes), then a coding question (35 minutes) covering DSA topics like graph search, dynamic programming, and concurrency primitives, plus Q and A (5 to 10 minutes). The coding is done live, not on a take-home.
4. On-site or virtual loop (2 to 3 rounds). Round 1 is coding with basic-to-intermediate DSA. Round 2 is system design or low-level design, covering API and schema design and, for ML roles, designing scalable ML systems. Round 3 is a hiring manager behavioral round covering project discussion and team fit.
5. HR round and offer. Compensation expectations and logistics. Offers typically include pre-IPO equity with a 4-year vesting schedule (25% year-one cliff, then 2.08% monthly). The $11B valuation and potential 2027 IPO make the equity component especially noteworthy.
Glassdoor rates interview difficulty at 3.2 out of 5.0, placing SambaNova in the moderate-to-hard range. The hardest reported questions involve low-level systems concepts: one candidate was asked what output a program would produce without a synchronization primitive, and another reported deep dives on computer architecture and concurrency. Drill C/C++ systems programming and DSA (graphs, DP, concurrency) to clear the coding rounds, and prepare project deep-dives tied to your resume.
What Students on Reddit Say
SambaNova appears in CS career communities primarily through interview experience discussions and competitive offer comparisons. Three threads, all paraphrased.
A candidate received an interview invitation from a domain that was not SambaNova's official address, and the community flagged it as a likely phishing attempt. The takeaway: legitimate SambaNova communications come exclusively from @sambanova.ai email addresses.
A candidate who interviewed at several top companies including SambaNova noted that SambaNova's process advanced them to the final round before ultimately not extending an offer, highlighting the multi-stage process and the selectivity of the final decision.
Discussion about ML and AI compiler internship interviews at AI chip companies including SambaNova emphasized the specialized nature of these roles, with candidates noting that compiler design knowledge and computer architecture fundamentals are prerequisites, not nice-to-haves.
How Do You Stand Out at an $11B AI Chip Startup with a 3 to 8% Acceptance Rate?
Three moves, all before a posting appears. First, go deep on systems: SambaNova interviews test computer architecture, concurrency, and low-level debugging at a level that separates AI chip companies from web companies. Drill C/C++ systems programming, study dataflow architectures, and practice DSA problems focused on graphs, dynamic programming, and synchronization primitives. Second, leverage campus recruiting and referrals: 27% of candidates enter through campus events and 10% through referrals, both converting at higher rates than the 54% who apply online. If your school is targeted (Stanford, Berkeley, and other top CS programs), attend every SambaNova event. If not, network with current employees on LinkedIn for a referral. Third, time the equity window: the CEO publicly stated SambaNova is strongly considering a 2027 IPO. Interning before an IPO means pre-IPO equity at an $11B valuation, a compensation differentiator that a company like NVIDIA can no longer offer. Frame your application around that narrative and the company's mission in enterprise AI inference.
What Other Companies Should You Consider?
SambaNova sits in the AI hardware and infrastructure tier. If you are building an AI-chip or ML-infrastructure internship list, these companies hire for overlapping skills:
- NVIDIAThe dominant AI compute company with the largest intern program in the chip space, competing directly with SambaNova's RDU architectureGuide →
- GoogleBuilds TPU custom AI accelerators in-house and runs one of the largest ML infrastructure internship programs globallyGuide →
- MicrosoftAI infrastructure at scale with Azure AI and custom silicon development, plus large intern cohorts across engineeringGuide →
- DatabricksData and AI platform with ML engineering and infrastructure intern tracks that overlap with SambaNova's ML SWE functionGuide →
- Scale AIAI data infrastructure company whose evaluation and benchmarking work complements the custom-silicon inference pipeline SambaNova buildsGuide →
Our tech internships summer 2027 guide maps the whole landscape, timeline by timeline.
FAQ
Does SambaNova offer internships?
Yes. SambaNova's careers page explicitly lists internship programs among growth opportunities, and the company has historically offered internships across Software Engineering, ML/AI Compiler, Hardware Engineering, and ML Software Engineering tracks. Intern postings typically appear seasonally in fall for summer roles. As of July 2026, no dedicated intern positions are currently listed, but an AI Systems Performance Engineer New Graduate role is open in San Jose.
How much do SambaNova interns get paid?
Reliable intern-specific pay data is limited. Based on comparable data points, including NVIDIA interns at $58.25 per hour and SambaNova new grad offers at $135,000 base, estimated intern pay is approximately $45 to $60 per hour. Housing and relocation support is likely provided given the Bay Area location. Pre-IPO equity exposure at an $11 billion valuation is a significant additional draw.
How hard is the SambaNova interview?
Glassdoor rates interview difficulty at 3.2 out of 5.0 (moderate-to-hard). The process typically spans 22 days overall and 35 days for SWE intern roles. It includes a recruiter screen, technical phone screen with live coding, 2 to 3 on-site or virtual rounds covering DSA, system design, and behavioral fit. Topics include graph search, dynamic programming, concurrency primitives, computer architecture, and ML systems design.
Does SambaNova sponsor visas for interns?
SambaNova sponsors H-1B visas, filing 12 to 31 Labor Condition Applications per year. International students on F-1 visas can participate in internships via CPT. The company's sponsorship track record indicates willingness to sponsor full-time employment post-internship.
Is it worth interning at SambaNova before a potential IPO?
Potentially, yes. SambaNova's CEO stated the company is strongly considering an IPO in 2027. With an $11 billion valuation and private stock as part of compensation (4-year vest, 25% year-one cliff), interning now could provide pre-IPO equity exposure. However, Glassdoor ratings average 3.1 out of 5.0 with senior management rated lowest at 2.4, so weigh the equity upside against culture reviews.
Where are SambaNova internships located?
The primary intern locations are Palo Alto, CA (headquarters) and San Jose, CA (main engineering hub). Some roles may be based in Austin, TX. The company operates a flexible hybrid model. International offices in Bengaluru and London are not typical for US intern placements.
What skills do I need for a SambaNova internship?
It depends on the track. SWE interns need Python, C/C++, and strong DSA. ML/AI Compiler interns need compiler design knowledge (LLVM preferred) and computer architecture fundamentals. Hardware interns need Verilog/SystemVerilog and digital design experience. ML SWE interns need Python, PyTorch or TensorFlow, and ML fundamentals. Across all tracks, systems programming ability and comfort with low-level debugging are consistently valued.
SambaNova's intern cohorts are small, the technical bar is high, and the equity window before a potential 2027 IPO is closing. Build the systems-engineering proof now with a remote Externship, so your application has finished work to point at when postings go live this fall.
About the Author
Bifei Wang has spent 17 years focused on human flow and the growth of young professionals, spanning international education, career training and coaching, and recruitment process outsourcing. Over 7 years at Extern, he has had one-on-one sessions with thousands of students exploring careers in consulting, finance, tech, marketing, and data, giving him a firsthand view of how the job market has shifted for early-career professionals and what it actually takes to break in.
